Interoperability & Integration Bridges

The AI Governance and Evidence Infrastructure (AGEI) is designed to act as an independent, portable verification layer. It does not replace your existing developer, monitoring, security, or compliance tools. Instead, it bridges their data to provide a unified, tamper-evident proof trail across organizational silos.

Bridge Mappings

1. MLOps & Model Registries (e.g., MLflow, Kubeflow, SageMaker)

  • Their Primary Job: Build, evaluate, promote, and deploy model artifacts.
  • The AGEI Bridge: When an MLOps pipeline completes a step, it calls the AGEI API to submit the event metadata and artifact content hashes. AGEI evaluates the promotion against versioned policies, triggers the validation gates, issues signed receipts, and maps model-to-data lineage in ai_lifecycle_objects.

2. Observability & SIEM (e.g., OpenTelemetry, Splunk, Datadog)

  • Their Primary Job: Monitor system behavior, application traces, real-time metrics, and security logs.
  • The AGEI Bridge: SIEM logs represent "telemetry." AGEI captures selected, high-value governance events (like an agent initiating an external transaction) and converts them into signed, linked, and tamper-evident records. In addition, security telemetry can feed Shadow AI Discovery Signals into shadow_ai_discovery_records for automated risk classification.

3. GRC Platforms (e.g., Archer, ServiceNow, Vanta)

  • Their Primary Job: Define high-level compliance policies, organizational risk matrices, and control obligations.
  • The AGEI Bridge: GRC tools document intent. AGEI operationalizes these policies by storing versioned rules in policy_rules, executing them as code, and emitting receipts proving that those controls actually operated at runtime.

4. IAM & Privilege Management (e.g., Okta, CyberArk)

  • Their Primary Job: Authenticate identity and delegate access permissions.
  • The AGEI Bridge: Traditional IAM grants access. AGEI governs institutional authority (e.g., what an AI is allowed to decide or change). It records principal identity, delegation chains, and JIT elevation events, verifying the pre-action proof bundle before allowing high-risk tool execution.

5. Data Privacy & Rights Management (e.g., OneTrust)

  • Their Primary Job: Manage lawful basis, user consent, and data subject requests (erasure, access).
  • The AGEI Bridge: Privacy actions are captured as evidence-bearing events linked to consent_records and privacy_redaction_events. This ensures that data minimization or redaction can be cryptographically proven under audit without over-retaining raw personal data.