As AI agents gain access to production systems, security is shifting from code to natural language vulnerabilities. Explore strategies like layered defenses, least privilege, and architectural solutions to mitigate new risks.
Uncover 7 critical AI agent failure modes, from hallucinations to prompt injection, and explore advanced testing strategies to ensure robust, production-ready AI systems. Learn how to address security vulnerabilities and build resilient workflows.
Explore cutting-edge strategies for securing sensitive data when AI agents operate on local machines. Learn about proxy-based access, runtime secret injection, and context scrubbing techniques.
A Hacker News discussion explores whether LLMs and CV models could execute commands hidden in images via steganography, touching on prompt injection, model hallucinations, and AI security.