#Sensitive Data Discovery Market

[mariacallous]

When Microsoft named its new Windows feature Recall, the company intended the word to refer to a kind of perfect, AI-enabled memory for your device. Today, the other, unintended definition of “recall”—a company's admission that a product is too dangerous or defective to be left on the market in its current form—seems more appropriate.

On Friday, Microsoft announced that it would be making multiple dramatic changes to its rollout of its Recall feature, making it an opt-in feature in the Copilot+ compatible versions of Windows where it had previously been turned on by default, and introducing new security measures designed to better keep data encrypted and require authentication to access Recall's stored data.

“We are updating the set-up experience of Copilot+ PCs to give people a clearer choice to opt-in to saving snapshots using Recall,” reads a blog post from Pavan Davuluri, Microsoft's corporate vice president for Windows and devices. “If you don’t proactively choose to turn it on, it will be off by default.”

The changes come amid a mounting barrage of criticism from the security and privacy community, which has described Recall—which silently stores a screenshot of the user's activity every five seconds as fodder for AI analysis—as a gift to hackers: essentially unrequested, preinstalled spyware built into new Windows computers.

In the preview versions of Recall, that screenshot data, complete with the user's every bank login, password, and porn site visit would have been indefinitely collected on the user's machine by default. And though that highly sensitive data is stored locally on the user's machine and not uploaded to the cloud, cybersecurity experts have warned that it all remains accessible to any hacker who so much as gains a temporary foothold on a user's Recall-enabled device, giving them a long-term panopticon view of the victim's digital life.

"It makes your security very fragile,” as Dave Aitel, a former NSA hacker and founder of security firm Immunity, described it—more charitably than some others—to WIRED earlier this week. “Anyone who penetrates your computer for even a second can get your whole history. Which is not something people want.”

In addition to making Recall an opt-in feature, Microsoft’s Davuluri also writes that the company will make changes to better safeguard the data Recall collects and more closely police who can turn it on, requiring that users prove their identity via its Microsoft Hello authentication function any time they either enable Recall or access its data, which can require a PIN or biometric check of the user’s face or thumbprint. Davuluri says Recall’s data will remain encrypted in storage until the user authenticates.

All of that is a “great improvement,” says Jake Williams, another former NSA hacker who now serves as VP of R&D at the cybersecurity consultancy Hunter Strategy, where he says he's been asked by some of the firm's clients to test Recall's security before they add Microsoft devices that use it to their networks. But Williams still sees serious risks in Recall, even in its latest form.

Many users will turn on Recall, he points out, partly due to Microsoft’s high-profile marketing of the feature. And when they do, they’ll still face plenty of unresolved privacy problems, from domestic abusers that often demand partners give up their PINs to subpoenas or lawsuits that compel them to turn over their historical data. “Satya Nadella has been out there talking about how this is a game changer and the solution to all problems,” Williams says, referring to Microsoft's CEO. “If customers turn it on, there’s still a huge threat of legal discovery. I can’t imagine a corporate legal team that’s ready to accept the risk of all of a user’s actions being turned over in discovery.”

For Microsoft, the Recall rollback comes in the midst of an embarrassing string of cybersecurity incidents and breaches—including a leak of terabytes of its customers' data and a shocking penetration of government email accounts enabled by a cascading series of Microsoft security slipups—that have grown so problematic as to become a sticking point given its uniquely close relationship with the US government.

Those scandals have escalated to the degree that Microsoft's Nadella issued a memo just last month declaring that Microsoft would make security its first priority in any business decision. “If you’re faced with the trade-off between security and another priority, your answer is clear: Do security,” Nadella's memo read (emphasis his). “In some cases, this will mean prioritizing security above other things we do, such as releasing new features or providing ongoing support for legacy systems.”

By all appearances, Microsoft's rollout of Recall—even after today's announcement—displays the opposite approach, and one that seems more in line with business as usual in Redmond: Announce a feature, get pummeled for its glaring security failures, then belatedly scramble to control the damage.

[taylorvp1]

Verifitech's Guide on the Significance of Employee Background Verification in 2024

In today’s fast-paced, competitive labour market, hiring the right individuals is critical to a company’s success and image. Background checks on employees are becoming more crucial than ever as companies strive to put together trustworthy, capable teams. Here are some justifications for its importance and potential benefits for your business. 1. Ensuring Workplace Safety Creating a secure work environment through background checks is one of the main goals. Employers may discover red flags throughout the hiring process, such as violent pasts, criminal histories, or other risky habits that could endanger clients or other staff members. This task is necessary to keep the workplace reliable and secure.

2. Maintaining the Company's Credibility Reputation is among a company's most valuable assets. Hiring persons with questionable backgrounds could lead to controversies and legal issues, which would harm the company's brand. In-depth background checks help to lower these risks by guaranteeing that only individuals with impeccable references and high moral standards are hired. 3. Verifying Background and Credentials Despite what the general public believes, resumes that are exaggerated or misleading are more prevalent. Checking a candidate's background helps make sure that their professional licences, employment history, and credentials are authentic. This ensures that the employee is capable of performing the job and shields the company from the costs associated with hiring underqualified personnel.

4. Reducing Unfilled Positions Making the incorrect hire can be expensive and time-consuming. The discovery of a mismatch typically leads to an early termination, increasing the cost of recruiting and onboarding replacement staff. Thorough background checks can significantly reduce the possibility of choosing unsuitable candidates, which will reduce turnover and foster a more stable workforce. 5. Compliance with Law and Regulation Requirements Many firms have specific legal requirements regarding employee background checks. Industries including finance, healthcare, and education, for example, usually impose stringent regulations to ensure the security and integrity of their operations. By abiding by these guidelines, the company avoids legal repercussions and wins the confidence of stakeholders and customers.

6. Safeguarding Commercial Assets Employees frequently have access to sensitive data and valuable resources. Background checks shield company assets from theft, fraud, and other misbehaviour by assessing the dependability of potential hires. For employment involving data administration, intellectual property, and financial transactions in particular, this is essential. Establishing an Effective Background Verification Process with Verifitech Background checks on employees must be conducted in a thorough and well-organized manner in order to reap the maximum benefits.

Here are some essential steps to take: Join forces with the Reputable Background Check Company, Verifitech: Verifitech and other specialised businesses provide the expertise and tools required to do thorough examinations promptly. Observe Legal Requirements:

Make sure your background check process complies with all relevant rules and regulations to avoid any legal issues. Be Truthful and Open with Candidates: Gain the consent of potential hires by outlining the verification process to them. This promotes transparency and self-assurance. Regularly Revise Your Verification Policies:

It is recommended to review and update your background check policy on a regular basis to reflect changing industry standards and legal obligations. Conclusion:

Background checks on employees are more than simply a formality; they are a strategic tool that can significantly affect your company's performance and ethics in 2024. Background checks are crucial to hiring trustworthy employees because they protect workplace safety, maintain the reputation of your business, and validate the qualifications of potential hires. Establishing a comprehensive background verification process with Verifitech is a proactive step that will contribute to the development of a trustworthy, efficient, and reputable business. In order to stay ahead of the competition in the job market, make sure your hiring practices are up to date and comprehensive.

[smbmatters]

Exploring the Latest Breakthroughs in Technology

Introduction

Technology is evolving at a rapid pace, bringing with it groundbreaking innovations that are reshaping our world. From artificial intelligence to renewable energy solutions, these advancements are enhancing our lives in ways we never imagined. In this article, we'll explore some of the most exciting recent breakthroughs in technology that are set to transform various industries and everyday life.

1. Artificial Intelligence and Machine Learning

Artificial Intelligence (AI) and Machine Learning (ML) are at the forefront of technological innovation. AI and ML are being integrated into a myriad of applications, from healthcare diagnostics to personalized marketing. These technologies analyze vast amounts of data to make predictions, automate processes, and provide valuable insights.

AI in Healthcare

AI is revolutionizing healthcare by improving diagnostic accuracy and patient care. Machine learning algorithms can analyze medical images to detect diseases like cancer at early stages, enabling timely treatment and better patient outcomes.

AI in Everyday Life

In our daily lives, AI powers virtual assistants like Siri and Alexa, enhances customer service through chat-bots, and personalizes our online shopping experiences. The continuous improvement of AI algorithms is making these applications smarter and more efficient.

2. Quantum Computing

Quantum Computing promises to solve problems that are currently insurmountable for classical computers. By leveraging the principles of quantum mechanics, quantum computers perform complex calculations at unprecedented speeds.

Advancements in Cryptography

Quantum computing has the potential to revolutionize cryptography by breaking encryption codes that secure our digital communications. This breakthrough necessitates the development of new cryptographic methods to protect sensitive information.

Applications in Drug Discovery

In the pharmaceutical industry, quantum computing can simulate molecular interactions at a granular level, accelerating the drug discovery process and leading to the development of new, effective medications.

3. Renewable Energy Technologies

The shift towards renewable energy technologies is crucial in combating climate change. Innovations in solar, wind, and battery technologies are making renewable energy more efficient and accessible.

Solar and Wind Energy

Recent advancements in solar panel efficiency and wind turbine design are increasing the amount of energy harvested from natural sources. These improvements are making renewable energy a viable alternative to fossil fuels.

Energy Storage Solutions

Enhanced battery technologies are crucial for storing renewable energy, ensuring a consistent power supply even when the sun isn't shining or the wind isn't blowing. Breakthroughs in battery capacity and lifespan are driving the adoption of renewable energy systems.

4. Internet of Things (IoT)

The Internet of Things (IoT) connects devices and systems, enabling them to communicate and share data. This connectivity is transforming homes, industries, and cities into smarter, more efficient environments.

Smart Homes

IoT technology is making homes smarter by automating lighting, heating, and security systems. Smart home devices can be controlled remotely, offering convenience and energy savings.

Industrial IoT

In industrial settings, IoT devices monitor equipment health and optimize manufacturing processes. Predictive maintenance enabled by IoT sensors can reduce downtime and improve efficiency.

5. Blockchain Technology

Blockchain is revolutionizing how we handle transactions and data security. This decentralized ledger technology ensures transparency and security in various applications.

Financial Transactions

Blockchain is streamlining financial transactions by eliminating the need for intermediaries. It provides a secure and transparent way to transfer funds and verify transactions.

Supply Chain Management

In supply chains, blockchain offers traceability and transparency, reducing fraud and ensuring the authenticity of products. This technology is particularly beneficial in industries like pharmaceuticals and food.

6. 5G Technology

The roll-out of 5G technology is set to enhance connectivity with faster speeds and lower latency. This advancement will support the growth of IoT, autonomous vehicles, and smart cities.

Enhanced Mobile Connectivity

5G technology promises to improve mobile experiences with seamless streaming and quick downloads. It will also enable new applications in virtual and augmented reality.

Smart Cities

5G will facilitate the development of smart cities, where real-time data exchange enhances urban management systems, traffic control, and emergency services.

7. Autonomous Vehicles

Autonomous vehicles are set to transform transportation. Advances in AI and sensor technology are bringing self-driving cars closer to reality, offering safer and more efficient travel options.

Safety and Efficiency

Autonomous vehicles can reduce accidents caused by human error and optimize traffic flow, reducing congestion and emissions. They hold the potential to revolutionize the logistics and delivery sectors.

Delivery Services

Self-driving delivery vehicles and drones are making logistics faster and more reliable. These innovations are particularly beneficial in urban areas, where they can reduce traffic and pollution.

8. Biotechnology

Biotechnology is advancing rapidly, offering solutions in healthcare, agriculture, and environmental management. Innovations in gene editing, synthetic biology, and bio-engineering are opening new possibilities.

Gene Editing

CRISPR technology is enabling precise gene editing, offering potential cures for genetic diseases and innovations in agriculture. This technology is paving the way for new treatments and sustainable farming practices.

Synthetic Biology

Synthetic biology is creating new biological systems and organisms, leading to advancements in medicine, bio-fuels, and sustainable materials. This field holds promise for addressing global challenges such as disease and climate change.

9. Augmented Reality (AR) and Virtual Reality (VR)

AR and VR technologies are providing immersive experiences in entertainment, education, and various professional fields. These technologies are creating new ways to interact with digital content.

Gaming and Entertainment

AR and VR are enhancing gaming experiences by creating immersive environments and interactive game-play. These technologies are also being used in movies and virtual concerts, offering new forms of entertainment.

Professional Training

In education and professional training, AR and VR offer realistic simulations for hands-on learning. Fields like medicine, engineering, and aviation benefit from these technologies by providing safe and effective training environments.

Conclusion

The latest breakthroughs in technology are driving significant changes across various sectors. From AI and quantum computing to renewable energy and autonomous vehicles, these innovations are shaping the future and improving our lives. Staying informed about these developments is crucial for individuals and businesses alike to leverage the benefits of these technological advancements. As we look to the future, these game-changing technologies will continue to evolve, offering new opportunities and solutions to the challenges we face.

[audreyshura]

Feature of Leonardo AI

Introduction to Leonardo AI

Leonardo AI, an advanced Artificial Intelligence system, represents a significant milestone in technological innovation. This AI marvel encompasses a vast array of cutting-edge features that revolutionize various industries and daily operations.

Related: Leonardo AI - Your Absolute Partner To Create AI Art!

Understanding AI Technology

1. Definition and Basics of AI

Artificial Intelligence, commonly known as AI, refers to the simulation of human intelligence in machines programmed to think, learn, and problem-solve like humans. Leonardo AI harnesses this concept, offering an exceptional level of cognitive capabilities.

2. Evolution of AI in Modern Times

The journey of AI has been marked by remarkable advancements, with Leonardo AI being at the forefront of this evolution. It incorporates state-of-the-art technologies to enhance its functionality and adaptability.

Features and Capabilities of Leonardo AI

1. Deep Learning

Leonardo AI excels in deep learning, a subset of AI that enables machines to learn and make decisions independently, mirroring human cognitive abilities. This feature enables the system to continually improve and evolve.

2. Natural Language Processing (NLP)

With sophisticated natural language processing capabilities, Leonardo AI comprehends and processes human language nuances. It interprets, understands, and generates human-like responses, facilitating seamless interactions.

3. Image Recognition

The AI's prowess in image recognition surpasses expectations, swiftly identifying and categorizing visual data. From facial recognition to object detection, Leonardo AI's accuracy is unparalleled.

4. Creativity and Innovation

Unlike conventional AI systems, Leonardo AI exhibits a unique trait: creativity. It can generate original content, art, and designs, showcasing its innovative potential.

Applications and Industries Benefiting from Leonardo AI

1. Healthcare

In the healthcare sector, Leonardo AI assists in diagnosis, drug discovery, and personalized treatment plans, significantly improving patient care and outcomes.

2. Marketing and Advertising

Marketers leverage Leonardo AI's data analysis and predictive modeling to create targeted campaigns and understand consumer behavior, optimizing marketing strategies.

3. Finance

In the financial domain, Leonardo AI aids in fraud detection, risk assessment, and algorithmic trading, enhancing accuracy and efficiency.

4. Entertainment

In entertainment, this AI contributes to content creation, virtual reality experiences, and personalized recommendations, elevating user engagement.

Impact and Future Potential of Leonardo AI

1. Ethical Considerations

While the capabilities of Leonardo AI are groundbreaking, ethical concerns regarding privacy, bias, and job displacement necessitate careful consideration and regulation.

2. Advancements and Possibilities

The future holds immense potential for Leonardo AI, with ongoing research and development aimed at expanding its capabilities and applications.

Conclusion

Leonardo AI stands as a testament to the incredible advancements in Artificial Intelligence, offering unparalleled features that transcend conventional boundaries. Its impact across industries showcases the immense potential and transformative power of AI technology.

FAQs

Is Leonardo AI accessible to everyone?

Leonardo AI is primarily utilized by businesses and organizations that require advanced AI capabilities. However, aspects of its technology may be integrated into consumer applications in the future.

How does Leonardo AI ensure data privacy and security?

Leonardo AI employs robust encryption and data anonymization techniques to safeguard sensitive information, prioritizing user privacy and security.

Can Leonardo AI learn from its mistakes and improve over time?

Yes, Leonardo AI is designed to learn from its interactions and errors, continuously enhancing its performance and capabilities.

What distinguishes Leonardo AI from other AI systems available in the market?

Leonardo AI's unique blend of deep learning, creativity, and diverse applications sets it apart, offering a more comprehensive and innovative AI experience.

What are the potential challenges in the widespread adoption of Leonardo AI?

Challenges include regulatory concerns, ethical dilemmas, and ensuring fair and equitable access to AI technology.

[gloriousfestgentlemen02]

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Blockchain SEO Benchmarks: Navigating the Future of Online Visibility

In the ever-evolving landscape of digital marketing, blockchain technology is increasingly making its mark. One area where this impact is particularly significant is in Search Engine Optimization (SEO). As more businesses and individuals explore the potential of blockchain, understanding how it intersects with SEO becomes crucial. This article delves into the benchmarks that are shaping the future of online visibility through blockchain.

The Rise of Blockchain in SEO

Blockchain technology offers a decentralized and secure way to store data, which has profound implications for how information is indexed and ranked by search engines. Unlike traditional SEO practices that rely heavily on centralized authorities, blockchain-based systems can provide a more transparent and trustworthy framework for content discovery.

Transparency and Trust

One of the key benefits of using blockchain in SEO is increased transparency. With every transaction or piece of content being recorded on a public ledger, there's an inherent level of trust built into the system. This can help combat issues like spam and low-quality content, which often plague traditional search engine results.

Decentralized Ranking Systems

Another significant advantage is the potential for decentralized ranking systems. Instead of relying on a single entity to determine what content ranks where, blockchain could enable a more democratic approach. Users and algorithms working together on a distributed network could create a fairer and more accurate representation of what is valuable and relevant.

Challenges and Considerations

While the potential benefits are clear, there are also challenges to consider. For instance, the complexity of blockchain technology might make it difficult for some users to adopt. Additionally, ensuring privacy while maintaining transparency is a delicate balance that needs careful consideration.

Privacy Concerns

As everything on a blockchain is publicly visible, there's a risk of compromising user privacy. Developers and stakeholders must work together to find solutions that protect sensitive information while still leveraging the benefits of transparency.

Looking to the Future

The integration of blockchain into SEO is still in its early stages, but the possibilities are exciting. As more research and development are conducted, we can expect to see innovative solutions that transform how we interact with online content.

What Do You Think?

How do you envision blockchain changing the SEO landscape? Are there specific areas where you think it will have the most impact? Share your thoughts and predictions in the comments below.

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加飞机@yuantou2048

SEO优化

負面刪除

[agiratechnologies]

Building the Future with Generative AI: A Guide to Gen AI Frameworks

Introduction

As artificial intelligence continues to evolve, businesses and innovators are leveraging generative AI to create new possibilities in content creation, automation, and decision-making. Gen AI Frameworks are at the core of this transformation, providing the necessary tools and architectures to build advanced AI models that drive efficiency, creativity, and personalization. By implementing generative AI solutions, organizations can revolutionize industries such as marketing, design, healthcare, and software development.

Understanding Generative AI and Its Applications

Generative AI refers to artificial intelligence models capable of generating human-like content, including text, images, videos, and even code. Unlike traditional AI systems that analyze and classify data, generative AI learns patterns from vast datasets and produces new, original content. The adoption of Gen AI Frameworks enables businesses to harness the power of generative models to enhance automation, innovation, and user experience.

Key applications of generative AI include:

Content Creation and Personalization AI-powered tools generate unique written content, graphics, and multimedia assets tailored to specific audiences.

Chatbots and Virtual Assistants AI-driven assistants offer real-time, intelligent responses, improving customer service and engagement.

Automated Software Development Generative AI streamlines code generation, bug detection, and software optimization.

Healthcare and Drug Discovery AI models assist in medical research, patient diagnostics, and the creation of new pharmaceuticals.

Design and Creativity Enhancement AI-based tools help artists, designers, and musicians craft unique and innovative projects.

The Role of Gen AI Frameworks

A Gen AI Framework is a set of tools, libraries, and pre-trained models that simplify the development and deployment of generative AI solutions. These frameworks provide the foundation for AI researchers and developers to build, fine-tune, and integrate AI models into real-world applications.

Popular Gen AI frameworks include:

TensorFlow and Keras: Open-source frameworks widely used for deep learning and AI model training.

PyTorch: A flexible and scalable AI framework favored by researchers and developers.

Hugging Face Transformers: A robust library for natural language processing and AI model fine-tuning.

OpenAI’s GPT and DALL·E: Leading-edge AI models that power text and image generation.

Stable Diffusion and MidJourney: Tools for high-quality AI-generated art and design.

Benefits of Implementing a Gen AI Framework

Integrating a Gen AI Framework into business operations provides numerous advantages, including:

Enhanced Productivity Automating content creation and data analysis reduces manual efforts and accelerates workflows.

Cost Efficiency AI-driven solutions minimize operational costs by automating tasks traditionally performed by human workers.

Scalability Generative AI frameworks support the rapid scaling of AI models to meet growing business needs.

Personalization and Customer Engagement AI-powered recommendations and custom content boost user engagement and satisfaction.

Innovative Edge Businesses leveraging generative AI stay ahead of the competition by producing unique, AI-enhanced products and services.

Challenges in Adopting Generative AI and Solutions

Despite its benefits, adopting Gen AI Frameworks presents certain challenges. Companies must navigate issues related to:

Data Privacy and Security: AI-generated content may involve sensitive data, requiring robust security measures.

Ethical Considerations: Generative AI can create misleading or biased content, necessitating ethical guidelines.

Computational Costs: Training and running AI models require significant computing resources. Solution: Cloud-based AI services can mitigate costs.

Integration Complexity: AI implementation may be complex. Solution: Adopting user-friendly AI frameworks simplifies deployment.

Future Trends in Generative AI

As generative AI continues to advance, emerging trends include:

AI-Generated Virtual Worlds: AI will play a major role in gaming, simulations, and metaverse environments.

Multimodal AI Models: Future AI systems will integrate text, image, and video generation for more comprehensive solutions.

AI-Driven Scientific Discoveries: AI will accelerate research in medicine, climate science, and material innovation.

Explainable AI: Enhancing transparency and trust in AI-generated content.

Conclusion

Generative AI is reshaping industries by enabling automation, creativity, and personalization at scale. By leveraging Gen AI Frameworks, businesses can develop powerful AI solutions that drive efficiency and innovation. Investing in generative AI ensures organizations stay competitive, future-proof their operations, and unlock new opportunities in the evolving digital landscape.

[rainyducktiger]

Microplate Luminometer Market Size Share and Demand Analysis to 2033

The microplate luminometer market is experiencing significant growth, driven by advancements in research, diagnostics, and the increasing need for precise, high-throughput analysis. These instruments are essential in detecting and quantifying low-light signals from chemiluminescent and bioluminescent reactions, enabling researchers to explore various biological processes such as enzyme activity, cell proliferation, and gene expression. The market's expansion is attributed to technological innovations, rising applications in drug discovery, and the growing demand for personalized medicine.

Market Overview

As of 2023, the global microplate luminometer market is valued at approximately USD 0.6 billion and is projected to reach USD 0.83 billion by 2031, registering a compound annual growth rate (CAGR) of 4.02% during the forecast period. citeturn0search4 This growth is propelled by the increasing adoption of microplate luminometers in various applications, including drug discovery, chemical kinetics, quality control, toxicology, and bioassay validation.

𝗗𝗼𝘄𝗻𝗹𝗼𝗮𝗱 𝗮 𝗙𝗿𝗲𝗲 𝗦𝗮𝗺𝗽𝗹𝗲 𝗥𝗲𝗽𝗼𝗿𝘁👉 https://tinyurl.com/y3puuy94

Key Market Drivers

Technological Advancements: Continuous innovations have led to the development of more sensitive and accurate microplate luminometers. Modern devices offer enhanced detection capabilities, improved user interfaces, and integration with advanced software for data analysis, making them indispensable in research and clinical settings.

Expanding Applications in Drug Discovery: Microplate luminometers are crucial in high-throughput screening assays, facilitating the rapid identification of potential drug candidates. Their ability to provide precise and reproducible measurements accelerates the drug development process.

Rising Demand for Personalized Medicine: The shift towards personalized medicine necessitates detailed understanding of individual biological responses. Microplate luminometers aid in analyzing specific biomolecular interactions, thereby supporting the development of tailored therapeutic strategies.

Growth in Biotechnology and Pharmaceutical Industries: The expansion of these industries has increased the demand for advanced analytical instruments. Microplate luminometers are extensively used in quality control and research activities, ensuring product efficacy and safety.

Market Segmentation

The microplate luminometer market can be segmented based on type, assay type, application, end-user, and region.

By Type:

Single-mode Microplate Luminometers: Designed for specific luminescence measurements, offering high sensitivity for dedicated applications.

Multi-mode Microplate Luminometers: Versatile instruments capable of performing multiple detection modes, including fluorescence and absorbance, in addition to luminescence.

By Assay Type:

Glow-type Luminescence Assays: Characterized by a steady light emission, suitable for continuous monitoring.

Flash-type Luminescence Assays: Involve a rapid burst of light, requiring instruments with fast detection capabilities.

Glow and Flash-type Luminescence Assays: Combine features of both, offering flexibility for various experimental needs.

By Application:

Drug Discovery: Utilization in screening potential therapeutic compounds.

Chemical Kinetics: Studying reaction rates and mechanisms.

Quality Control and Toxicology: Ensuring product safety and compliance.

Bioassay Validation: Confirming the accuracy and reliability of biological assays.

By End User:

Research Laboratories: Academic and commercial labs conducting fundamental and applied research.

Academic and Research Institutions: Universities and institutes focusing on scientific studies.

Biotechnology and Biochemistry Companies: Firms engaged in biotech product development and biochemical analyses.

Food and Beverage Industries: Utilizing luminometers for contamination detection and quality assurance.

Regional Insights

North America: Holds a significant share of the microplate luminometer market, attributed to well-established biotechnology and pharmaceutical sectors, along with substantial investments in research and development.

Europe: Demonstrates steady growth due to the presence of prominent research institutions and a focus on technological advancements in life sciences.

Asia-Pacific: Expected to witness the fastest growth, driven by increasing healthcare expenditures, expanding pharmaceutical industries, and rising emphasis on research activities in countries like China and India.

Latin America and Middle East & Africa: These regions are gradually adopting advanced analytical instruments, with growth supported by improving healthcare infrastructure and increasing research initiatives.

Competitive Landscape

The microplate luminometer market is characterized by the presence of several key players focusing on product innovation, strategic collaborations, and geographic expansion to strengthen their market position. Notable companies include:

Promega Corporation: Offers a range of luminometers known for their sensitivity and versatility, catering to various research needs.

Tecan Trading AG: Provides advanced microplate readers with luminescence detection, emphasizing automation and high-throughput capabilities.

Berthold Technologies GmbH & Co. KG: Specializes in high-performance luminometers designed for both routine and specialized applications.

Thermo Fisher Scientific: Offers a diverse portfolio of microplate luminometers, integrating cutting-edge technology for enhanced performance.

Luminex Corporation: Focuses on developing innovative solutions for multiplexed assays, including luminescence-based detection systems.

Future Outlook

The microplate luminometer market is poised for continued growth, driven by ongoing technological advancements and expanding applications across various sectors. The increasing focus on personalized medicine and the need for high-throughput screening methods are expected to further propel market expansion. Manufacturers are likely to invest in research and development to introduce more sophisticated, user-friendly, and cost-effective instruments, catering to the evolving needs of end-users.

In conclusion, the microplate luminometer market presents a dynamic landscape with promising growth prospects. Stakeholders, including manufacturers, researchers, and investors, should closely monitor technological trends and application developments to capitalize on emerging opportunities in this field.

Read Full Report:-https://www.uniprismmarketresearch.com/verticals/healthcare/microplate-luminometer.html

[mariacallous]

For state-sponsored hacking operations, unpatched vulnerabilities are valuable ammunition. Intelligence agencies and militaries seize on hackable bugs when they're revealed—exploiting them to carry out their campaigns of espionage or cyberwar—or spend millions to dig up new ones or to buy them in secret from the hacker gray market.

But for the past two years, China has added another approach to obtaining information about those vulnerabilities: a law that simply demands that any network technology business operating in the country hand it over. When tech companies learn of a hackable flaw in their products, they’re now required to tell a Chinese government agency—which, in some cases, then shares that information with China's state-sponsored hackers, according to a new investigation. And some evidence suggests foreign firms with China-based operations are complying with the law, indirectly giving Chinese authorities hints about potential new ways to hack their own customers.

Today, the Atlantic Council released a report—whose findings the authors shared in advance with WIRED—that investigates the fallout of a Chinese law passed in 2021, designed to reform how companies and security researchers operating in China handle the discovery of security vulnerabilities in tech products. The law requires, among other things, that tech companies that discover or learn of a hackable flaw in their products must share information about it within two days with a Chinese agency known as the Ministry of Industry and Information Technology. The agency then adds the flaw to a database whose name translates from Mandarin as the Cybersecurity Threat and Vulnerability Information Sharing Platform but is often called by a simpler English name, the National Vulnerability Database.

The report’s authors combed through the Chinese government's own descriptions of that program to chart the complex path the vulnerability information then takes: The data is shared with several other government bodies, including China’s National Computer Network Emergency Response Technical Teams/Coordination Center, or CNCERT/CC, an agency devoted to defending Chinese networks. But the researchers found that CNCERT/CC makes its reports available to technology "partners" that include exactly the sort of Chinese organizations devoted not to fixing security vulnerabilities but to exploiting them. One such partner is the Beijing bureau of China's Ministry of State Security, the agency responsible for many of the country's most aggressive state-sponsored hacking operations in recent years, from spy campaigns to disruptive cyberattacks. And the vulnerability reports are also shared with Shanghai Jiaotong University and the security firm Beijing Topsec, both of which have a history of lending their cooperation to hacking campaigns carried out by China's People Liberation Army.

“As soon as the regulations were announced, it was apparent that this was going to become an issue,” says Dakota Cary, a researcher at the Atlantic Council's Global China Hub and one of the report’s authors. “Now we've been able to show that there is real overlap between the people operating this mandated reporting structure who have access to the vulnerabilities reported and the people carrying out offensive hacking operations.”

Given that patching vulnerabilities in technology products almost always takes far longer than the Chinese law’s two-day disclosure deadline, the Atlantic Council researchers argue that the law essentially puts any firm with China-based operations in an impossible position: Either leave China or give sensitive descriptions of vulnerabilities in the company’s products to a government that may well use that information for offensive hacking.

The researchers found, in fact, that some firms appear to be taking that second option. They point to a July 2022 document posted to the account of a research organization within the Ministry of Industry and Information Technologies on the Chinese-language social media service WeChat. The posted document lists members of the Vulnerability Information Sharing program that “passed examination,” possibly indicating that the listed companies complied with the law. The list, which happens to focus on industrial control system (or ICS) technology companies, includes six non-Chinese firms: Beckhoff, D-Link, KUKA, Omron, Phoenix Contact, and Schneider Electric.

WIRED asked all six firms if they are in fact complying with the law and sharing information about unpatched vulnerabilities in their products with the Chinese government. Only two, D-Link and Phoenix Contact, flatly denied giving information about unpatched vulnerabilities to Chinese authorities, though most of the others contended that they only offered relatively innocuous vulnerability information to the Chinese government and did so at the same time as giving that information to other countries’ governments or to their own customers.

The Atlantic Council report’s authors concede that the companies on the Ministry of Industry and Information Technology’s list aren’t likely handing over detailed vulnerability information that could immediately be used by Chinese state hackers. Coding a reliable “exploit,” a hacking software tool that takes advantage of a security vulnerability, is sometimes a long, difficult process, and the information about the vulnerability demanded by Chinese law isn’t necessarily detailed enough to immediately build such an exploit.

But the text of the law does require—somewhat vaguely—that companies provide the name, model number, and version of the affected product, as well as the vulnerability's “technical characteristics, threat, scope of impact, and so forth.” When the Atlantic Council report’s authors got access to the online portal for reporting hackable flaws, they found that it includes a required entry field for details of where in the code to “trigger” the vulnerability or a video that demonstrates “detailed proof of the vulnerability discovery process,” as well as a nonrequired entry field for uploading a proof-of-concept exploit to demonstrate the flaw. All of that is far more information about unpatched vulnerabilities than other governments typically demand or that companies generally share with their customers.

Even without those details or a proof-of-concept exploit, a mere description of a bug with the required level of specificity would provide a “lead” for China’s offensive hackers as they search for new vulnerabilities to exploit, says Kristin Del Rosso, the public sector chief technology officer at cybersecurity firm Sophos, who coauthored the Atlantic Council report. She argues the law could be providing those state-sponsored hackers with a significant head start in their race against companies’ efforts to patch and defend their systems. “It’s like a map that says, ‘Look here and start digging,’” says Del Rosso. “We have to be prepared for the potential weaponization of these vulnerabilities.”

If China’s law is in fact helping the country’s state-sponsored hackers gain a greater arsenal of hackable flaws, it could have serious geopolitical implications. US tensions with China over both the country’s cyberespionage and apparent preparations for disruptive cyberattack have peaked in recent months. In July, for instance, the Cybersecurity and Information Security Agency (CISA) and Microsoft revealed that Chinese hackers had somehow obtained a cryptographic key that allowed Chinese spies to access the email accounts of 25 organizations, including the State Department and the Department of Commerce. Microsoft, CISA, and the NSA all warned as well about a Chinese-origin hacking campaign that planted malware in electric grids in US states and Guam, perhaps to obtain the ability to cut off power to US military bases.

Even as those stakes rise, the Atlantic Council’s Cary says he’s had firsthand conversations with one Western tech firm on the Ministry of Industry and Information Technology’s list that directly told him it was complying with China’s vulnerability disclosure law. According to Cary, the lead executive for the Chinese arm of the company—which Cary declined to name—told him that complying with the law meant that it had been forced to submit information about unpatched vulnerabilities in its products to the Ministry of Industry and Information Technology. And when Cary spoke to another executive of the company outside of China, that executive wasn’t aware of the disclosure.

Cary suggests that a lack of awareness of vulnerability information shared with the Chinese government may be typical for foreign companies that operate in the country. “If it’s not on executives’ radar, they don’t go around asking if they’re in compliance with the law that China just implemented,” says Cary. “They only hear about it when they’re not in compliance.”

Of the six non-Chinese firms on the Ministry of Industry and Information Technology’s list of compliant ICS technology firms, Taiwan-based D-Link gave WIRED the most direct denial, responding in a statement from its chief information security officer for North America, William Brown, that it “has never provided undisclosed product security information to the Chinese government.”

German industrial control system tech firm Phoenix Contact also denied giving China vulnerability information, writing in a statement, “We make sure that potential new vulnerabilities are handled with utmost confidentiality and by no means get into the hands of potential cyber attackers and affiliated communities wherever they are located.”

Other companies on the list said that they do report vulnerability information to the Chinese government, but only the same information provided to other governments and to customers. Swedish industrial automation firm KUKA responded that it “fulfills legal local obligations in all countries, where we operate,” but wrote that it offers the same information to its customers, publishes known vulnerability information about its products on a public website, and will comply with a similar upcoming law in the EU that requires disclosing vulnerability information. Japanese technology company Omron similarly wrote that it gives vulnerability information to the Chinese government, CISA in the US, and the Japanese Computer Emergency Response Team, as well as publishing information about known vulnerabilities on its website.

German industrial automation firm Beckhoff spelled out a similar approach in more detail. “Legislation in several nations requires that any vendor selling products in their market must inform their authorized body about security vulnerabilities prior to their publication,” wrote Torsten Förder, the company’s head of product security. “General information about the vulnerability is disclosed as further research and mitigation strategies are developing. This enables us to notify all regulatory bodies quickly, while refraining from publishing comprehensive information on how to exploit the vulnerability under investigation.”

French electric utility technology firm Schneider Electric offered the most ambiguous response. The company’s head of product vulnerability management, Harish Shankar, wrote only that “cybersecurity is integral to Schneider Electric’s global business strategy and digital transformation journey” and referred WIRED to its Trust Charter as well as the cybersecurity support portal on its website, where it releases security notifications and mitigation and remediation tips.

Given those carefully worded and sometimes elliptical responses, it’s difficult to know to exactly what degree companies are complying with China’s vulnerability disclosure law—particularly given the relatively detailed description required on the government’s web portal for uploading vulnerability information. Ian Roos, a China-focused researcher at cybersecurity R&D firm Margin Research who reviewed the Atlantic Council report prior to publication, suggests that companies might be engaging in a kind of “malicious compliance,” sharing only partial or misleading information with Chinese authorities. And he notes that even if they are sharing solid vulnerability data, it may still not be specific enough to be immediately helpful to China’s state-sponsored hackers. “It’s very hard to go from ‘there's a bug here’ to actually leveraging and exploiting it, or even knowing if it can be leveraged in a way that would be useful,” Roos says.

The law is still troubling, Roos adds, since the Chinese government has the ability to impose serious consequences on companies that don’t share as much information as it would like, from hefty fines to revocation of business licenses necessary to operate in the country. “I don’t think it’s doomsday, but it’s very bad,” he says. “I think it absolutely does create a perverse incentive where now you have private organizations that need to basically expose themselves and their customers to the adversary.”

In fact, China-based staff of foreign companies may be complying with the vulnerability disclosure law more than executives outside of China even realize, says J. D. Work, a former US intelligence official who is now a professor at National Defense University College of Information and Cyberspace. (Work holds a position at the Atlantic Council, too, but wasn’t involved in Cary and Del Rosso’s research.) That disconnect isn’t just due to negligence or willful ignorance, Work adds. China-based staff might broadly interpret another law China passed last year focused on countering espionage as forbidding China-based executives of foreign firms from telling others at their own company about how they interact with the government, he says. “Firms may not fully understand changes in their own local offices’ behavior,” says Work, “because those local offices may not be permitted to talk to them about it, under pain of espionage charges.”

Sophos’ Del Rosso notes that even if companies operating in China are finding the wiggle room to avoid disclosing actual, hackable vulnerabilities in their products today, that’s still no guarantee that China won’t begin tightening its enforcement of the disclosure law in the future to close any loopholes.

“Even if people aren't complying—or if they are complying but only to a certain extent—it can only devolve and get worse,” says Del Rosso. “There’s no way they’re going to start asking for less information, or requiring less of people working there. They’ll never get softer. They’ll crack down more.”

[thetechpulsz]

Top 5 Machine Learning Trends Dominating 2025: From Ethics to Automation

Introduction

Machine learning (ML) continues to redefine industries, from healthcare to transportation, with 2025 poised to be a landmark year. As algorithms grow smarter and data becomes more abundant, businesses and researchers are prioritizing transparency, efficiency, and scalability. Drawing insights from leading reports and expert analyses, we’ve curated the top 5 machine learning trends set to dominate 2025. Let’s unpack what’s next in this fast-evolving field!

1. Ethical AI Takes Center Stage

The push for responsible AI is no longer optional. With concerns around bias, privacy, and accountability, organizations are adopting frameworks to ensure fairness and transparency. For example, explainable AI (XAI) is gaining traction, enabling users to understand how models make decisions, such as diagnosing diseases or approving loans. - Key Developments: - Regulatory bodies are enforcing stricter guidelines for algorithmic accountability. - Tools like bias detection algorithms and diverse training datasets are mitigating skewed outcomes in hiring and healthcare. - Companies like IBM and Microsoft are integrating ethical AI charters into their development cycles. 2. Edge Computing Meets Real-Time ML Traditional cloud-based ML struggles with latency, but edge computing solves this by processing data locally. This trend is critical for applications requiring split-second decisions, such as autonomous vehicles and medical diagnostics. - Why It Matters: - Reduces bandwidth costs and enhances privacy by minimizing data transfers. - Enables real-time analytics for smart cities, like optimizing traffic flow using IoT sensors. - NVIDIA’s edge AI platforms are empowering factories to predict equipment failures on-site. 3. AutoML and No-Code Democratization Machine learning is becoming accessible to non-experts through AutoML and no-code platforms. These tools automate tasks like model selection and feature engineering, enabling marketers and educators to build ML solutions without coding310. - Impact: - Startups like Graphite Note are enabling businesses to deploy predictive analytics in days, not months10. - Gartner predicts 70% of new apps will use low-code/no-code tools by 202510. - Example: Retailers use no-code platforms to forecast demand and personalize marketing campaigns11. 4. Federated Learning for Privacy-Preserving ML With data privacy regulations tightening, federated learning allows models to train on decentralized data without compromising sensitive information. This approach is revolutionizing healthcare and finance, where data security is paramount210. - Applications: - Hospitals collaborate on AI-driven drug discovery without sharing patient records2. - Google’s Gboard uses federated learning to improve keyboard predictions while keeping user data local10. - Combines with edge computing for faster, secure insights in smart cities5. 5. Industry-Specific ML Solutions Generic ML models are giving way to verticalized solutions tailored to niche sectors. For instance: - Healthcare: ML algorithms analyze medical images to detect tumors with 95% accuracy. - Agriculture: Farmers use ML-powered drones to monitor crop health and predict yields. - Retail: Tools like Amazon’s Titan models create AI-driven fashion assistants for personalized shopping. Bonus Trends to Watch - MLOps: Streamlining model deployment with automated monitoring and retraining. - Hybrid AI: Merging neural networks with symbolic reasoning for advanced legal and financial analytics. - Generative AI: Custom models for content creation, like ChatGPT-5 crafting marketing copy. Conclusion 2025 is a year of actionable innovation for machine learning. Whether it’s ensuring ethical practices, democratizing tools, or enabling real-time decisions, these trends underscore ML’s role as a catalyst for progress. For businesses, staying competitive means embracing these advancements—responsibly and strategically. Pro Tip: Upskill with courses like DataSpace Academy’s ML certification to ride this wave. Also Read: Quantum Computing Explained: How It Could Solve Problems Classical Computers Never Will Read the full article

[pepminn]

Sejda Online PDF Editor: Edit & Manage PDFs with Sejda Online

Every company has a lot of documentation supporting its activities. If various PDF documents are processed correctly, work efficiency increases significantly. However, many companies have difficulties with such software since it is slow to install, provides almost no free functionality, and costs a lot to subscribe.

Here comes the Sejda Online PDF Editor. Businesses can easily edit, merge, reduce file sizes, and protect clients’ documents using this ultimate one-stop tool without overcoming problems like downloading or setting configurations.

However, how can businesses know that they are making the right choice? This is where Zoftware comes into play. It is a reliable platform for B2B discovery, helping users analyze different options to make the right decision about implementing offered services or products on the market.

Sejda Online PDF Editor provides simple yet effective document flow facilitation features that business organizations can use to achieve this goal.

Effortless Editing with Sejda Online PDF Editor

Usually, PDF editors are known for heavy download fees, subscriptions, or intricate licenses. Sejda Online PDF Editor removes these obstacles. It can operate on any web browser and enables businesses to edit PDF files without installing software.

Want to change some content before you send it? With Sejda Online PDF Editor, you can add new content, cross out phrases, and change everything in a moment—even pictures! Business owners may also find it helpful since this program can add signatures, which simplifies working with contracts. Editing is fast and smooth without any additional instruments or interruptions.

Merge, Split, and Organize Documents Easily

Dealing with many PDFs can be very confusing. Sejda Online PDF Editor has intelligent functions that make it easy to manage files by combining, separating, or changing the positions of pages in a document.

Using this software, businesses can easily merge different PDF documents into one file instead of going through every file and making copies of information separately. In addition, users can divide bulky files or remove pages safely because it does not interfere with the initial layout. With such attributes, it becomes easier for businesses to maintain document order, lessening tedious work.

Compress PDFs Without Losing Quality

Large PDF files can make it difficult to send emails or store data on the cloud fast. Sejda Online PDF Editor is here to help as it has a solution for this issue through its state-of-the-art compression functionalities that enable decreasing the sizes while maintaining high resolution of text and pictures.

Companies often must distribute reports, proposals, or presentations without surpassing the email size constraints. By ensuring that documents remain light in weight but very clear, Sejda’s compression tool enhances easy information sharing.

Secure & Protect Sensitive Information

Companies dealing with multiple contracts, invoices, and records must keep their information secret. Sejda Online PDF Editor provides features like password encryption, a word blackout tool, and safe file systems to enhance document security.

Users can add passwords to restrict access or redact sensitive details before sharing files. Sejda operates through secure servers, ensuring this is sustained even during editing phases. By doing so, business enterprises can completely own data while maintaining high-security levels.

Convert PDFs to Various Formats

It is a frustrating experience trying to change PDFs on your own. Sejda Online PDF Editor facilitates this by supporting conversion between PDF and Word, Excel, and JPG.

In many cases, companies must copy data from charts to Excel or modify information so that it can be edited. Conversion tools in Sejda guarantee that documents are accessible on various operating systems, thereby minimizing the need to change the layout.

Conclusion

It should not take too much effort to handle PDFs. A straightforward way of changing and controlling PDFs for enhanced productivity that is also safe and easy is what Sejda Online PDF Editor offers to all types of enterprises.

Zoftware is ideal for those who want to use the Sejda Online PDF Editor in their systems. Zoftware is an online platform where businesses can quickly discover, compare, and evaluate various software solutions. The software selection becomes easier with Zoftware, which has over 700 categories and 7,000+ software solutions. It provides software implementation support, IT staffing solutions, and Managed Services so that everything works together, including the hiring process.

Businesses need intelligent, uncomplicated instruments to increase efficiency. Effortlessly manage documents using Sejda Online PDF Editor. Start by finding the right software for your business at Zoftware today. Explore Sejda Online PDF Editor.

[pharmaconferenceandexpo]

Breaking Boundaries: How Digital Transformation is Reshaping Pharma in 2025

Introduction

The pharmaceutical industry is undergoing a seismic shift, driven by digital transformation. With emerging technologies redefining drug discovery, clinical trials, manufacturing, and patient engagement, 2025 is proving to be a pivotal year for innovation in pharma. Companies that embrace digital tools are gaining a competitive edge by enhancing efficiency, reducing costs, and delivering better healthcare outcomes. In this blog, we explore how digital transformation is breaking boundaries in the pharmaceutical sector and reshaping the future of medicine.

The Benefits of Digital Transformation in Pharma

1. Accelerated Drug Discovery and Development

Artificial Intelligence (AI) and machine learning are expediting drug discovery by analyzing vast datasets, identifying promising compounds, and predicting potential drug interactions. Advanced computational models help researchers reduce the time and cost associated with developing new treatments, bringing life-saving medicines to market faster.

2. Enhanced Clinical Trials

Traditional clinical trials are often lengthy and expensive. Digital tools such as decentralized trials, wearable health devices, and real-time patient monitoring are streamlining the process. AI-driven recruitment strategies help identify the right candidates faster, reducing drop-out rates and improving trial efficiency.

3. Personalized Medicine and Precision Therapies

Big data analytics and genomics are enabling personalized medicine by tailoring treatments based on a patient’s genetic makeup. Digital platforms provide real-time insights into patient responses, allowing physicians to adjust therapies for better efficacy and fewer side effects.

4. Improved Supply Chain and Manufacturing

The integration of blockchain and IoT in supply chain management ensures transparency, traceability, and efficiency. Smart manufacturing technologies, such as robotic automation and digital twins, are reducing errors and optimizing pharmaceutical production, minimizing waste and ensuring regulatory compliance.

5. Better Patient Engagement and Telehealth Solutions

Digital transformation is bridging the gap between healthcare providers and patients. Mobile apps, AI-driven chatbots, and telemedicine platforms are enhancing patient engagement, providing instant access to medical advice, and improving medication adherence. Remote healthcare solutions are making treatments more accessible, especially in underserved areas.

Key Trends Driving Digital Transformation in Pharma

AI & Machine Learning: Enhancing research, drug discovery, and patient care.

Blockchain Technology: Ensuring data security, integrity, and transparency in pharma supply chains.

IoT & Wearable Tech: Enabling real-time patient monitoring and data collection.

Cloud Computing & Big Data: Facilitating collaboration, data analysis, and regulatory compliance.

Digital Twins in Pharma: Simulating drug interactions and manufacturing processes for optimization.

Cybersecurity Measures: Protecting sensitive patient and research data against cyber threats.

The Future of Pharma: A Digital-First Approach

The pharmaceutical industry is no longer just about developing drugs—it’s about leveraging technology to provide holistic healthcare solutions. Companies investing in digital transformation are not only improving operational efficiency but also revolutionizing patient outcomes. The integration of AI, big data, IoT, and blockchain is setting the stage for a smarter, more connected healthcare ecosystem.

Conclusion

As we move further into 2025, digital transformation is no longer optional—it’s imperative. Pharma companies that harness the power of AI, IoT, blockchain, and data analytics will lead the industry forward, breaking boundaries and redefining patient care. Are you ready to be part of the future of pharma? Join us at the 15th Digital Pharmaceutical Innovations Exhibition & Congress to explore the latest innovations shaping the industry.

Register here: https://pharmacy.utilitarianconferences.com/registration

Hashtags

#DigitalPharma #PharmaTech #AIinHealthcare #DrugDiscovery #ClinicalTrials #HealthcareInnovation #Pharma2025 #BlockchainInPharma #Telehealth #PatientCare #PharmaceuticalIndustry #FutureOfPharma

Website: https://utilitarianconferences.com/

Twitter: @UCGConferences linked in: https://www.linkedin.com/feed/

To know more abouts topics:- https://youtu.be/qHB0286VJSI?si=rGRqgamVnV7ZNkyT

[sis-certifications]

Singulr AI Launches to Help Enterprises Take Control of the AI Surge

 Startup secures $10M in Funding to Streamline and Secure Enterprise AI Use at Scale

February 18, 2025 08:00 AM Eastern Standard Time

PALO ALTO, Calif.--(BUSINESS WIRE)--Singulr AI launched today with the general availability of its enterprise AI governance and security platform, already deployed across companies in the technology, finance, and healthcare sectors. The startup also announced $10 million in seed financing led by Nexus Venture Partners and Dell Technologies Capital, with participation from leading industry executives.

“The Singulr team has a proven track record of taking on enterprise challenges at Arkin and VMware and are well-equipped to do so again.”

Post this

The enterprise AI surge is real. In live customer environments, Singulr consistently discovers 500+ unique AI services and models in use, with many of them redundant. Over three out of four employees use unapproved “Shadow AI” tools, often linked to personal accounts that expose enterprise IP. This dynamic threat will force organizations to balance rapid AI deployment against security risks and rising costs. Further, the rise of agentic AI increases complexity, making enterprise-grade governance essential for scaling AI operations.

Singulr helps customers get ahead and stay ahead of AI adoption with:

Continuous discovery of all AI-in-use, including homegrown LLM applications and agents, public AI services, and embedded AI in SaaS applications, along with deep contextual insights into application settings, user activity, and sensitive data exposure in prompts or uploaded files.

Rapid AI onboarding with automated risk scoring of AI services and models so that teams can quickly vet and approve new requests, unsanctioned use, or changes in models, dataset, or applications.

Continuous AI-powered protection using context-aware policies and enforcement that allows organizations to permit, restrict, warn, redact, and trigger security tickets and workflows.

Using a single platform, CIO and IT operations teams can rationalize their AI service inventory and reduce unnecessary spend, while CISO and risk teams can streamline the onboarding of safe AI use cases while implementing granular policies to prevent data leakage and shadow AI.

“Companies are experiencing explosive growth in AI adoption across employees, partners, and vendors – but this surge comes with mounting security risks and costs,” said Shiv Agarwal, CEO and Co-founder of Singulr. “Through our extensive market research, we recognized that the broad use of generative AI technology is a complex problem needing an enterprise-grade solution to scale and secure. We started Singulr to help enterprises rapidly adopt and operationalize powerful new AI technologies while managing costs and minimizing risk.”

Founders Shiv Agarwal and Abhijit Sharma, who previously built Arkin Net (acquired by VMware), reunited the team to build Singulr. In just one year, they have gone from a concept to a generally available solution that integrates seamlessly into enterprise environments without requiring infrastructure changes. Singulr is launching with SOC 2 and ISO 27001 compliance, ensuring enterprise-grade security and trust.

“AI is transforming business with a new technology stack, evolving usage patterns, and unprecedented risks—forcing companies to rethink how they do security and governance,” said Jishnu Bhattacharjee, Managing Director at Nexus Venture Partners. “The Singulr team has a proven track record of solving complex, enterprise-scale problems and is launching a proven solution that enables businesses to efficiently and safely harness AI’s potential. I’m excited to partner with Shiv and the team again as they establish Singulr as the category leader.”

“This is the year the enterprise moves from experimenting with AI to leveraging its potential for pivotal business challenges. However, this adoption brings complex operational and security challenges requiring a systems approach—from developer experience to endpoint defense,” said Raman Khanna, managing director at Dell Technologies Capital. “The Singulr team has a proven track record of taking on enterprise challenges at Arkin and VMware and are well-equipped to do so again.”

Companies interested in safe and cost-effective AI use can request a sample Instant AI Audit report or an AI Audit assessment at https://singulr.ai/sample-report.

About Singulr AI

Singulr AI is an enterprise AI governance and security platform that helps streamline and secure enterprise AI use at scale. Security, IT, and AI teams can now accelerate AI-driven innovation while reducing business risks and unnecessary costs from data leakage, shadow AI, and AI sprawl. For more information, visit https://www.singulr.ai.

source - https://www.businesswire.com/news/home/20250218711276/en/Singulr-AI-Launches-to-Help-Enterprises-Take-Control-of-the-AI-Surge

[researchfirm]

Sensitive Data Discovery Market Research Report, Size, Share, Trends, Growth

In the Global Sensitive Data Discovery Market Research Report published by Emergen Research, key business details are analyzed along with a geographical overview of the Sensitive Data Discovery industry, which provides extensive analysis of this sector. This study provides a comprehensive look at the Sensitive Data Discovery market from both a qualitative and quantitative perspective as well as crucial statistical information about the market. As of 2024, the research study provides historical data and offers forecasts up to 2032. Furthermore, the report describes emerging and established players of the market, providing an overview of their business, their product portfolio, their strategic alliances, and their plans for expansion.

The global sensitive data discovery market size is expected to reach USD 15.75 Billion in 2028 and register a robust revenue CAGR over the forecast period, according to latest analysis by Emergen Research. Market revenue growth is driven by factors such as rising adoption of cloud-based sensitive data discovery solutions and rising awareness regarding data security in various sectors such as IT and telecommunication, BFSI, government, healthcare, and others. Data discovery is a process of searching and identifying sensitive data to save or securely remove any sort of compromising information. Continuous generation of new data on a daily basis by various organizations is boosting demand for sensitive data discovery solutions across the globe.

Get a sample of the report @ https://www.emergenresearch.com/request-sample/611

Market Dynamics:

The report offers insightful information about the market dynamics of the Sensitive Data Discovery market. It offers SWOT analysis, PESTEL analysis, and Porter’s Five Forces analysis to present a better understanding of the Sensitive Data Discovery market, competitive landscape, factors affecting it, and to predict the growth of the industry. It also offers the impact of various market factors along with the effects of the regulatory framework on the growth of the Sensitive Data Discovery market.

Radical Highlights of the Sensitive Data Discovery Market Report:

Comprehensive overview of the Sensitive Data Discovery market along with analysis of the changing dynamics of the market

Growth Assessment of various market segments throughout the forecast period

Regional and global analysis of the market players, including their market share and global position

Growth strategies adopted by key market players to combat the impact of the COVID-19 pandemic on the market

Impact of the technological developments and R&D advancements on the Sensitive Data Discovery market

Information about profit-making strategies and developmental strategies of major companies and manufacturers

Insightful information for the new entrants willing to enter the market

Details and insights about business expansion strategies, product launches, and other collaborations

The report incorporates advanced analytical tools such as SWOT analysis, Porter’s Five Forces Analysis, feasibility analysis, and investment return analysis

Competitive Landscape:

Furthermore, the report includes an in-depth analysis of the competitive landscape. The segment covers a comprehensive overview of the company profiles along with product profiles, production capacities, products/services, pricing analysis, profit margins, and manufacturing process developments. The report also covers strategic business measures undertaken by the companies to gain substantial market share. The report provides insightful information about recent mergers and acquisitions, product launches, collaborations, joint ventures, partnerships, agreements, and government deals.

Key Companies Profiled in the Report:

IBM, Microsoft, Oracle, AWS, Proofpoint, Inc., Google, SolarWinds, Micro Focus, PKWARE, Inc. and Thales

To know more about the report, visit @ https://www.emergenresearch.com/industry-report/sensitive-data-discovery-market

Sensitive Data Discovery Market Segmentation:

Component Outlook (Revenue: USD Billion; 2018–2028)

Solution

Service

Managed Services

Professional Services

Organization Size Outlook (Revenue: USD Billion; 2018–2028)

Small and Medium-sized Enterprises

Large Enterprises

Deployment Mode Outlook (Revenue: USD Billion; 2018-2028)

On-premises

Cloud

Private Cloud

Public Cloud

Hybrid Cloud

Regional Segmentation;

North America (U.S., Canada)

Europe (U.K., Italy, Germany, France, Rest of EU)

Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)

Latin America (Chile, Brazil, Argentina, Rest of Latin America)

Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)

Look Over transcripts provided by Emergen Research

Laparoscopy and Endoscopy Devices Market

PEEK Market

Veterinary Vaccines Market

occlusion devices market

Clinical Biomarker Market

Thank you for reading the report. The report can be customized as per the requirements of the clients. For further information or query about customization, please reach out to us, and we will offer you the report best suited for your needs.

About Us:

Emergen Research is a market research and consulting company that provides syndicated research reports, customized research reports, and consulting services. Our solutions purely focus on your purpose to locate, target, and analyse consumer behavior shifts across demographics, across industries, and help clients make smarter business decisions. We offer market intelligence studies ensuring relevant and fact-based research across multiple industries, including Healthcare, Touch Points, Chemicals, Types, and Energy. We consistently update our research offerings to ensure our clients are aware of the latest trends existent in the market. Emergen Research has a strong base of experienced analysts from varied areas of expertise. Our industry experience and ability to develop a concrete solution to any research problems provides our clients with the ability to secure an edge over their respective competitors.

[ayushkolhe]

Flow Cytometry Market Product Launch: A New Era for Advanced Cellular Analysis and Diagnostics

The flow cytometry market is set to experience a significant boost with the latest product launch that promises to revolutionize the field of cell analysis. Flow cytometry, a technique widely used for analyzing and sorting cells, has been indispensable in research, diagnostics, and clinical applications for decades. With the market’s rapid growth, this product launch is poised to bring cutting-edge advancements, making processes more efficient, cost-effective, and accessible for labs and healthcare institutions across the globe.

Advancements in Flow Cytometry Technology

Flow cytometry involves the measurement of physical and chemical characteristics of cells as they flow in a stream of fluid through a laser or other light source. Traditionally, flow cytometry instruments were complex, expensive, and often required specialized operators. However, the latest advancements in technology have paved the way for more user-friendly, automated systems that offer faster and more accurate results.

The new product entering the market builds upon these advancements. With enhanced detection sensitivity, improved multi-parameter capabilities, and the ability to handle larger sample volumes, this new system is designed to streamline workflows in research labs, clinical diagnostics, and drug discovery. These features offer greater precision in identifying and sorting different types of cells, such as immune cells, stem cells, and cancer cells, making the technology even more invaluable to medical researchers and healthcare professionals.

Growing Demand for Flow Cytometry in Clinical Applications

The clinical applications of flow cytometry are vast and continue to expand as new diagnostic and treatment options emerge. The rise of personalized medicine has driven the demand for advanced tools capable of conducting detailed, high-throughput analysis of patient samples. With the launch of this new product, medical professionals will have access to more robust diagnostic tools, enabling the detection of rare cells, such as circulating tumor cells (CTCs), or monitoring immune cell populations in response to treatment.

In addition, the new flow cytometry product is expected to enhance applications in immunology, hematology, oncology, and drug development. For instance, cancer immunotherapy has become one of the most promising areas of treatment, and flow cytometry plays a crucial role in tracking the efficacy of these treatments. With better technology, oncologists and researchers will be able to gain deeper insights into how treatments are affecting patients at the cellular level.

Cost-Effectiveness and Accessibility

One of the key benefits of this product launch is its cost-effectiveness. Traditionally, high-end flow cytometers could cost hundreds of thousands of dollars, limiting their accessibility to large research institutions and hospitals. However, the new product is designed to be more affordable, enabling smaller labs and clinics to adopt the technology without compromising on quality. This democratization of flow cytometry will lead to more widespread use, fostering innovation in various fields, from basic research to clinical diagnostics.

Moreover, the accessibility of this new flow cytometry system extends beyond affordability. The product is designed with intuitive software and automated processes that minimize the need for specialized training. This allows users to focus on results rather than technical complexities, making it easier for research teams to incorporate flow cytometry into their daily operations.

Impact on Drug Discovery and Development

The drug discovery process involves identifying new compounds, screening for efficacy, and understanding how a drug interacts with cells. Flow cytometry plays a pivotal role in drug development by providing real-time data on cellular interactions. The new product is expected to accelerate drug development by offering enhanced capabilities in multi-parameter analysis, which is vital for profiling drug responses at the cellular level.

In preclinical and clinical trials, researchers can use this technology to monitor cell behavior under various conditions, providing insights into how different drugs may affect immune responses, tumor growth, and cellular viability. Faster and more accurate data means that drug developers can bring new therapies to market quicker, improving patient outcomes.

Conclusion

The latest product launch in the flow cytometry market marks a major milestone in the evolution of cell analysis technology. With enhanced features, greater accessibility, and cost-effective solutions, this innovation is set to change the landscape of research, diagnostics, and drug development. Researchers, clinicians, and pharmaceutical companies alike will benefit from these advancements, opening new doors to personalized medicine and more precise treatments for a variety of conditions.