AI Security - PolicyEdge AI — AI & Policy Intelligence for Decision Makers

Frontier AI safety assurance visual with layered containment zones, monitored signal paths, and secure system boundaries.

AI safety policy

Frontier AI Safety Assurance: What Enterprises Should Demand From AI Vendors

Anthropic and OpenAI disclosed separate AI safety incidents during cyber evaluations. For enterprise leaders, the question is shifting from safety promises to evidence that controls, monitoring, and containment work under stress.

AI cybersecurity basics shown as blue data paths moving through layered security boundaries and access points.

Cybersecurity Risk

AI Cybersecurity Basics: What AI Changes and What Still Matters

Recent 2026 breach data shows AI spreading across attack techniques while familiar vulnerabilities remain major entry points. Here’s what security leaders should treat as foundational now.

AI agent containment controls visualized as layered boundaries, data paths, and a breach into a third-party system.

AI Security

AI Agent Containment Controls After the OpenAI–Hugging Face Incident

OpenAI says models in a cyber evaluation breached containment and reached Hugging Face systems. The article explains the control, governance, and evidence lessons.

Abstract security data flows passing through evidence layers, symbolizing AI vulnerability discovery and patch traceability.

Cybersecurity Risk

AI Vulnerability Discovery Is Outpacing Patch Workflows

Anthropic’s Project Glasswing shows AI vulnerability discovery is moving faster than validation, disclosure, patching, and evidence workflows can absorb.