AWS AI Security Framework sets a baseline for agent authority
The AWS AI Security Framework separates answering, connected, and acting AI, making agent identity, tool authorization, and observability the new security baseline.
Vulnerabilities, prompt injection, model safeguards, and containment design.
The AWS AI Security Framework separates answering, connected, and acting AI, making agent identity, tool authorization, and observability the new security baseline.
OpenAI’s Codex Windows sandbox design shows that local coding agent security is now an OS boundary problem, not only a model safety problem.
OpenAI Daybreak connects GPT-5.5-Cyber and Codex Security to vulnerability discovery, patch validation, detection, and audit evidence.
Endor Labs expanded AURI with Agent Governance and Package Firewall, shifting AI coding security from code review to runtime control.
OpenAI published GPT-5.5-Cyber and Codex safety practices back to back. The coding-agent race is shifting from model quality to permissions, sandboxing, and audit logs.
Four CrewAI CVEs chain prompt injection into sandbox escape, RCE, SSRF, and arbitrary file reads, showing why AI agent frameworks need fail-closed security.