WALDO
Weighted Assessment of Lifecycle Drift Oversight. The meta-governance layer: visibility, compliance monitoring, trust scoring, and drift detection across every AI component in the organization, wherever it runs.
Nobody is watching the watchers.
Platform controls govern the AI you deployed on purpose. Nothing in the standard stack answers for the whole ecosystem over time.
You cannot govern what you cannot list.
AI components accumulate across teams, clouds, and vendors with no register. The honest answer to how many AI systems do we run is a range, not a number.
The review green-lights a moment, not a system.
Models get swapped, prompts get edited, configs get tuned. The system in production six months after approval is not the system that was approved, and nothing flags the difference.
The audit is stale the day the assessor leaves.
Point-in-time assessments describe one Tuesday. Between audits, posture is a matter of faith, and evidence is reassembled by hand under deadline every cycle.
Three outcomes. Here is how WALDO delivers them.
Faster compliance
Complete visibility
Automated management
Oversight for the whole ecosystem, not one platform.
Component registry
Every governed AI component registered with classification, ownership, risk tier, and status. One inventory of the whole ecosystem.
Trust scores, 0-1000
Per-component scores with penalties for policy violations, drift events, and compliance gaps. Immediate visibility into what needs attention.
Drift detection
Continuous comparison against approved baselines. Configuration drift surfaces as a score change, not a surprise in an audit.
Real-time telemetry
Session events, routing traces, and full execution traces with intent scoring. Deleting a telemetry event requires a written reason.
Classification-based routing
Data classification schemes that map to government hierarchies, with match rules that classify automatically on keyword patterns.
Single pane of glass
Ecosystem health, pending reviews, trust posture, and compliance status in one governance dashboard.
| Classification | Routing target | Rationale |
|---|---|---|
| Unclassified (U) | SaaS · cloud models | Unclassified data safe for cloud processing |
| CUI | SMK Local · on-prem | CUI requires on-premises processing |
| Secret (S) | SMK Local · on-prem | Secret data must stay on local infrastructure |
| Top Secret (TS) | SMK Enclave · air-gapped | Top Secret requires air-gapped enclave processing |
Know the trust posture of every AI system you run.
Request a briefing and see the governance dashboard against a live component registry.