Secure On-Premise Compliance AI for Audit-Ready Regulated Firms

Self-hosting puts the data path and the audit log under the firm's own controls, and the firm's security team still owns the rest: SSO and RBAC, key management for the audit log, SIEM integration, model-update governance and quarterly penetration testing. The engagement delivers the runbook and infrastructure-as-code for each layer of that review. The audit log is hash-chained and tamper-evident, with signing keys held in the firm's HSM, and each entry captures the prompt, retrieved context, model output, reviewer edits, routing decision and citations. It streams to the SIEM in real time and is written to write-once storage for the retention window. For 21 CFR Part 11 environments, the engagement adds the electronic-signature workflow and IQ/OQ/PQ validation evidence.

The standard policy library maps FFIEC IT Examination, OCC heightened standards, FDIC third-party risk guidance, the NAIC Model Audit Rule and Market Conduct, the HIPAA Privacy Rule, the proposed HIPAA Security Rule update (final action now projected for July 2027), the 21st Century Cures Act information-blocking rule, 21 CFR Part 11, FDA Computer Software Assurance, SOX 404, ISO 27001, SOC 2, NIST CSF 2.0 and GDPR. For the AI system itself, it maps the NIST AI Risk Management Framework (AI RMF 1.0), voluntary NIST guidance for governing, mapping, measuring and managing AI risk. NIST is turning that guidance into SP 800-53 control overlays through its COSIS project (formerly COSAiS), which published a concept paper on August 14, 2025 and an annotated outline for the predictive-AI overlay on January 8, 2026. AI RMF functions map to the same policy-library objects as FFIEC or NAIC controls, so the AI layer sits inside the audit trail, and compliance teams extend the library directly.

Vanta, Drata, LogicGate, Hyperproof and Optro (formerly AuditBoard) are built for the SOC 2 and ISO 27001 use case, and they keep the policy library and evidence in the vendor's multi-tenant cloud, which suits the firms they serve. Federally insured banks, state-regulated insurers, HIPAA-covered health systems and life-sciences sponsors under 21 CFR Part 11 answer examiner questions about where the evidence and audit trail live. A self-hosted compliance AI layer answers them from the firm's own infrastructure. A firm can keep its GRC platform for the SOC 2 evidence track and run AI over its regulated workspaces on the self-hosted stack.

Cost depends on the frameworks in scope, the number of workspaces, the evidence sources and GRC integrations to connect and the GPUs the on-premise models need. The self-hosted AI layer is a one-time build (policy library, integrations, audit log and examiner workspace) plus hosting or GPU costs and an optional flat managed retainer, so costs stay steady as the firm adds users and workspaces. The firm keeps its existing compliance tooling, and a strategy session sizes the build for its framework set.

Target: two quarters for a regulated firm adding the AI layer to one compliance workspace, with one quarter for framework assessment and policy-library design and one to deploy and integrate SSO, the SIEM, the GRC platform, the on-premise model, the evidence vault and the examiner workspace. An ongoing managed track then covers continuous regulatory monitoring, control testing and model upgrades. Firms with several workspaces, such as banking, insurance and healthcare under one holding company or a sponsor and CRO in one life-sciences program, ship them in sequence against the framework calendar. Every engagement includes the launch playbook, so the firm can take the stack in-house at the end of the build.