AI Agent Observability - Monitor Every Agent Action Live
A black-box agent is a liability. Agentshield turns every agent into a readable stream of actions you can watch, alert on, and trust in real time.
Direct answer
AI agent observability is the ability to see what an autonomous agent is doing as it does it: every tool call, data access, decision, and outcome. Agentshield provides real-time agent monitoring across your whole fleet, streaming each action with its policy verdict, so you can spot anomalies, set alerts on risky patterns, and answer what an agent did at any moment. Observability is the difference between trusting an agent and hoping it behaves.
Every action, live
Watch tool calls, data reads and writes, and verdicts stream in real time, per agent and across the fleet, not after the fact in a log dump.
Alerts on risk
Set alerts on injection attempts, denied actions, spikes in a tool, or access to sensitive data, so a person hears about it the moment it matters.
Built for incident response
When something goes wrong, you can replay exactly what the agent did, which input triggered it, and what was blocked.
Where it is used
Agent monitoring in the field.
AI gateway
An AI gateway is the single point every agent request passes through. Make it the place you enforce security: inspect inputs, gate tools, watch actions, and log everything.
Read more →RAG security
Your RAG pipeline retrieves untrusted documents and feeds them to the model. That is an injection vector. Secure it by inspecting retrieved content before the agent acts on it.
Read more →MCP server security
MCP lets agents call external tools, and a poisoned tool output can hijack the agent. Agentshield inspects MCP traffic and enforces which servers and tools each agent may use.
Read more →AI agent governance
Governance is not a document, it is enforcement. Agentshield turns your agent policy into runtime controls and an audit trail that proves the rules were followed.
Read more →