About Agent Bridle

Agent Bridle builds the control layer that teams put between their AI agents and the model providers those agents call. Companies are shipping autonomous agents faster than anyone can review them. An agent can loop and burn a month of budget in an afternoon, be talked into leaking data by a crafted input, or take an irreversible action while nobody is watching. Bridle exists to make that safe without slowing the agents down.

The product is a gateway. You point an agent's OpenAI, Anthropic, or Gemini calls at Bridle and change nothing else. From that point on, every call is metered against a per run dollar budget with a mid run kill switch, logged against a named agent identity in a tamper-evident audit trail, scored for prompt injection and data exfiltration, and, when an action is risky, held for a named human to approve. All of it is exportable as evidence mapped to the EU AI Act articles a security review or auditor asks about.

Why we built it

Observability tools can watch an agent and tell you what happened. They cannot stop anything, because they are not in the path. Bridle sits in the request path, so it can enforce as well as observe. That difference, between a report and a control, is the whole company. We think the teams who win with agents will be the ones who can prove, at any moment, what their agents did and that nothing was altered after the fact.

Where we are

Bridle is in private beta, onboarding a small group of teams. If you run agents in production and your security team has questions you cannot yet answer, we would like to talk. Reach us at contact@agentbridle.com.