How it works
How to secure AI agents with a runtime firewall.
Securing an agent is not a one-time scan. AgentShield sits in line on the agent request and action path and runs four steps on every move: intercept, inspect, enforce, record. Here is exactly what happens, and how it fits the wider AI agent hardening checklist.
The request path
Untrusted input
Agent reads
AgentShield
Intercept · Inspect · Enforce · Record
Cleared action
Tool / data
Every instruction the agent reads and every tool call it tries to make passes through AgentShield first. Out-of-policy or injected actions never reach the tool.
Intercept
AgentShield sits in line on the agent request and action path. Every instruction the agent reads and every tool call it tries to make passes through the inspection line first.
Inspect
Each request is scanned for prompt injection, data-loss risk, and policy violations. Untrusted input is treated as untrusted, and the tool, resource, and payload are checked against the rules you wrote.
Enforce
In-policy actions are cleared and proceed. Out-of-policy or injected actions are blocked at execution time. High-risk actions are held for a human to approve or deny. Least-privilege by default.
Record
Every action and decision is written to an immutable, tamper-evident audit trail: who invoked the agent, which tool, which resource, the verdict, and the timestamp. Searchable and exportable to your SIEM.
See it live
Run an attack through the firewall yourself.
The Threat Console on the homepage runs a real prompt injection, a data exfiltration attempt, a destructive tool call, and a clean request, and shows each one inspected, stamped, and logged in real time.
Stack-neutral
No framework rewrite required.
AgentShield is a control plane, not a framework. It drops in front of whatever you already built.