#LLM Security
9 articles with this tag
Snyk CTO: AI Security is Mission-Critical
Snyk CTO Manoj Nair discusses the critical security challenges in AI development, highlighting risks from automated attacks to untrusted agent behavior.
Be Scared: AI Code Security Risks with Steve Yegge
Steve Yegge warns of escalating AI code security risks, including new threats like 'slop squatting,' and urges developers to prioritize security passes.
Distributed Backdoors Undermine LLM Monitors
Distributed backdoors in multi-agent LLMs exploit 'local benignness,' bypassing runtime monitors. Effective defense requires detecting attacks at the compositional representation level.
AI Security Post-Codex & Claude: Kolter & Fredrikson
AI security experts Zico Kolter & Matt Fredrikson discuss the challenges posed by models like Codex & Claude, and Gray Swan's approach to securing AI.
AI Agents & GenAI Security: Devvret Rishi on the Risks
Devvret Rishi discusses how AI agents challenge GenAI security, emphasizing the need for dynamic monitoring and governance.
GitHub's New Game Tests AI Agent Security
GitHub's new Secure Code Game Season 4 challenges developers to hack an AI agent, simulating real-world security risks.
Databricks Tackles Agentic AI Risks
Databricks enhances its AI Security Framework with 35 new risks and 6 controls for autonomous agent deployment, focusing on memory, planning, and tool usage.
Cloudflare Bolsters AI App Defenses
Cloudflare launches AI Security for Apps, offering threat detection and free endpoint discovery for AI applications, with new custom topic features and expanded partnerships.
OWASP Top 10 LLM Risks Explained
Jeff Crume from IBM breaks down the OWASP Top 10 for LLM Applications, highlighting critical security risks like prompt injection and data leakage.