#behavioral analysis

[charlat-anne]

So just then I was re-watching Disney's underrated "Dinosaur" (2000), and there happened to be this scene where they've reached the watering hole just to find out it dried up, shortly after, Aladar found a way to get them water with Baylene's help.

Without hesitation, he called out to the rest of the herd.

and unfortunately, had to deal with a pretty rough, unexpected backlash when he tried containing their reaction, and basically got flooded.

That was when someone called him "stupid"..? I couldn't get where that came from so, I asked, and was answered with:

" He should've waited for the older ones to be done drinking first before calling others, to avoid this kind of situation."

So, what makes him stupid is basically lacking your knowledge ..?

If we shall take a look back on his life ..

Aladar was the unchallengeable creature on his island, meaning that he never really had to experience opposition, that along with the way he was raised, never fed the "potential threat" he could've become.

° °

Though it's also obvious that before the catastrophic meteor shower, he never went through scarcity of resources, which would lead us to remember that even when he did, it'd only shown his true nature;

(He was the last one digging, though he wasn't any less thirsty than the rest, but look at his proud smile! and him stepping back for them to start drinking first)

He'd proven to be an altruist..

time and time again.

Hence, clashing against self-seeking behavior was rather perplexing to him.. (not like he knows what that even is..)

° °

Knowing that already should naturally interpret that he wasn't "stupid", but inexperienced..

If we'll be setting that way of ignorant thinking, we'd easily ignore his motives & assume that Aladar staying behind with the "weak" was because he's an idiot. (Deliberately ignoring that it was out of benevolence)

And Bruton's death was an illogicality.. not at all sacrificial or noble

° °

The issue with setting that behavior irl is ignoring facts & passing judgment without taking the other side's morals, characteristics, knowledge, and motives into account. which wouldn't only make them feel misunderstood, but makes you terribly misinformed!

You managed to know everything but somehow ended up knowing nothing. How unfortunate.

[ur-favorite-puppyboy]

would u still love me if i was the boba that gets stuck in the straw and then shoots straight down ur throat making u choke and almost die?

[jbfly46]

In the United States, the primary antagonistic actor against the working class is the circuit court system, which runs amok violating federal law and the constitution on a daily basis, while also laundering money for drug cartels and other actors tied to foreign intelligence.

The U.S. federal court system is supposed to be able to be used by the working class as an enforcement mechanism against unlawful lower court and corporate actors, but there is an entity preventing that from occurring.

At the individual state level, the U.S. government is run by quasi-government affiliated and government adjacent entities that actively sabotage the daily lives of the working class.

Whether the federal government is tied to the quasi-state foreign intelligence affiliated actors or not, they have the information available to realize what is happening and are doing nothing about it.

U.S. state and local internet connected systems have the fingerprints and the financial trail of being sourced from Israeli intelligence.

[internett1line]

Understanding Network Sandboxes: Enhancing Cybersecurity for Businesses

In today’s digital landscape, cybersecurity is a growing concern for organizations of all sizes. As businesses continue to expand their digital footprint, cyber threats evolve, becoming more sophisticated and harder to detect. This is where network sandboxes play a critical role in ensuring the safety and security of sensitive data and IT infrastructures. What is a Network Sandbox? A network…

[maharghaideovate]

Consumer Behavior Analysis: Insights from Sikkim Manipal University

Hello, curious brains and fans of marketing! Have you ever wondered why you consistently eat the same sort of cereal or why you can’t resist purchasing the newest technology? It is primarily the subject of consumer behavior analysis, and Sikkim Manipal University (SMU) is researching this fascinating subject. Let’s examine some intriguing results from studies and research on consumer behavior…

[jcmarchi]

How the Internet of Things (IoT) became a dark web target – and what to do about it - CyberTalk

New Post has been published on https://thedigitalinsider.com/how-the-internet-of-things-iot-became-a-dark-web-target-and-what-to-do-about-it-cybertalk/

How the Internet of Things (IoT) became a dark web target – and what to do about it - CyberTalk

By Antoinette Hodes, Office of the CTO, Check Point Software Technologies.

The dark web has evolved into a clandestine marketplace where illicit activities flourish under the cloak of anonymity. Due to its restricted accessibility, the dark web exhibits a decentralized structure with minimal enforcement of security controls, making it a common marketplace for malicious activities.

The Internet of Things (IoT), with the interconnected nature of its devices, and its vulnerabilities, has become an attractive target for dark web-based cyber criminals. One weak link – i.e., a compromised IoT device – can jeopardize the entire network’s security. The financial repercussions of a breached device can be extensive, not just in terms of ransom demands, but also in terms of regulatory fines, loss of reputation and the cost of remediation.

With their interconnected nature and inherent vulnerabilities, IoT devices are attractive entry points for cyber criminals. They are highly desirable targets, since they often represent a single point of vulnerability that can impact numerous victims simultaneously.

Check Point Research found a sharp increase in cyber attacks targeting IoT devices, observing a trend across all regions and sectors. Europe experiences the highest number of incidents per week: on average, nearly 70 IoT attacks per organization.

Gateways to the dark web

Based on research from PSAcertified, the average cost of a successful attack on an IoT device exceeds $330,000. Another analyst report reveals that 34% of enterprises that fell victim to a breach via IoT devices faced higher cumulative breach costs than those who fell victim to a cyber attack on non-IoT devices; the cost of which ranged between $5 million and $10 million.

Other examples of IoT-based attacks include botnet infections, turning devices into zombies so that they can participate in distributed denial-of-service (DDoS), ransomware and propagation attacks, as well as crypto-mining and exploitation of IoT devices as proxies for the dark web.

The dark web relies on an arsenal of tools and associated services to facilitate illicit activities. Extensive research has revealed a thriving underground economy operating within the dark web. This economy is largely centered around services associated with IoT. In particular, there seems to be a huge demand for DDoS attacks that are orchestrated through IoT botnets: During the first half of 2023, Kaspersky identified over 700 advertisements for DDoS attack services across various dark web forums.

IoT devices themselves have become valuable assets in this underworld marketplace. On the dark web, the value of a compromised device is often greater than the retail price of the device itself. Upon examining one of the numerous Telegram channels used for trading dark web products and services, one can come across scam pages, tutorials covering various malicious activities, harmful configuration files with “how-to’s”, SSH crackers, and more. Essentially, a complete assortment of tools, from hacking resources to anonymization services, for the purpose of capitalizing on compromised devices can be found on the dark web. Furthermore, vast quantities of sensitive data are bought and sold there everyday.

AI’s dark capabilities

Adversarial machine learning can be used to attack, deceive and bypass machine learning systems. The combination of IoT and AI has driven dark web-originated attacks to unprecedented levels. This is what we are seeing:

Automated exploitation: AI algorithms automate the process of scanning for vulnerabilities and security flaws with subsequent exploitation methods. This opens doors to large-scale attacks with zero human interaction.

Adaptive attacks: With AI, attackers can now adjust their strategies in real-time by analyzing the responses and defenses encountered during an attack. This ability to adapt poses a significant challenge for traditional security measures in effectively detecting and mitigating IoT threats.

Behavioral analysis: AI-driven analytics enables the examination of IoT devices and user behavior, allowing for the identification of patterns, anomalies, and vulnerabilities. Malicious actors can utilize this capability to profile IoT devices, exploit their weaknesses, and evade detection from security systems.

Adversarial attacks: Adversarial attacks can be used to trick AI models and IoT devices into making incorrect or unintended decisions, potentially leading to security breaches. These attacks aim to exploit weaknesses in the system’s algorithms or vulnerabilities.

Zero-tolerance security

The convergence of IoT and AI brings numerous advantages, but it also presents fresh challenges. To enhance IoT security and device resilience while safeguarding sensitive data, across the entire IoT supply chain, organizations must implement comprehensive security measures based on zero-tolerance principles.

Factors such as data security, device security, secure communication, confidentiality, privacy, and other non-functional requirements like maintainability, reliability, usability and scalability highlight the critical need for security controls within IoT devices. Security controls should include elements like secure communication, access controls, encryption, software patches, device hardening, etc. As part of the security process, the focus should be on industry standards, such as “secure by design” and “secure by default”, along with the average number of IoT attacks per organization, as broken down by region every week.

Collaborations and alliances within the industry are critical in developing standardized IoT security practices and establishing industry-wide security standards. By integrating dedicated IoT security, organizations can enhance their overall value proposition and ensure compliance with regulatory obligations.

In today’s cyber threat landscape, numerous geographic regions demand adherence to stringent security standards; both during product sales and while responding to Request for Information and Request for Proposal solicitations. IoT manufacturers with robust, ideally on-device security capabilities can showcase a distinct advantage, setting them apart from their competitors. Furthermore, incorporating dedicated IoT security controls enables seamless, scalable and efficient operations, reducing the need for emergency software updates.

IoT security plays a crucial role in enhancing the Overall Equipment Effectiveness (a measurement of manufacturing productivity, defined as availability x performance x quality), as well as facilitating early bug detection in IoT firmware before official release. Additionally, it demonstrates a solid commitment to prevention and security measures.

By prioritizing dedicated IoT security, we actively contribute to the establishment of secure and reliable IoT ecosystems, which serve to raise awareness, educate stakeholders, foster trust and cultivate long-term customer loyalty. Ultimately, they enhance credibility and reputation in the market. Ensuring IoT device security is essential in preventing IoT devices from falling into the hands of the dark web army.

This article was originally published via the World Economic Forum and has been reprinted with permission.

For more Cyber Talk insights from Antoinette Hodes, please click here. Lastly, to receive stellar cyber insights, groundbreaking research and emerging threat analyses each week, subscribe to the CyberTalk.org newsletter.

[kamana-mishra]

Unveiling Quantitative Analysis: A Journey Through Online Learning

In today's data-dominated landscape, the ability to dissect and interpret information is a coveted skill across industries. Quantitative analysis is the cornerstone of this endeavour, offering a systematic approach to unravelling complex datasets and extracting meaningful insights. For those eager to delve into this realm, online courses serve as gateways to understanding, with platforms like Finology Quest leading the charge.

Deciphering Quantitative Analysis

Quantitative analysis is the art of scrutinizing data using mathematical and statistical methods to uncover patterns, trends, and correlations. From financial forecasting to market research, its applications span far and wide, underpinning decision-making processes in myriad domains.

Exploring the Learning Path

Online courses tailored to quantitative analysis, such as those curated by Finology Quest, present a comprehensive curriculum designed to equip learners with the necessary tools and techniques. These courses typically traverse the following terrain:

Statistical Foundations: From probability theory to hypothesis testing, learners gain a firm grasp of statistical fundamentals essential for data analysis.

Data Wrangling: Techniques for cleaning, organizing, and analyzing datasets are elucidated, often employing popular tools like Excel, Python, or R.

Modeling Insights: Understanding the construction of mathematical models enables learners to simulate real-world scenarios and make informed predictions.

Risk Evaluation: Quantitative analysis aids in assessing and mitigating risks, particularly in fields like finance and insurance, fostering prudent decision-making.

Practical Applications: Theoretical knowledge is reinforced through hands-on exercises, allowing learners to apply quantitative analysis techniques to solve tangible problems across industries.

Harnessing the Power of Online Learning

Online courses offer unparalleled flexibility, accommodating learners' schedules and preferences. With interactive modules and practical assignments, platforms like Finology Quest facilitate active engagement, nurturing a deeper understanding of quantitative analysis concepts.

Embracing Practicality

While online courses lay the groundwork, practical experience is the catalyst for mastery. Learners are encouraged to embark on personal projects or seek internships, bridging theory with real-world application and honing their analytical acumen.

Conclusion: Empowering Insight and Action

Quantitative analysis online courses, exemplified by Finology Quest's offering, empower individuals to unlock the potential of data-driven decision-making. Through structured learning, supplemented by practical experience, learners embark on a journey of discovery, armed with the skills to navigate the complexities of quantitative analysis adeptly. As they journey forth, armed with knowledge and curiosity, they stand poised to uncover insights, drive innovation, and shape the future across diverse domains.

[airwavesdotblog]

The Indianapolis Mall Shooting and Possible AI Solutions

Seven children were injured in a shooting outside a mall in downtown Indianapolis on Saturday night, with most suffering non-life-threatening injuries. The victims’ ages range from 12 to 16. One of the girls is 16, and the other three are 14. Among the boys, two are 16, and one is 12. A victim initially hospitalized in critical condition overnight is now stable. Three of the children have been…

[signode-blog]

Understanding Insider Trading: Unveiling the Wall Street Secrets

Introduction to Insider Trading Welcome to the world of finance, where markets operate on the principles of trust, transparency, and fair play. However, lurking in the shadows of this financial landscape is a practice that challenges the very foundations of these principles: insider trading. Let us embark on a journey to demystify insider trading, a phenomenon that has captured the attention of…

[technorail-blog]

What do you understand by behavioral analysis

Behavioral analytics is a pivotal aspect of modern business strategies, offering profound insights into user interactions and preferences. It involves the systematic examination of user actions, enabling organizations to make informed decisions based on real-time data. In an era driven by data, understanding user behavior has become essential to enhance products and services effectively.

With the proliferation of online platforms and digital services, product analytics tools have gained prominence. These tools allow companies to analyze user behavior comprehensively, deciphering how users engage with their offerings. By employing advanced product analytics software, businesses can decode patterns and trends, which empowers them to optimize their strategies for improved outcomes and product insights. Leading analytic software companies provide sophisticated solutions that aid in understanding user behavior intricacies.

The core of behavioral data analysis lies in its ability to unravel user intentions. By tracking various actions such as clicks, navigation paths, and usage frequency, organizations can gain valuable insights into what drives user decisions. This information, coupled with contextual data, paints a holistic picture of user preferences and pain points. Consequently, businesses can align their offerings with user needs, enhancing customer satisfaction and retention.

Behavioral analytics extends beyond mere data collection; it delves into the realm of predictive analysis. By recognizing patterns and correlations within behavioral data, businesses can anticipate future user actions. This foresight enables proactive adjustments to products and strategies, staying ahead in a dynamic market. The integration of behavioral insights with product analytics facilitates a comprehensive understanding of how users interact with different features, leading to impactful refinements.

One of the most significant advantages of behavioral analytics is its role in crafting personalized experiences. Through meticulous examination of user behavior, businesses can tailor their offerings to individual preferences. By capitalizing on the power of product insights, companies can deliver targeted content, recommendations, and solutions, fostering stronger engagement and loyalty.

In conclusion, behavioural analytics serves as a cornerstone for modern business success. It offers a lens into user actions, aiding in the formulation of informed decisions. The synergy between behavioral analytics and product analytics enables companies to decipher user behavior intricacies and adapt accordingly. By leveraging these insights, businesses can refine their strategies, create personalized experiences, and ultimately achieve sustainable growth in a competitive landscape.

[jbfly46]

The United States Empire can be brought to its knees by crippling a few key low level targets in relatively quick succession of each other.

The National Guard and the U.S. Military are incapable of being organized in any intelligent capacity quickly enough to be relevant factors to an intelligent adversary.

The FBI is incapable of investigating any entities except for low-level mentally ill lone wolf and militia actors, and very sparingly at that.

[mtbcleadgenbuzz]

Why Local Businesses Are Turning To AI For Content Creation: The Benefits Of Custom, Data-Driven Marketing!

Why Local Businesses Are Turning To AI For Content Creation: The Benefits Of Custom, Data-Driven Marketing! Local businesses are turning to AI for content creation more than ever before. With the rise of digital marketing, companies are realizing that traditional advertising methods may no longer be enough to stay competitive in today’s fast-paced world. The benefits of custom, data-driven…

[aunmenosheteroenespanol]

2.12 Chimney Begins - 2.09 Hen Begins - 2.16 Bobby Begins Again - 7.04 Buck, Bothered and Bewildered

Tommy's family arc

[jcmarchi]

How AI turbocharges your threat hunting game - CyberTalk

New Post has been published on https://thedigitalinsider.com/how-ai-turbocharges-your-threat-hunting-game-cybertalk/

How AI turbocharges your threat hunting game - CyberTalk

EXECUTIVE SUMMARY:

Over 90 percent of organizations consider threat hunting a challenge. More specifically, seventy-one percent say that both prioritizing alerts to investigate and gathering enough data to evaluate a signal’s maliciousness can be quite difficult.

Threat hunting is necessary simply because no cyber security protections are always 100% effective. An active defense is needed, as opposed to dependence on ‘set it and forget it’ types of security tools.

But, despite active threat hunting, many persistent threats often remain undiscovered — until it’s too late. Or at least, that used to be the case.

Artificial intelligence is changing the game. Threat hunting is a task “…that could be accelerated, or in some cases replaced, by AI,” says Check Point’s CTO, Dr. Dorit Dor.

Evolve your threat hunting

Many threat hunters contend with visibility blind-spots, non-interoperable tools and growing complexity due to the nature of hybrid environments. But the right tools can empower threat hunters to contain threats quickly, minimizing the potential impact and expenses associated with an attack.

1. Self-learning. AI-powered cyber security solutions that assist with threat hunting can learn from new threats and update their internal knowledge bases. In our high-risk digital environments, this level of auto-adaptability is indispensable, as it keeps security staff ahead of attacks.

2. Speed and scale. AI-driven threat hunting engines can also process extensive quantities of data in real-time. This allows for pattern and indicator of compromise identification at speed and scale – as never seen before.

3. Predictive analytics. As AI-powered engines parse through your organization’s historical data, the AI can then predict potential threat vectors and vulnerabilities. In turn, security staff can proactively implement means of mitigating associated issues.

4. Collaborative threat hunting. AI-based tools can facilitate collaboration between security analysts by correlating data from different sources. They can then suggest potential threat connections that neither party would have observed independently. This can be huge.

5. Automated response. AI security solutions can automate responses to certain types of threats after they’re identified. For instance, AI can block certain IP addresses or isolate compromised systems, reducing friction and response times.

Implicit challenges

Although AI-based tools can serve as dependable allies for threat hunters, AI cannot yet replace human analysts. Human staff members ensure a nuanced understanding and contextualization of cyber threats.

The right solution

What should you look for when it comes to AI-powered threat hunting tools? Prioritize tools that deliver rich, contextualized insights. Ensure cross-correlation across endpoints, network, mobile, email and cloud in order to identify the most deceptive and sophisticated of cyber attacks. Make sure that your entire security estate is protected.

Are you ready to leverage the power of AI for threat hunting? Get ready to hunt smarter, faster and more efficiently while leveraging the power of AI. The future of threat hunting has arrived. Get more information here.

Lastly, to receive more timely cyber security news, insights and cutting-edge analyses, please sign up for the cybertalk.org newsletter.

[whoisspence]

requirements to be in the bau: have a beautiful smile

[youryurigoddess]

Imagine the amount of Good Omens relationship drama that could have been avoided with Aziraphale conducting one simple Google search and finding undeniable proof that Crowley is interested in him.

Crowley rubs his chin while watching Aziraphale, walks in a suspiciously undulating way, circles around his angel protectively, pushes and nudges him.

The biting part though? Remains to be seen.