The Case for Deterministic AI Agent Policies
AI agents decide probabilistically, but safety constraints shouldn't. Why deterministic policy enforcement outside the model produces more reliable agent systems.
thought-leadership security policy-enforcement
MCP Security: Why Prompt Guardrails Aren't Enough
Prompt guardrails for MCP agents are bypassable and unauditable. Why deterministic policy enforcement at the transport layer is the real security primitive.
security mcp thought-leadership
What Happens When Your AI Agent Goes Rogue
What happens when your AI agent goes rogue? Six failure modes — runaway loops, spending spirals, destructive ops — and the deterministic policies that stop them.
security mcp failure-modes