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, redacted, or blocked.
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, redact-and-allow, or block.
- 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.