Introduction
AxioRank is the firewall between AI agents and your enterprise tools.
AxioRank is a security gateway that sits between autonomous AI agents and the enterprise tools they reach for. Every action an agent takes — a tool call, an outbound payment card, an MCP or A2A message — passes through AxioRank, where it is inspected, scored, and then allowed or denied, with any secrets in the payload redacted before it's logged.
Who this is for
Platform and security teams deploying AI agents against real systems who need a single, auditable control point in front of every action an agent takes.
The firewall model
Agents are fast, capable, and easily manipulated. A prompt-injected agent will exfiltrate a secret or fire a destructive command as readily as it completes the task you asked for. AxioRank treats every agent action as untrusted by default and applies the same posture a network firewall applies to packets:
- Intercept — the agent's request is routed through the gateway instead of hitting the tool directly.
- Inspect — the payload is scanned for secrets, PII, destructive operations, and injection attempts.
- Decide — a risk score and the active policy determine the verdict: allow, deny, or hold for human approval.
- Record — every decision is logged with the signals that produced it, so the trail is auditable after the fact.
Core capabilities
- Content inspection — payload-aware detection of secrets, PII, destructive actions, and prompt injection, with write-time redaction. See Content-inspection engine.
- Protocol adapters — interoperability with the agent ecosystem (MCP, A2A) and outbound controls such as card preflight. See Protocol adapters.
- Risk scoring & policies — signals roll up into a score; policies turn the score into an enforceable verdict per agent, tool, and property.
Next steps
- Getting started — wire an agent through the gateway.
- Content-inspection engine — how payloads are scored.
- Protocol adapters — the agent-interop surface.