Evidence Integrity for AI Procurement
Produce tamper-evident, chain-of-custody evidence artifacts and deterministic mappings for OMB M-25-21, EO 14179, NYC AEDT §20-871, and CA AB 3030—so reviews move forward with verifiable proof, not narrative.
CORE CAPABILITIES
One mission: produce procurement-grade, tamper-evident evidence packages for regulated deployment.
Procurement Readiness Evidence Layer
- Deterministic mapping of evidence to procurement-recognized requirements language for OMB M-25-21, EO 14179, NYC AEDT §20-871, and CA AB 3030. Produces an ATO Readiness Baseline package: Evidence Inventory, Mapping Summary, Gap Register, and Ordered Remediation Plan.
Assurance Kernel: Evidence Hub + Traceability
- Evidence intake with AI-proposed mappings and human verification/lock workflow. Chain-of-custody artifacts supported by an append-only audit ledger and proof hashes for tamper-evident review. Tenant isolation enforced via Postgres Row Level Security (RLS).
Healthcare Readiness (US)
- Deterministic evidence mapping for CA AB 3030 (Healthcare GenAI) requirements with chain-of-custody artifacts and mapped gap outputs for review workflows.
Architected for High-Assurance Environments
Target Deployment Environments
Federal Contractors (Procurement Reviews)
Regulated Healthcare (Evidence Readiness)
Enterprise AI (Governance & Review)
DELIVERABLES MATRIX
Procurement-Grade Evidence Package Generation
Ordered Remediation Sequence (What to Fix First)
Procurement Review Cycle Acceleration (ATO Readiness)
Defensible Security Posture for Federal Procurement