Traditional IT governance doesn’t work for AI. Static policies can’t handle systems that learn, adapt, and take autonomous action.
Zentinelle applies control theory to AI governance:
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CONTROL LOOP
(Zentinelle GRC)
Observability — See every input, output, decision, and data access. You can’t control what you can’t measure.
Controllability — Policy gates that enforce boundaries in real-time. Rate limits, budget caps, model restrictions, tool permissions.
Feedback — Anomaly detection, drift monitoring, and auto-remediation. Close the loop.
| ID | Agent ID | Policy Type | Severity | Timestamp | Status |
|---|---|---|---|---|---|
| V-2847 | agent-prod-42 | Budget Limit | Critical | 2024-12-23 14:32 | Active |
| V-2846 | agent-dev-18 | Data Access | Critical | 2024-12-23 13:15 | Resolved |
| V-2845 | agent-prod-31 | Rate Limit | Warning | 2024-12-23 12:48 | Resolved |
| V-2844 | agent-prod-07 | PII Detection | Critical | 2024-12-23 11:22 | Active |
| V-2843 | agent-staging-05 | Model Restriction | Warning | 2024-12-23 10:55 | Resolved |
| V-2842 | agent-prod-42 | Tool Permission | Warning | 2024-12-23 09:33 | Resolved |
| V-2841 | agent-dev-22 | Content Filter | Warning | 2024-12-23 08:17 | Resolved |
Your AI agents make decisions. They access data. They take actions. They’re dynamic systems with emergent behavior.
Zentinelle treats them that way:
- State observation — Full telemetry on agent behavior
- Control inputs — Policies that constrain the action space
- Feedback signals — Metrics that detect drift and anomalies
- Control law — Rules that adjust boundaries based on observed state
This is how you govern systems that think.
Governance
Policy Management — 18+ policy types with inheritance (Org → Team → Deployment → User)
Secrets Management — Centralized credentials. No API keys in code.
Content Scanning — PII detection, toxicity filters, prompt injection blocking.
Risk Management
Risk Register — AI-specific risks cataloged and tracked
Anomaly Detection — Behavioral baselines with drift detection
Incident Management — Policy violations tracked to resolution
Compliance
9 Frameworks — SOC 2, GDPR, HIPAA, EU AI Act, NIST AI RMF, ISO 27001/42001
Control Mapping — Policies mapped to framework requirements
Audit Reporting — Evidence packages for auditors
The foundation: you can’t control what you can’t see.
Full telemetry — Every prompt, response, tool call, data access, policy decision logged.
Real-time dashboards — Usage patterns, cost tracking, policy violations, anomalies.
SIEM integration — Feed AI events to Splunk, Datadog, your existing security stack.
Retention & archival — Configurable retention. Legal holds. Cold storage for compliance.
Zentinelle gives you the GRC infrastructure AI systems require — observability, controllability, and feedback loops that keep autonomous systems under control.
