Agent Control Fabric
Learn why human IAM and API gateways do not compose cleanly for autonomous systems, and what a purpose-built control fabric for agents requires.
Architecture breakdowns, technical guides, research notes, and company updates from a team pushing the frontier of agent security.
Built for the people responsible for making AI safe in production, engineering, security, IT, and GRC teams. No marketing fluff.

AI security now depends on three control planes: content inspection, tool brokering, and runtime authorization. The problem is not whether your stack has all three. It’s whether they operate as one decision path, sharing identity, detection signals, policy state, and delegation context in real time.
Read the article →
Highflame and Tailscale Aperture now enable real-time AI traffic enforcement at the network layer, helping teams detect, govern, and block risky LLM requests before they reach model providers.
Read the article →
Description: AI agents do not always fail with a crash. They drift. Learn why Step 1 testing and passive observability cannot stop Mission Drift, and how Highflame Compass provides runtime enforcement to keep autonomous agents aligned through Step 100.
Read the article →Cryptographically verifiable agent identities, explicit delegation chains, and auditable authorization.
Real-time AI security evaluation at the network layer via Aperture's LLM traffic proxy, with no code changes.
Joining CoSAI to help organizations deliver AI outcomes safely, at scale.
Press release announcing MCP Security at the Model Context Protocol layer.
Learn why human IAM and API gateways do not compose cleanly for autonomous systems, and what a purpose-built control fabric for agents requires.
A technical guide to securing agent and sub-agent identity with cryptographic credentials, delegated authority, scoped access, and sender-constrained tokens.
If you have a specific question about how Highflame works in your environment, the fastest answer comes from talking to the team.