AI Agents

Two Postures on the Agent Call Path

Two postures. Detect above the path. A control watches behavior and flags what looks wrong. Enforce on the path. A control sits inline, in the request itself. One tells you what happened. The other decides whether it happens.

Mythos, Daybreak, and the System Around the Model

A restricted frontier model leaked into a proxy this week before its evaluation finished. It raises the question two cyber systems already posed: is the capability the model, or the system around it? On offense, mostly the system. On defense, that answer is where the moat sits.

The CISO's Guide to Runtime Governance for AI Agents

Agent of an Agent

When an agent spawns another agent, the authority chain gets longer and the audit trail gets thinner. The runtime layer is the only place that can prove what actually happened at the end of the chain.

The Trust Fabric: A four-layer architecture for governing AI agents

The Trust Fabric, a four-layer architecture for governing AI agents

Cisco Told the World AI Must Be Governable. Here Is What That Actually Requires.

The Agent-to-Agent Future: Why A2A Protocol Governance Can't Be an Afterthought

As AI agents start talking to each other, the governance surface area expands exponentially. Most enterprises aren't ready.

OpenClaw and the First AI Agent Security Crisis: Lessons for Enterprise MCP Governance

The viral AI agent's security vulnerabilities are a preview of what happens when agent deployment outpaces governance.

What the MCP Protocol Anniversary Means for Enterprise AI Security

The Model Context Protocol turns one year old with a major spec update. Here's what enterprise security teams need to know.