#AIsecurity

[mark-matos]

The Risks of ChatGPT Hacking: A Growing Concern in AI Security

As AI systems like ChatGPT become more widespread, security concerns emerge. Researchers like Alex Polyakov of Adversa AI are finding ways to "jailbreak" these systems, bypassing safety rules and potentially causing havoc across the web. With AI models being implemented at scale, it's vital to understand the possible dangers and take preventive measures.

Polyakov managed to bypass OpenAI's safety systems by crafting prompts that encouraged GPT-4 to produce harmful content. This highlights the potential risks of AI systems being manipulated to produce malicious or illegal content. As AI becomes more ingrained in our everyday lives, it's essential to consider the ethical implications and security challenges they present.

One significant concern is the possibility of prompt injection attacks. These can silently insert malicious data or instructions into AI models, with potentially disastrous consequences. Arvind Narayanan, a computer science professor at Princeton University, warns of the potential for AI-based personal assistants to be exploited, resulting in widespread security breaches.

AI personal assistants have become a popular technology in recent years, offering users the ability to automate tasks and access information quickly and easily. However, as with any technology, there is a risk of exploitation. If an AI personal assistant is not properly secured, it could potentially be hacked or used to gather personal information without the user's consent. Additionally, there is the risk of cybercriminals using AI assistants to launch attacks, such as phishing attempts or malware installation. To prevent exploitation, it is important for developers to implement strong security measures when creating AI personal assistants. This includes encrypting data, limiting access to sensitive information, and regularly updating security protocols. Users can also take steps to protect their personal information, such as using strong passwords and being cautious of suspicious messages or requests. Overall, while AI personal assistants offer many benefits, it is important to be aware of the potential risks and take appropriate precautions to prevent exploitation.

To protect against these threats, researchers and developers must prioritize security in AI systems. Regular updates and constant vigilance against jailbreaks are essential. AI systems must also be designed with a strong ethical framework to minimize the potential for misuse.

As we embrace the benefits of AI technology, let's not forget the potential risks and work together to ensure a safe and secure AI-driven future.

About Mark Matos

Mark Matos Blog

[govindhtech]

AIxCC, To Protect Nation’s Most Important Software

DARPA AI cyber challenge

Among the most obvious advantages of artificial intelligence (AI) is its capacity to improve cybersecurity for businesses and global internet users. This is particularly true since malicious actors are still focussing on and taking advantage of vital software and systems. These dynamics will change as  artificial intelligence develops, and if used properly,  AI may help move the sector towards a more secure architecture for the digital age.

Experience also teaches us that, in order to get there, there must be strong public-private sector partnerships and innovative possibilities such as DARPA’s AI Cyber Challenge (AIxCC) Semifinal Competition event, which will take place from August 8–11 at DEF CON 32 in Las Vegas. Researchers in cybersecurity and AI get together for this two-year challenge to create new AI tools that will aid in the security of significant open-source projects.

This competition is the first iteration of the challenge that DARPA AIxCC unveiled at Black Hat last year. Following the White House’s voluntary AI commitments, which saw business and government unite to promote ethical methods in AI development and application, is the Semifinal Competition. Today, we’re going to discuss how Google is assisting rivals in the AIxCC:

Google  Cloud resources: Up to $1 million in Google Cloud credits will be awarded by Google to each qualifying AIxCC team, in an effort to position rivals for success. The credits can be redeemed by participants for Gemini and other qualified Google Cloud services. As a result, during the challenge, competitors will have access to Google Cloud AI and machine learning models, which they can utilise and expand upon for a variety of purposes. Google is urge participants to benefit from Google incentive schemes, such as the Google for firms Program, which reimburses up to $350,000 in Google Cloud expenses for AI firms.

Experts in cybersecurity: For years, Google has been in the forefront of utilising AI in security, whether it is for sophisticated threat detection or shielding Gmail users from phishing scams. Google excited to share knowledge with AIxCC by making security specialists available throughout the challenge, they have witnessed the promise of AI for security. Google security specialists will be available to offer guidance on infrastructure and projects as well as assist in creating the standards by which competitors will be judged. Specifically, Google discuss recommended approaches to AIxCC in Google tutorial on how AI may improve Google’s open source OSS-Fuzz technology.

Experience AIxCC at DEF CON: We’ll be showcasing Google’s AI technology next week at the AIxCC Semifinal Experience at DEF CON, complete with an AI-focused hacker demo and interactive demonstrations. In order to demonstrate AI technologies, which includes Google Security Operations and SecLM, Google will also have Chromebooks at the Google exhibit. Google security specialists will be available to guests to engage in technical conversations and impart information.

AI Cyber Challenge DARPA

At Black Hat USA 2023, DARPA invited top computer scientists,  AI experts, software engineers, and others to attend the AI Cyber Challenge (AIxCC). The two-year challenge encourages AI-cybersecurity innovation to create new tools.

Software powers everything in Google ever-connected society, from public utilities to financial institutions. Software increases productivity and makes life easier for people nowadays, but it also gives bad actors a larger area to attack.

This surface includes vital infrastructure, which is particularly susceptible to cyberattacks, according to DARPA specialists, because there aren’t enough technologies to adequately secure systems on a large scale. Cyber defenders face a formidable attack surface, which has been evident in recent years as malevolent cyber actors take advantage of this state of affairs to pose risks to society. Notwithstanding these weaknesses, contemporary technological advancements might offer a way around them.

AIxCC DARPA

According to Perri Adams, DARPA’s AIxCC program manager, “AIxCC represents a first-of-its-kind collaboration between top AI companies, led by DARPA to create AI-driven systems to help address one of society’s biggest issue: cybersecurity.” Over the past decade, exciting AI-enabled capabilities have emerged. DARPA see a lot of potential for this technology to be used to important cybersecurity challenges when handled appropriately. DARPA can have the most influence on cybersecurity in the nation and the world by automatically safeguarding essential software at scale.Image credit to DARPA

Participation at AIxCC will be available on two tracks: the Funded Track and the Open Track. Competitors in the Funded Track will be chosen from submissions made in response to a request for proposals for Small Business Innovation Research. Funding for up to seven small enterprises to take part will be provided. Through the competition website, Open Track contestants will register with DARPA; they will not receive funds from DARPA.

During the semifinal phase, teams on all tracks will compete in a qualifying event where the best scoring teams (up to 20) will be invited to the semifinal tournament. The top five scoring teams from these will advance to the competition’s final stage and win cash prizes. Additional cash awards will be given to the top three contestants in the final competition.

DARPA AIxCC

Leading AI businesses come together at DARPA AIxCC, where they will collaborate with DARPA to make their state-of-the-art technology and knowledge available to rivals. DARPA will work with Anthropic, Google, Microsoft, and Open AI to allow rivals to create cutting-edge a cybersecurity solutions.

As part of the Linux Foundation, the Open Source Security Foundation (OpenSSF) will act as a challenge advisor to help teams develop AI systems that can tackle important cybersecurity problems, like the safety of a crucial infrastructure and software supply chains. The majority of software, and therefore the majority of the code that requires security, is open-source and frequently created by volunteers in the community. Approximately 80% of contemporary software stacks, which include everything from phones and cars to electricity grids, manufacturing facilities, etc., use open-source software, according to the Linux Foundation.

Lastly, there will be AIxCC competitions at DEF CON and additional events at Black Hat USA. These two globally renowned cybersecurity conferences bring tens of thousands of practitioners, experts, and fans to Las Vegas every August. There will be two stages of AIxCC: the semifinal stage and the final stage. DEF CON in Las Vegas will hold 2024 and 2025 semifinals and finals.

DEF CON 32’s AI Village

Google will keep supporting the  AI Village at DEF CON, which informs attendees about security and privacy concerns related to AI, in addition to work with the AIxCC. In addition to giving the Village a $10,000 donation this year, Google will be giving workshop participants Pixel books so they can acquire practical experience with the nexus of cybersecurity and AI. After a successful red teaming event in which Google participated and security experts worked on AI security concerns, the AI Village is back this year.

Google excited to see what fresh ideas emerge from the AIxCC Semifinal Competition and to discuss how they may be used to safeguard the software that Google all use. Meanwhile, the Secure AI Framework and the recently established Coalition for Secure AI provide additional information about their efforts in the field of AI security.

Read more on govindhtech.com

[impact-newswire]

Protect AI Selected Top Cyber Company in 2024 Enterprise Security Tech Awards - The leading artificial intelligence (AI)

@ProtectAI

[ymaprotech]

HONOR Magic6 Pro:- Everything You Need To Know About HONOR's AI-Powered Phone || YMA PRO TECH

HONOR, the leading global technology brand, has recently unveiled its latest cutting-edge smartphone, powered by advanced artificial intelligence (AI) capabilities. With this AI-powered phone, HONOR aims to revolutionize the way we interact with our devices and redefine the mobile experience.

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[thxnews]

UK Doubles Down on Cyber Defenses with Skills Push

During a keynote address at the CyberUK 2024 conference in Birmingham, Tech Minister Saqib Bhatti unveiled the UK government's latest initiatives to fortify the nation's cyber resilience and defend against mounting digital threats. The multi-faceted strategy involves leveraging cutting-edge technologies like AI, instituting stringent security codes for software vendors and developers, and building a world-class cyber workforce through professional certifications and skills training. Addressing one of the core cybersecurity challenges, Bhatti emphasized the government's "secure by design" approach to ensure new technologies have security embedded from the ground up. He cited recent consumer IoT device laws that mandate robust default passwords, stated vulnerability disclosure policies, and minimum update periods as an example of UK leadership driving global tech policy.  

Ethical-ai graphics. Artwork by i-Pro.  

New Codes to Govern Software and AI Security

Two new codes of practice published on gov.uk today double down on this security-first philosophy: The Software Vendor Code sets principles for secure software development lifecycles, controlled build environments, secure deployment practices, and transparent communication through supply chains - aiming to prevent repeats of attacks like those crippling the BBC, British Airways and NHS systems. The AI Cyber Security Code provides guardrails for developing AI applications resilient against hacking, tampering or manipulation, forming the basis for an international standard built on NCSC guidelines.   "Getting this right is crucial for the future security and resilience of our tech ecosystem," Bhatti stressed. "We're really keen to have industry feedback on strengthening these codes."   Credentials and Skills to Raise the Bar Beyond technical baselines, the Minister outlined strategic levers to improve Britain's overall cyber posture through upskilling the workforce and mandating security standards. Highlighting new statistics showing Cyber Essentials-certified firms face 92% fewer cyber insurance claims, he bluntly stated "Cyber Essentials works" and called for mass adoption of the scheme's risk-reducing practices.  

Cyber Suffragettes at Pankhurst Centre Zebra Hub Wiki Edit a thon. Photo by Wiki Zebra Carol. Wikimedia.  

Standardizing the Cyber Workforce

On the human capital front, a new "professional titles" program developed jointly with the UK Cyber Security Council will provide portable, recognized accreditation defining clear career pathways and competencies for cybersecurity practitioners. A public statement published alongside Bhatti's speech formalizes commitments from government bodies, regulators and techUK members to incorporate these professional certifications into hiring and workforce development by 2025.   Scaling Up Youth Cyber Training Bhatti also revealed plans to significantly expand the successful CyberFirst program which has already reached over 260,000 students across 2,500 UK schools since 2016 with hands-on cybersecurity skills training. The forthcoming public consultation will explore options like spinning off delivery into a new independent organization dedicated to rapidly growing the initiative's impact as a talent pipeline for the field.  

Coordinated Economic Defense

Underscoring the collaborative "whole-of-nation" approach mandated by the National Cyber Strategy, the Minister highlighted parallel efforts raising baseline security requirements across all sectors through regulatory updates, public-private partnerships and coordinated risk management. "The cyber threat isn't just hitting our national security - it's impacting our entire economy," Bhatti warned bluntly. "These malicious actors cannot be allowed to prevail. By working hand-in-glove with our industry partners, we will ensure Britain's economy remains secure, resilient and fit for Cloud Age innovation."   This includes the looming expansion of the NIS Regulations to cover managed services providers, continued collaboration between tech firms and U.K. cyber authorities like NCSC and NCSC-certified penetration testing under the evolving CBEST framework. Cooperation with financial regulators and the Bank of England on sector-specific resilience efforts is also increasing.  

Royal Anglian Regiment Parade observed by Stephen McPartland MP. Photo by Peter O'Connor. Flickr.  

Nurturing the UK's Cybersecurity Powerhouse

With the cybersecurity industry now viewed as an engine for economic growth, the government aims to nurture the UK's burgeoning £11.9 billion cyber sector which already employs over 60,000 nationwide according to new figures. An upcoming independent review by MP Stephen McPartland will further detail how proactive cyber policies can drive job creation, investment and innovation across the nation's digital economy. As cyber threats proliferate from individual hackers to hostile nation-states, the UK is rapidly building a comprehensive defensive posture spanning technology, policy, workforce development and lockstep public-private coordination. People and businesses are encouraged to monitor the National Cyber Security Centre for the latest guidance as these new resilience initiatives take shape.   Sources: THX News, Department for Science, Innovation and Technology, National Cyber Security Centre, FCA, House of Commons Library, Bank of England & Saqib Bhatti MP. Read the full article

[scopethings-blog]

Scope Computers

Artificial Intelligence (Join Now) Contact us: 88560000535

Artificial intelligence (AI) refers to the simulation of human intelligence processes by computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions), and self-correction. AI encompasses various subfields such as machine learning, natural language processing, computer vision, robotics, and expert systems.

Machine learning, a subset of AI, focuses on the development of algorithms that enable computers to learn from and make predictions or decisions based on data. Natural language processing (NLP) involves the interaction between computers and humans using natural language. Computer vision deals with enabling computers to interpret and understand the visual world, often through image or video analysis. Robotics combines AI with mechanical engineering to create intelligent machines capable of performing tasks autonomously.

AI systems can be classified as either narrow AI or general AI. Narrow AI, also known as weak AI, is designed to perform a narrow task, such as facial recognition or language translation. General AI, also referred to as strong AI or artificial general intelligence (AGI), would have the ability to understand, learn, and apply knowledge across different domains, similar to human intelligence.

AI technologies have a wide range of applications across various industries, including healthcare, finance, transportation, entertainment, and more. While AI offers tremendous potential benefits, it also raises ethical and societal concerns, such as job displacement, privacy issues, bias in algorithms, and the potential for misuse. Therefore, the development and deployment of AI systems require careful consideration of these implications.

[seccamsla]

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[luxlaff]

Unveiling AI's Achilles' Heel: The Critical Battle Against Adversarial Attacks

In recent developments that have sent ripples through the tech community, a concerning level of vulnerability in AI networks to malicious attacks has been uncovered. This discovery suggests that AI systems are far more susceptible to manipulation than previously believed, posing significant risks, particularly in applications where safety and accuracy are critical. The revelation comes from a series of studies focused on adversarial attacks, a method where attackers subtly manipulate data inputs to confuse AI systems, causing them to make incorrect decisions or take erroneous actions.

Understanding the Threat: Adversarial Attacks

Adversarial attacks operate by making minor modifications to inputs that AI systems are designed to interpret. For instance, slight alterations to a stop sign could render it unrecognized by an AI system responsible for autonomous vehicle navigation, or subtle changes to medical imaging might result in inaccurate diagnoses by AI-driven diagnostic tools. This vulnerability not only highlights the fragility of AI networks but also underscores the potential dangers they pose in environments where precision is non-negotiable.

QuadAttacK: A Tool for Exposing Vulnerabilities

At the heart of this research is a tool named QuadAttacK, designed to probe the vulnerabilities of four widely-used deep neural networks. The findings were alarming, with each of these networks demonstrating significant susceptibility to adversarial manipulations. The introduction of QuadAttacK to the public domain now allows for broader research and testing on AI network vulnerabilities, paving the way for enhancing their security against malicious interventions.

The Imperative for Robust Cybersecurity Measures

These revelations underscore the urgent need for advanced cybersecurity measures within AI systems. Protecting AI networks from such vulnerabilities is not just a technical challenge but a critical safety imperative, especially in sectors like healthcare and transportation, where the stakes are high. The goal is to fortify AI systems against the ingenuity of cyber threats, ensuring they remain reliable under all circumstances.

The Road Ahead: Securing AI Systems

The discovery of AI networks' vulnerability to adversarial attacks serves as a wake-up call to the AI research community and industry practitioners. It brings to light the importance of integrating robust cybersecurity frameworks from the early stages of AI system development. Moreover, it highlights the need for continuous vigilance and adaptive security protocols to safeguard these technologies against evolving cyber threats.

In conclusion, while AI systems offer transformative potentials across various sectors, their susceptibility to adversarial attacks poses significant challenges. The advent of tools like QuadAttacK represents a critical step towards understanding and mitigating these vulnerabilities. Moving forward, the emphasis must be on developing and implementing comprehensive cybersecurity measures to protect AI systems, ensuring they can be trusted to perform safely and accurately in all applications.

[jpmellojr]

OWASP Top 10 for LLM 2.0: 3 key AppSec focus areas emerge

Following a survey of practitioners, data privacy, safety and bias, and mapping out vulnerabilities emerged as key focal points. https://jpmellojr.blogspot.com/2024/02/owasp-top-10-for-llm-20-3-key-appsec.html

[joshtechadvisory]

Malware (also known as malicious software) is a fraudulent code that is injected into a user’s computer to steal and corrupt sensitive information. This can lead to a ransom attack where the perpetrator agrees to give back the information in exchange for a demanding ransom.

Read More : https://joshsoftware.com/blogs/the-helping-hand-of-ai-in-cybersecurity/

[osintelligence]

https://bit.ly/3saXhuD - 🖼 A new tool, Nightshade, allows artists to alter pixels within their art. If this art is incorporated into an AI training set, the AI model may malfunction in unpredictable ways. The motive is to deter AI companies from using artworks without artists' permissions. The outcome could be, for instance, image-generating AI models producing erroneous outputs, such as turning dogs into cats. #Nightshade #AI #ArtistsRights 📢 Several AI firms like OpenAI, Meta, and Google face legal challenges from artists claiming their works were used without consent. Nightshade, developed under the guidance of Professor Ben Zhao, is seen as a means to give power back to artists by serving as a deterrent against copyright infringement. Neither Meta, Google, Stability AI, nor OpenAI commented on their potential reactions to this tool. #OpenAI #Meta #Google #Copyright 🔒 Alongside Nightshade, Zhao's team also created Glaze. This allows artists to mask their unique style to avoid detection by AI scraping tools. Soon, Nightshade will be integrated into Glaze, and it's set to become open source. The more artists use these tools, the stronger they become, potentially damaging large AI models. #Glaze #OpenSource #AISecurity 🎯 Focusing on the mechanism, Nightshade exploits a weakness in generative AI models which train on vast data sets. By poisoning art data, for instance, an AI might confuse hats with cakes. Removing these corrupted data points is challenging. Experiments showed that with a few hundred poisoned images, AI outputs become significantly distorted. #DataPoisoning #AIModel 🔗 The influence of Nightshade isn't limited to direct keywords. If the AI is trained on a corrupted image labeled as “fantasy art,” related terms such as “dragon” or “Lord of the Rings castle” could also generate skewed outputs. #AIInfluence #KeywordAssociation ⚠️ While Nightshade could be a potent tool for artists, Zhao acknowledges potential misuse. Corrupting larger AI models would require thousands of tainted samples. Experts like Professor Vitaly Shmatikov emphasize that defenses against such attacks are vital. Gautam Kamath praised the research, noting it highlights vulnerabilities in AI models. #AIAbuse #ModelVulnerability 🤝 Nightshade may push AI companies to recognize artists' rights better, potentially leading to increased royalty payments. While some AI firms allow artists to opt out of training models, artists argue this isn't sufficient. Tools like Nightshade and Glaze might restore some power to artists, giving them confidence to showcase their art online without fear.

[opticvyu]

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[govindhtech]

Introducing CoSAI And Founding Member Organisations

AI requires an applied standard and security framework that can keep up with its explosive growth. Since Google was aware that this was only the beginning, Google released the Secure  AI Framework (SAIF) last year. Any industrial framework must, of course, be operationalized through close cooperation with others, and above all, a forum.

Together with their industry colleagues, Google is launching the Coalition for Secure AI (CoSAI) today at the Aspen Security Forum. Over the past year, Google have been trying to bring this coalition together in order to achieve comprehensive security measures for addressing the particular vulnerabilities associated with AI, for both immediate and long-term challenges.

Creating Safe AI Systems for Everyone

In order to share best practices for secure  AI deployment and work together on AI security research and product development, the Coalition for Secure  AI (CoSAI) is an open ecosystem of AI and security specialists from top industry organisations.

What is CoSAI?

Collective action is necessary for security, and using AI itself is the greatest approach to secure AI. Individuals, developers, and businesses must all embrace common security standards and best practices in order to engage in the digital ecosystem securely and ensure that it is safe for all users. AI is not an exception. In order to address this, a diverse ecosystem of stakeholders came together to form the Coalition for Secure  AI (CoSAI), which aims to build technical open-source solutions and methodologies for secure  AI development and deployment, share security expertise and best practices, and invest in AI security research collectively.

In partnership with business and academia, CoSAI will tackle important AI security concerns through a number of vital workstreams, including initiatives like:

AI Systems’ Software Supply Chain Security

Getting Defenders Ready for a Changing Security Environment

Governance of AI Security

How It Benefits You

By taking part in CoSAI, you may get in touch with a thriving network of business executives who exchange knowledge and best practices about the development and application of safe  AI. By participating, you get access to standardised procedures, collaborative efforts in  AI security research, and open-source solutions aimed at enhancing the security of AI systems. In order to strengthen the security and trust of AI systems inside your company, CoSAI provides tools and guidelines for putting strong security controls and mitigations into place.

Participate!

Do you have any questions regarding CoSAI or would you like to help with some of Google’s projects? Any developer is welcome to participate technically for no cost. Google is dedicated to giving each and every contributor a transparent and friendly atmosphere. Become a CoSAI sponsor to contribute to the project’s success by financing the essential services that the community needs.

CoSAI will be headquartered under OASIS Open, the global standards and open source organisation, and comprises founding members Amazon, Anthropic, Chainguard, Cisco, Cohere, GenLab, IBM,  Intel, Microsoft, NVIDIA, OpenAI, Paypal, and Wiz.

Announcing the first workstreams of CoSAI

CoSAI will support this group investment in  AI security as people, developers, and businesses carry out their efforts to embrace common security standards and best practices. Additionally, Google is releasing today the first three priority areas that the alliance will work with business and academia to address:

Software Supply Chain Security for  Artificial Intelligence Systems: Google has been working to expand the use of SLSA Provenance to  AI models in order to determine when AI software is secure based on the way it was developed and managed along the software supply chain. By extending the current efforts of SSDF and SLSA security principles for AI and classical software, this workstream will strive to improve  AI security by offering guidance on analysing provenance, controlling risks associated with third-party models, and examining the provenance of the entire AI application.

Getting defenders ready for an evolving cybersecurity environment: Security practitioners don’t have an easy way to handle the intricacy of security problems when managing daily AI governance. In order to address the security implications of  AI use, this workstream will offer a framework for defenders to identify investments and mitigation strategies. The framework will grow mitigation measures in tandem with the development of AI models that progress offensive cybersecurity.

AI security governance: Managing AI security concerns calls for a fresh set of tools and knowledge of the field’s particularities. To assist practitioners in readiness assessments, management, monitoring, and reporting of the security of their AI products, CoSAI will create a taxonomy of risks and controls, a checklist, and a scorecard.

In order to promote responsible  AI, CoSAI will also work with groups like the Partnership on AI, Open Source Security Foundation, Frontier Model Forum, and ML Commons.

Next up

Google is dedicated to making sure that as  AI develops, efficient risk management techniques do too. The industry support for safe and secure AI development that Google has witnessed over the past year is encouraging. The efforts being made by developers, specialists, and large and small businesses to assist organisations in securely implementing, training, and utilising AI give them even more hope.

AI developers require and end users should have access to a framework for AI security that adapts to changing circumstances and ethically seizes opportunities. The next phase of that journey is CoSAI, and in the upcoming months, further developments should be forthcoming. You can go to coalitionforsecureai.org to find out how you can help with CoSAI.

Read more on Govindhtech.com

[sajzath]

AI-Powered DIY Smart Cameras: The Future of Security

Imagine a world where your home security is enhanced, not by expensive security systems with complicated installations, but by smart cameras that you can easily set up yourself. Thanks to the remarkable advancements in Artificial Intelligence (AI), DIY smart cameras are becoming the future of security. In this article, we will delve into the world of AI-powered DIY smart cameras, exploring their…

[d0nutzgg]

The Rise of AI Powered Malware

AI malware is a growing concern in the world of cybersecurity. These types of malware use artificial intelligence and machine learning to evade detection and cause significant damage to individuals and organizations.

One example of AI malware is the "VPNFilter" malware, which was discovered in 2017 by researchers. This malware was able to infect routers and network-attached storage devices, and was able to evade detection by regularly changing its command-and-control servers. This made it difficult for security experts to track and remove the malware. It was later discovered that the malware was developed by a Russian state-sponsored group known as "Sandworm Team."

Another example of AI malware is the use of deepfake videos to spread malware through social media platforms. In 2018, researchers at the University of Alabama at Birmingham discovered that these types of videos could be used to bypass security measures by disguising themselves as legitimate video files. The malware was then spread through social media and messaging apps, and was being distributed by a group known as the "Turla" APT group, which is believed to be operating out of Russia.

AI-powered malware can also be used to launch DDoS attacks. For example, the Mirai botnet, which was discovered in 2016, was able to infect and control IoT devices, such as routers and security cameras, and use them to launch DDoS attacks. The botnet was able to generate massive amounts of traffic, resulting in some of the largest DDoS attacks seen to date.

The use of AI in malware is a serious threat to cybersecurity, as it can be used to launch large-scale attacks that are more difficult to detect and prevent. It's important for individuals and organizations to be aware of the potential for AI malware and to take appropriate precautions to protect themselves from these types of attacks.

For more information on AI powered malware check out chapter six in my WIP book on Wattpad "Navigating the Future: A Comprehensive Guide to Machine Learning and AI Ethics"

[atozofsoftwareengineering]

17 Essential Steps to Fortify Your AI Application

Master AI security with these 17 essential steps! #AISecurity #DataProtection #CyberSecurity

In today’s digital landscape, securing AI applications is crucial for maintaining trust and ensuring data integrity. Here’s a comprehensive guide to the 17 essential steps for fortifying your AI application. 1. Encrypt Data Ensure that all data, both in transit and at rest, is encrypted. Use industry-standard encryption protocols like AES (Advanced Encryption Standard) for data at rest and TLS…