Article 9
Risk management system
What it requires
Continuous risk identification + mitigation throughout AI lifecycle
How AgentShield covers it
Risk scoring on every agent response. Severity classification. Alerts.
AI Act readiness check.
Fines up to EUR 40M or 7% of global revenue. The 5 articles that matter for AI agents in production:
Article 10
Data governance
What it requires
Training & inference data must be relevant, representative, free of errors
How AgentShield covers it
Logged inputs + outputs queryable for governance audits.
Article 12
Record-keeping
What it requires
Automatic recording of events over the full operational lifetime, tamper-evident
How AgentShield covers it
Auto trace every call. Append-only logs. Encrypted at rest. Audit-ready exports.
Article 13
Transparency
What it requires
Users must know when they interact with AI; system outputs must be explainable
How AgentShield covers it
Risk classification visible per call. Reason field on every alert.
Article 14
Human oversight
What it requires
Humans must be able to intervene and override AI decisions
How AgentShield covers it
Approval webhooks + check_guardrails() blocking before execution.
Quick self-assessment.
Answer honestly. If you say "no" or "not sure" to any of these, you have a compliance gap.
01
Can you produce a tamper-evident log of every AI agent decision in your production system over the last 6 months?
02
Can a non-technical auditor query your logs to find out why a specific decision was made?
03
If an agent action fails, do you get an alert before a customer notices?
04
Are agent budgets enforced — i.e., can a runaway loop cost you nothing more than a configurable cap?
05
Do your agents have pre-execution checks that can block dangerous actions?
AgentShield answers yes to all 5 with 9 lines of code.
Get audit-ready in an afternoon.
Sign up free, integrate the SDK, and start collecting compliant logs today. The countdown is real.