Every layer counts: Defense in depth for AI agents with Red Hat AI

This blog post discusses the challenges of deploying AI agents securely, emphasizing the importance of a defense-in-depth approach to address vulnerabilities introduced by AI technologies. It outlines a six-layer security framework that includes measures such as hardening the platform, isolating execution environments, and ensuring rigorous policy enforcement to guard against potential exploits. The authors share insights on semantic malware and the limitations of traditional security measures, advocating for a more proactive and layered strategy in managing AI agent security.