Written Policies Don't Stop AI Decisions. Enforced Policies Do.
Every risk, every control, and every policy connected to the AI decisions they govern, with the right control firing before a decision executes.
How a Risk Decision Travels Through the Trust Layer
From policy boundary to post-execution audit, every stage governs the next.
Risk Policies
Guardrails & corporate guidelines evaluated at the entry boundary
Secure Control Plane
Continuous inspection, token sanitization, and safety checks
Adaptive Agent Routing
Master orchestration with conditional sub-agent delegation
Policy Lineage
Full forensic provenance of the runtime decision path
Post-Execution Assessment
Integrity check, trust score update, and audit output
Risk Policies
Policy-as-Code, Evaluated at AI Speed.
Define governance policies as structured, machine-readable rules tied directly to risk objects, data assets, and AI agents, and enforce them in real time.
Every rule, unambiguous and machine-enforceable.
Each policy has a clear trigger, a linked risk, and a defined action. No interpretation gaps between governance and operations.
Policies fire before the decision executes.
Evaluated at runtime. Block, escalate, or alert before harm, not after audit.
One rule, every condition that matters.
Combine data quality, model confidence, trust scores, and regulatory checks in a single policy.
Operations, oversight, and audit, structurally connected.
The three-lines-of-defense model implemented as infrastructure, not documentation.
Active Policies
| Policy Name | Linked Risk | Status | Last Fired |
|---|---|---|---|
| pii_protection_v3 | Data Exposure | active | 8 min ago: Policy 'pii_protection_v3' fired on Support Bot output |
| lending_decision_threshold | Credit Risk | active | 11 min ago |
| model_confidence_floor | Decision Quality | active | 23 min ago |
| gdpr_consent_check | Privacy | monitoring | 1 hr ago |
| agent_rate_limit | Operational Risk | active | 4 min ago |
May 28 · v2.4 published by Risk Team — confidence threshold raised to 0.85
May 12 · v2.3 published by Risk Team — added EU jurisdiction scope
Apr 30 · v2.2 published by Compliance — added human-review trigger
Apr 15 · v2.1 published by Risk Team — initial multi-condition rule
Apr 02 · v1.0 published by Risk Team — baseline credit policy
Policy Lineage
Every Enforcement Action, Fully Traceable.
Trace every policy from the moment it was defined, through every version, to every decision it has evaluated, with full evidence of when, where, and why it fired.
Every policy change, fully accountable.
Who changed it, when, and why. Every version auditable on demand.
Every time a policy fired, recorded with full context.
The decision it ran against, the data it considered, and the action it took.
See exactly what each policy governs, and where it doesn't.
Coverage gaps surface automatically, before they become audit findings.
Risk Assessment
Your Risk Framework Belongs in a Graph. Not a Spreadsheet.
Model your entire enterprise risk landscape as connected objects (risks, controls, assets, policies, and decisions) so when something changes anywhere, the impact is visible everywhere.
Risks, controls, and assets you can navigate, not just list."
A live graph of how your risk landscape actually fits together. Spreadsheets retired.
See what every control protects, and where coverage breaks down.
Each control maps to the risks it mitigates and the assets it protects. Gaps detected automatically.
Impact Propagation
When something changes, see what it affects, instantly.
The EU AI Act doesn't ask if you have policies. It asks if they fire.
AI Risk Engine is the infrastructure that turns governance into evidence.