Real-Time Policy Monitoring for AI Agents
Operations teams monitoring live AI agent behavior against policy constraints and catching violations as they happen.
Le problème
Corules enforces policy synchronously in the critical path — not asynchronously after the fact. Every decision is evaluated before execution. The audit ledger streams decision events in real time, enabling operations dashboards to show: current violation rates, escalation volumes, policy threshold breaches, and agent behavior patterns. Anomalies surface immediately rather than in the next audit cycle.
Comment Corules le résout
Corules's policy runtime evaluates structured context against compiled CEL expressions — returning ALLOW, BLOCK, or ESCALATE with a reason and audit ID.
Exemple de politique
// Real-time metrics from audit stream:
{
"last_60_min": {
"evaluations": 1847,
"allow": 1642,
"block": 89,
"escalate": 116,
"block_rate_pct": 4.8,
"top_violation": "discount_pct > max_discount_by_tier"
}
}Frequently Asked Questions
Can I alert on spike in block rate?
Yes. The audit stream can trigger webhooks on threshold breaches (e.g., block rate > 10% in last 15 minutes). Integrates with PagerDuty, Slack, or any webhook consumer.