Powered by the KoraSafe Enforcement agent and its fleet of Guardian agents: KoraSafe PII Sentinel, KoraSafe Bias Watchdog, KoraSafe Hallucination Detector, KoraSafe Cost Monitor, and KoraSafe Autonomy Governor. Every violation tracked, every action timestamped, every resolution auditable.
From input filtering to emergency circuit breakers, each policy type addresses a distinct enforcement need. Compose them together for defense-in-depth coverage.
Every policy follows a strict lifecycle path. Transitions are logged with timestamps and admin identity. Policies cannot skip states, ensuring full auditability.
Every policy violation is captured with full context. Filter by severity and status, then resolve through an admin workflow with a complete audit trail.
When a Guardian agent detects a violation, it triggers the appropriate policy automatically. Every step is logged for regulatory evidence.
Blocks or sanitizes inputs before they reach the AI model. Use input filters to strip PII, remove prompt injection attempts, or enforce content policies on user-submitted text before the model ever processes it.
Scans model outputs against defined rules before returning them to the user. Output filters catch leaked credentials, toxic language, or responses that violate your organization's content guidelines, and either redact or block the response entirely.
Routes high-risk actions to a human reviewer with configurable routing rules. You define which actions require approval, who the approvers are, and what escalation paths apply when approvers are unavailable. The AI system pauses until a human explicitly approves or rejects.
Automatically disables an AI system when error rates or violation counts exceed thresholds you set. Circuit breakers act as an emergency kill switch, shutting down a misbehaving system before it causes further harm, then alerting the operations team to investigate.
A second LLM evaluates whether outputs meet governance criteria. This approach catches nuanced policy violations that regex-based filters miss, such as subtle bias, misleading framing, or responses that are technically accurate but contextually inappropriate.
Blocks deployment when a system's compliance score falls below a threshold you configure. Pre-deployment gates integrate into your CI/CD pipeline and prevent non-compliant AI systems from reaching production, regardless of who pushes the code.
Throttles request volume per user, per system, or per API key. Rate limiting prevents abuse, controls costs, and ensures fair access across teams. You set the thresholds, and the policy engine enforces them automatically with configurable response behavior for throttled requests.