WALDO
The governance layer. AI policy enforcement, compliance monitoring, data classification, and audit trail for everything the platform does.
Your policies, enforced and recorded.
Policy enforcement
Organization-defined rules applied to every request, agent action, and data access across the platform. You write the policy; WALDO applies it uniformly.
Continuous compliance monitoring
Posture measured continuously against the frameworks you select, with gaps surfaced as they open rather than at the next assessment.
Data classification in the path
Classification labels from the Library of Alexandria are honored at execution time: sensitive data routes only to approved models and destinations.
Complete audit trail
Every prompt, response, agent action, and policy decision logged in structured form and exportable to your SIEM. Deleting a record requires a written reason.
Trust scoring, 0-1000
Every registered component carries a penalty-based trust score. Current platform average across production deployments: 928/1000.
Drift detection
Continuous comparison against approved baselines. Configuration drift surfaces as a score change, not a surprise in an audit.
| Framework | What WALDO provides |
|---|---|
| NIST AI RMF | Govern, Map, Measure, Manage: policy enforcement, component registry, trust scores, drift detection |
| SOC 2 / ISO 27001 | Access control evidence, audit logging, change tracking |
| GDPR / privacy law | Classification-aware routing, data-handling records, erasure support via the data layer |
| Sector rules | Your regulator's requirements, expressed as enforced policy rather than documented intent |
Bring your policy manual.
A briefing shows your written rules becoming enforced configuration.