Govern every model, agent,
and decision they make.
Track every model and agent through approval, deployment, monitoring, and retirement on one stack, with the audit trail your examiner can read end to end.
GOVERNANCE CONTROLS
Govern every model and every agent from one control plane.
Every control applies uniformly across scoring models and AI agents.
Score Explainability
Decompose every ML score into feature contributions and log every agent decision with prompt, context, tool calls, and confidence.
Fairness-Constrained Training
Set fairness constraints at training time and monitor bias across the segments you define.
Drift Detection
Track score and feature drift in real time with PSI, KS, and concept-drift monitors that alert on threshold breach.
Immutable Audit Trail
Hash and log every model version, training run, agent prompt, input, and output for full traceability.
Agent Risk Tiering
Tier every agent by risk so critical actions get full validation and lighter agents get proportionate oversight.
Approval Workflows
Gate every model promotion and agent deployment with Model Risk, InfoSec, Privacy, and Compliance sign-off recorded on the artifact.
Regulatory Mapping
Map every control to your governance framework and route every validation report through model-risk sign-off.
Runtime Containment
Pin model versions, tokenize PII at the inference gateway, and roll back automatically on degradation.
GENAI RISK CONTAINMENT
Contain the failure modes that break GenAI in production.
Hallucination
Require grounded retrieval and keep free-form generation out of any regulated decision.
Prompt injection
Strip embedded instructions from every input and run tool calls from a fixed allowlist that user input cannot change.
Jailbreak
Block, log, and route for review any output that violates the policy classifiers inside the agent constrained shell.
Data exfiltration
Tokenize sensitive inputs at the inference gateway and block any response that returns PII, logging the context that crossed the perimeter.
See what AI governance ships on day one.
Govern these capabilities under the same controls.
Every AI capability on the stack inherits the same approval lifecycle, audit trail, and runtime containment.
AI & ML Models
Govern every supervised, anomaly, graph, and sequence model on one approval and monitoring lifecycle.
Learn more →AI Agents
Tier every agent by risk, log every decision, and pin every model version inside a constrained policy shell.
Learn more →Scenarios Engine
Hold human-authored detection logic to the same versioning, approval, and audit standard as model and agent outputs.
Learn more →Investigation & Reporting
Feed the audit lineage from every model, agent, and scenario directly into the case file and regulatory report.
Learn more →