Aleksandr Yampolskiy’s Post

Did you miss last week's insightful webinar 'Primer to GenAI for Threat Modeling'? No fear, watch it on demand to learn about: ⚙️ Unveiling the Mechanics of GenAI 🧠 Showcasing Major Use Cases of GenAI 🛡️ GenAI's Integral Role in Cybersecurity ⚡ The Importance of Threat Modeling And more! Take a look here: https://hubs.li/Q02j7n8n0 #genai #generativeai #threatmodeling #proactivesecurity #ai #throwbackthursday

🔍 In a groundbreaking study, researchers reveal a sophisticated method to extract critical information from black-box production language models like OpenAI's GPT and Google's PaLM series. This technique, utilizing less than $20, can unveil the embedding projection layer of such models, including their hidden dimensions—previously a closely guarded secret. With implications ranging from enhancing model transparency to raising serious security concerns, this research highlights the potential for model vulnerabilities and underscores the need for robust defense mechanisms. A pivotal read for anyone in the field of AI and cybersecurity! #analyticsvidhya #datascience #machinelearning #generativeai

🚀LLM Agents can Hack Websites🚀 A pivotal study reveals that the large language model (LLM) agents, particularly GPT-4, possess the astonishing ability to autonomously hack websites through advanced techniques like blind database schema extraction and SQL injections, all without prior knowledge of existing vulnerabilities. This capability, absent in current open-source models, underscores a unique blend of tool use proficiency and contextual understanding inherent in frontier models like GPT-4. 🔍 This revelation prompts a crucial dialogue on the ethical deployment and governance of LLMs, urging us to balance innovation with vigilance in cybersecurity practices. Stay tuned for more updates and discussions on the implications of these AI advancements. #AI #Cybersecurity #Innovation #EthicsInAI https://lnkd.in/gT6vs5ZT

Explore the intricacies of the NIST NICE framework and the art of prompt engineering in our latest blog post. Discover how we leveraged Gemini AI to create over 6,000 AI-powered prompts to help you master the NICE framework. Dive deep into dynamic learning experiences and accelerate your expertise. Read more: https://bit.ly/3W8rsh9 #Cybersecurity #NISTNICE #GeminiAI #AI #LLM

💥 New tool alert! 💥 🚀 Excited to announce the launch of a new tool that puts the NIST NICE framework into action! 🚀 💼 We've harnessed the NIST NICE framework to create a game-changing solution for cybersecurity workforce optimization. Having been part of the early NIST NICE discussions, it's really exciting to see these developments coming to fruition. Check it out! #cybersecurity #NISTNICE #innovation #workforcedevelopment

Google Unveils Project Naptime for AI-Driven Vulnerability Research Google has introduced Project Naptime, a groundbreaking framework aimed at leveraging large language models (LLMs) for vulnerability research, with the goal of refining automated detection methods. https://is.gd/o8jlty #AI #artificialintelligence #Cybersecurity #Google #llm #machinelearning

🚨 Richmond, VA: Join Bishop Fox’s Josh Shomo and Caleb Gross at RVASec June 5 at 10:30 a.m. for a look at the real-world application of LLMs in security research. Their talk, "Patch Perfect: Harmonizing with LLMs to Find Security Vulns" will explore the practical use of large language models for patch-diffing and N-day vulnerability research. Discover how LLMs can pinpoint critical bugs in complex code bases and learn which models excel in this domain. Perfect for pentesters, researchers, and those eager to integrate AI into their security strategies. Don’t miss this blend of practical insights and actionable advice! https://bfx.social/4c6pWTe #RVASec #CyberSecurity #AI

Embracing the future of AI with robust security measures! 🔐 I'm excited to share our latest blog post on the importance of "Red Teaming Large Language Models." As AI systems like GPT-4 and Claude become more prevalent, it's crucial to proactively identify and mitigate potential vulnerabilities. Why Red Team LLMs? LLM Red Teaming is crucial for detecting and addressing vulnerabilities in LLMs, putting the security and reputation of your organization and customers first. Our LLM Red Teaming service identifies potential threats and weaknesses in your LLM apps. By developing a holistic threat model with real attack scenarios ⚡, we provide actionable insights to strengthen your AI systems against critical LLM risks, such as misinformation and data leaks. Read the full article here👉: https://lnkd.in/dAYwX_j3 Join the conversation and share your thoughts on responsible AI practices and the importance of security in this rapidly evolving landscape. #RedTeaming #LLMSecurity #ResponsibleAI #AIRisks #ThreatModeling #CyberSecurity #LLMs #AISafety

🚨 Richmond, VA: Join Bishop Fox’s Josh Shomo and Caleb Gross at RVASec June 5 at 10:30 a.m. for a look at the real-world application of LLMs in security research. Their talk, "Patch Perfect: Harmonizing with LLMs to Find Security Vulns" will explore the practical use of large language models for patch-diffing and N-day vulnerability research. Discover how LLMs can pinpoint critical bugs in complex code bases and learn which models excel in this domain. Perfect for pentesters, researchers, and those eager to integrate AI into their security strategies. Don’t miss this blend of practical insights and actionable advice! https://bfx.social/3R3JKi0 #RVASec #CyberSecurity #AI

The Dual Impact of AI and Machine Learning: Revolutionizing Cybersecurity and Amplifying Cyber Threats AI and ML are revolutionizing cybersecurity by significantly boosting defensive and offensive capabilities. On the defensive front, these technologies empower systems to detect better and counter cyber threats. AI and ML algorithms excel in processi... https://lnkd.in/eF5tnRFm #AI #ML #Automation