Snyk’s Post

Having dived into MITRE ATLAS, I gained a solid foundation on the AI threat landscape. Now, I’m exploring the OWASP Top 10 for LLMs & Generative AI—a fantastic resource for securing applications and drawing on lessons from application security since the early 2000s. In this evolving AI space, OWASP remains a solid resource, and I’m excited to see this update and eager to dive in! 📖

With the increasing availability of LLMs, we can expect to see even more innovative applications of this technology in the future. However, it is important to carefully consider the potential security challenges related to GenAI applications and the underline LLM.

The Evolving Role of Open-Source Intelligence. Learn about advancements in data collection and risk detection frameworks driven by AI and how OSINT is being applied to selected use cases including security vetting and insider threat detection. https://lnkd.in/gscAh-Ck

The Evolving Role of Open-Source Intelligence. Learn about advancements in data collection and risk detection frameworks driven by AI and how OSINT is being applied to selected use cases including security vetting and insider threat detection. https://lnkd.in/gscAh-Ck

The Evolving Role of Open-Source Intelligence. Learn about advancements in data collection and risk detection frameworks driven by AI and how OSINT is being applied to selected use cases including security vetting and insider threat detection. https://lnkd.in/gscAh-Ck

The Evolving Role of Open-Source Intelligence. Learn about advancements in data collection and risk detection frameworks driven by AI and how OSINT is being applied to selected use cases including security vetting and insider threat detection. https://lnkd.in/gscAh-Ck

I am curious to learn about: 1. Your thoughts on the sensitivity of information contained in LLM system prompts? 2. Is the 'leakage' of prompts behind LLM agents/applications interesting to the LLM security community? Or would companies and AI applications release system prompts for transparency and trust? In our recent work on AI Security, we investigate the prompt leakage effect in LLMs (https://lnkd.in/gtp6V-MD), focusing on multi-turn interactions and studying the leakage of specific prompt contents. We perform an in-depth study to measure the mitigation effects of applying different defense strategies, to both open- and closed- source LLMs. Paper - https://lnkd.in/g5Sc5dYz Work done at Salesforce Research in collaboration w/ Alexander Fabbri, Benjamin R. Philippe Laban, Shafiq Joty and Chien-Sheng (Jason) WU.

In an age where technology shapes our lives more than ever, how can we protect our democracy? 🤔 Marietje Schaake, a former Member of the European Parliament and Fellow at Stanford University's Cyber Policy Center and the Stanford Institute for Human-Centered Artificial Intelligence, explores what she believes is one of the most urgent challenges of our time: the erosion of our own democratic institutions. In this thrilling conversation, Schaake discusses the strategies outlined in her new book, 'The Tech Coup: How to Save Democracy from Silicon Valley,' on how to reclaim democratic control in the digital age. Read the full Q&A here 👉 https://t.ly/Fwpzt #AI #TheTechCoup #TechEthics #CogX2024

💡New on the European Data Compliance Network EUDCN's Knowledge Sharing Portal! 🎉 We are happy to present on our knowledge sharing portal a Speaker's page of Rob van der Veer, pioneer and veteran in AI, security, and software engineering. He shares his selection of AI Security resources. Link in the comments Remember we have published one of Rob's post not long ago on our LinkedIn page? It was the one about OWASP AI Exchange (owaspai.org) adopted for the security standardization request by the European Commission. #ai #aisecurity #future #infosec #eudcn