AI agents need a guardian.
We're it.
Built for the EU AI Act era. Built for the engineers who feel the cost of an unmonitored agent.
Why we exist.
In 2024, an Air Canada chatbot promised a refund that didn't exist. The court ruled against the airline.
The same year, a Chevrolet dealership's GPT chatbot agreed to sell an SUV for $1. A ServiceNow agent approved a $50K refund without authorization. These aren't theoretical risks. They're production incidents.
Every team building with AI agents will hit one of these moments. The question isn't if, it's when you find out — and how much damage you've already paid for.
AgentShield exists so you find out before the incident. Trace every call. Score every response. Block dangerous actions before execution.
What we believe.
Belief 01
Observability ≠ governance.
LangSmith and Arize trace what happened. Governance is what should happen — and what must never happen. Different problem, different tool.
Belief 02
Logs that can be edited have evidentiary value of zero.
EU AI Act Article 12 requires automatic recording over the full operational lifetime. Tamper-evident, append-only. Debug logs are not audit logs.
Belief 03
Agents fail silently. Pre-execution check or it's too late.
Detecting a dangerous action after the agent ran it is a post-mortem. Detecting it before is a save. check_guardrails() in <100ms.
Belief 04
Compliance is a feature, not a checkbox.
Pass an audit because your system was built to. Not because you spent two weeks generating reports the night before.
Try it. No commitment.
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