Prompt injection. Data exfiltration. Hallucination cascades. Model drift. Cost explosions. Credential leaks.
Traditional risk frameworks weren’t built for AI. They don’t account for autonomous systems that learn, adapt, and sometimes do things nobody expected.
Zentinelle brings control theory to AI risk. Treat your AI systems like the dynamic systems they are — with observability, controllability, and feedback loops that catch problems before they cascade.
Risk Register
Catalog AI-specific risks. Prompt injection. PII leakage. Hallucination. Cost overrun. Model drift.
Assign owners. Track mitigation. Map to controls. Know your exposure.
Anomaly Detection
Baseline normal behavior. Detect deviations. Alert on:
- Usage spikes (token consumption, API calls)
- Cost anomalies (unexpected spend patterns)
- Latency changes (model performance shifts)
- Error rate increases (failure patterns)
- Behavioral drift (output characteristic changes)
Incident Management
When policies are violated, Zentinelle creates incidents. Track:
- What happened (full context)
- Root cause analysis
- Remediation actions
- SLA tracking
- Post-incident review
Zentinelle gives you the risk management infrastructure AI systems require — built on control theory, not checkbox compliance.
