Defense and governance

AI agent security gateway

An AI agent security gateway sits on the boundary between an agent and its tools, scoring, enforcing policy on, and recording every tool call.

Also called: agent security gateway, agent control plane

Definition

What is an AI agent security gateway?

An AI agent security gateway is a control point placed where an agent's decisions become actions. Every tool call the agent makes passes through it, where the call is scored for risk (leaked secrets, personal data, destructive operations, prompt injection), checked against policy, and either allowed, held for a human, or blocked. The same gateway writes each decision to a tamper-evident audit log.

The gateway model works because it does not depend on the model behaving. Even when an agent is prompt-injected or jailbroken, the harmful action still has to pass the boundary, where it can be caught on the concrete arguments of the call. This turns agent security from a hope about model alignment into an enforceable property of the system, and produces the evidence trail that governance and compliance require.

FAQ

Common questions.

Why govern the tool boundary instead of the model?

Model behavior is probabilistic and can be manipulated. The tool boundary is deterministic: every action must pass through it, so you can inspect the real arguments and enforce policy there regardless of whether the model was fooled.

What does a security gateway record?

Each tool call, the risk signals found, the policy decision (allow, hold, or deny), and the outcome, written to a tamper-evident log that can be verified later for audits and incident response.

Govern the actions, not just the vocabulary

AxioRank scores every tool call your agents make for leaked secrets, PII, destructive operations, and prompt injection, checks it against your policy, and proves it in a tamper-evident audit log. Start free, no card.