Compliance evidence, audit trails, and regulator export packs stay inside the firm’s tenant. Nothing routes through a third-party SaaS.
Regulatory frameworks mapped out of the box — FFIEC, NAIC, HIPAA, and 21 CFR Part 11 — with controls libraries the firm extends, not vendor-owned.
Immutable, hash-chained audit log designed for examiner and SOC review. Streams to the firm’s SIEM in real time.
What compliance teams get from secure AI compliance software
Six outcomes regulated firms see when they move regulatory monitoring, KYC enrichment, and control testing off cloud SaaS and onto a self-hosted AI compliance stack tuned to their frameworks.
Audit Trail Stays In-House
Every prompt, retrieval, and model response is hash-chained and written to a tamper-evident log the firm's auditors and regulators can inspect — never sent to a vendor's multi-tenant cloud.
Framework-Mapped Controls
FFIEC, OCC, FDIC, NAIC Model Audit Rule, HIPAA Privacy + Security Rule, 21 CFR Part 11, SOX 404 and NIST AI RMF mappings ship with the policy library. Compliance teams extend them, not the vendor.
On-Premise AI Inference
Self-hosted Llama, Mistral, Qwen, or domain-tuned models run inside the firm's VPC, on-prem, or air-gapped. Sensitive customer, claims, and PHI data never crosses the perimeter.
Continuous Regulatory Monitoring
Policies, control narratives, exam letters, and SAR queues are watched continuously. Drift, gaps, and new guidance from FFIEC, NAIC, or OCR are surfaced to the compliance team in hours, not quarters.
Per-Framework Access Control
Banking, insurance, healthcare, and life-sciences workspaces are walled off by SSO group. Examiners get a read-only export workspace. Every query is attributed and logged.
Examiner-Ready Export Packs
Single-click signed export bundles for FFIEC exams, NAIC MAR reviews, OCR audits, and FDA submissions. The compliance team controls when evidence leaves the tenant, and to whom.
Why cloud compliance SaaS leaks the evidence regulators care about
Cloud compliance platforms — LogicGate, Hyperproof, Vanta, Drata, AuditBoard and the rest — were built around a workflow that routes the firm’s policy library, control evidence, and audit narratives through the vendor’s multi-tenant environment. That works for an early-stage SaaS chasing SOC 2. It stops working the moment the firm is a federally insured bank, a regulated insurer, a HIPAA-covered health system, or a life-sciences sponsor — because the regulator now asks where the evidence actually lives, who could read it, and whether the audit trail can be modified after the fact.
The pressure is rising. FFIEC, OCC, and FDIC guidance on third-party risk now treats compliance tooling itself as a critical vendor. NAIC’s Model Audit Rule pushes insurers toward stronger internal control over financial reporting. The OCR audit program is scrutinizing how artificial intelligence handles PHI under the HIPAA Privacy Rule and the new Security Rule update. And 21 CFR Part 11 has always required electronic records and signatures to be defensible against tampering — a bar cloud SaaS struggles to meet when the audit log is owned by the vendor, not the sponsor.
A secure AI deployment — policy library, regulatory monitoring, control testing, and audit-log generation — built as one self-hosted pipeline solves the structural problem. The firm gets the workflow benefits of AI compliance automation. The evidence and audit trail never leave the firm’s perimeter. And the model the regulator audits is the model the firm controls.
Architecture: an audit-trail-first secure AI compliance platform
Cloud GRC SaaS routes the audit log through the vendor by default. The self-hosted alternative inverts the diagram — the audit log is the spine, the on-premise LLM is the engine, and the regulator-export interface is the only outbound path. Every artifact the firm relies on at exam time is owned, signed, and stored on the firm’s own infrastructure.
Ingestion accepts the messy reality of the regulated firm — core banking exports, NAIC annual statement attachments, EHR feeds, GxP batch records, prior-year examiner letters, and the policy library itself. The policy library is canonicalized into machine-readable control narratives that the on-premise model can reason over, retrieve from, and cite. Outputs (SAR drafts, control test results, breach risk scoring, 21 CFR Part 11 e-record reviews) are written to the evidence vault and the immutable audit log in parallel — never one without the other. Export to the SOC, the regulator, or the SIEM is signed, parameterized, and rate-limited.
Inside a secure on-premise AI compliance platform — the 8 capabilities the firm gets
Eight capabilities the self-hosted AI compliance stack delivers — every part of the policy library, regulatory monitoring, and audit-trail pipeline running inside the firm’s tenant. Evidence in, signed export packs out, nothing leaves the perimeter without an audit record.
1. Source ingestion across the regulated stack
Core banking exports, NAIC annual statement attachments, claims and policy admin feeds, EHR and revenue-cycle logs, GxP batch records, prior-year examiner letters, vendor SOC 2 reports, and the firm’s existing policy library — parsed, chunked, and normalized into a clean retrieval index the on-premise LLM can reason over. PHI-aware redaction and field-level tokenization are applied before any text touches the model.
2. Canonical policy library and framework crosswalks
Out-of-the-box mappings for FFIEC IT Examination, OCC heightened standards, FDIC third-party risk, NAIC Model Audit Rule, NAIC Market Conduct, HIPAA Privacy Rule, the HIPAA Security Rule update, 21 CFR Part 11, FDA Computer Software Assurance, SOX 404, ISO 27001, SOC 2, and NIST AI RMF. Each control is a structured object the firm extends — the crosswalks are data, not vendor IP.
3. On-premise LLM inference, sized for the firm
Self-hosted Llama, Mistral, Qwen, or domain-tuned models served on vLLM, SGLang, or Ollama on GPUs inside the firm’s perimeter. Hybrid retrieval (BM25 + vector) over the policy library, control evidence, and prior exam responses keeps the model grounded. PHI, NPI, and CSI never leave the tenant during inference.
4. Continuous regulatory monitoring
Watches FFIEC, OCC, FDIC, NAIC, OCR, and FDA publication feeds for new guidance and matches it against the firm’s control library. Drift detection on policies, control narratives, and exam responses. Surface new requirements to the compliance team in hours rather than at the next quarterly review.
5. Grounded, cited compliance outputs
Every SAR draft, ICFR walk-through, breach risk score, or 21 CFR Part 11 e-record review links back to the source policy, control narrative, transaction, or PHI record. The system prompt enforces “answer only from retrieved evidence” and refuses gracefully when the policy library doesn’t support the conclusion. Hallucination risk drops an order of magnitude versus generic LLM outputs.
6. Hash-chained, tamper-evident audit log
Every prompt, retrieval, model output, human edit, citation, and routing decision is recorded in a hash-chained log with signing keys held in the firm’s HSM. The log streams to the firm’s SIEM in real time and is also written to write-once storage for the regulator-facing retention window. This is the artifact the FFIEC, NAIC, OCR, and FDA examiners actually inspect.
7. Air-gapped, on-prem, or VPC deployment
The full AI compliance platform — ingestion, policy library, inference, audit log, evidence vault — runs in the firm’s VPC, on-prem, or fully air-gapped. One Kubernetes namespace or a Docker Compose stack. For air-gapped environments the model serving is paired with self-hosted embeddings so no document, vector, or prompt ever crosses the perimeter.
8. Per-framework access control and examiner workspace
Banking, insurance, healthcare, and life-sciences workspaces are walled off by SSO group membership. Examiners and external auditors get a read-only, time-bounded workspace with their own audit-log namespace. The firm controls when evidence leaves the tenant, to whom, and for how long.
AI compliance software, customized for each regulated vertical
Same secure AI architecture, four distinct policy libraries — banking, insurance, healthcare, and life sciences. The firm picks the workspaces in scope; the audit log treats them as walled-off tenants on a single self-hosted control plane.
Banking — KYC, AML, and FFIEC
- KYC enrichment from public filings, adverse-media, and sanctions sources with citations to every supporting document
- AML transaction monitoring tuned on the bank’s historical SAR set, with hybrid retrieval against typology playbooks
- SAR drafting that pre-fills FinCEN narrative fields and routes for compliance officer review
- FFIEC IT examination evidence packs, OCC heightened-standards documentation, FDIC third-party risk attestations
Insurance — NAIC MAR, fraud, and claims
- NAIC Model Audit Rule controls testing, ICFR walk-throughs, and management assertion drafting
- MAR-aligned control catalog with framework mapping to Sarbanes-Oxley analogs the carrier already runs
- Claims fraud detection with explainable scoring and citation-backed adjuster narratives
- Producer compliance, state filing prep, and market-conduct exam evidence assembly
Healthcare — HIPAA Privacy + Security
- HIPAA Privacy Rule monitoring across EHR, RCM, and patient-portal logs with PHI-aware redaction
- Business Associate Agreement (BAA) compliance scoring and vendor-risk attestation packets
- Breach risk scoring against the OCR audit protocol and the Security Rule update
- 21st Century Cures Act information-blocking review with citation-backed exception logging
Life Sciences — 21 CFR Part 11 and GxP
- 21 CFR Part 11 electronic records and signatures with cryptographically anchored audit trail
- FDA submission prep — eCTD packaging, narrative drafting, and predicate-rule mapping
- GxP audit log review across manufacturing batch records, lab notebooks, and clinical TMF
- Validation evidence (IQ/OQ/PQ) packaged for sponsor and CRO sign-off
Talk to an AI compliance and regulatory monitoring expert
Bring the firm’s framework mix (FFIEC, NAIC MAR, HIPAA, 21 CFR Part 11, SOX, NIST AI RMF), the cloud compliance SaaS in scope to replace, prior-year examiner findings, and current control gaps. The engagement comes back with the right policy library shape, the on-premise model recommendation, and a directional read on which workspaces ship first.
Ask us about
- Self-hosted AI compliance deployment — policy library, monitoring, audit log
- Banking KYC and AML, FFIEC exam evidence, OCC heightened-standards prep
- Insurance NAIC Model Audit Rule, MAR control testing, market-conduct exam
- Healthcare HIPAA Privacy + Security Rule monitoring, BAA compliance
- Life sciences 21 CFR Part 11 e-records, FDA submission prep, GxP audit
- Migration off LogicGate, Hyperproof, Vanta, Drata, AuditBoard
When the firm needs secure AI compliance software, not cloud GRC SaaS
LogicGate, Hyperproof, Vanta, Drata, and AuditBoard cover the median compliance buyer well — a SaaS company chasing SOC 2 or ISO 27001, with a clean policy library and a vendor-hosted everything stance. That’s enough when the regulator is the firm’s own customers asking for an attestation.
But the regulated firm needs things cloud compliance SaaS can’t structurally deliver:
- Policy library, control evidence, and audit log inside the firm’s tenant — never routed through a vendor’s multi-tenant cloud
- FFIEC, OCC, NAIC MAR, HIPAA Security Rule, 21 CFR Part 11 mappings the firm extends directly
- On-premise LLM inference tuned on the firm’s prior exam responses and policy narratives
- Hash-chained, tamper-evident audit trail with signing keys held in the firm’s HSM
- Read-only examiner workspace with time-bounded access and its own audit-log namespace
- Continuous regulatory monitoring against the agencies the firm actually reports to
A secure AI compliance platform is the self-hosted answer. Build it once for the framework set in scope, tune it on the firm’s exam history, and the audit trail the regulator inspects becomes an artifact the firm fully controls — with the residency, custody, and customization cloud GRC SaaS can’t deliver.
Cloud compliance SaaS vs self-hosted AI compliance software
Cloud GRC SaaS — LogicGate, Hyperproof, Vanta, Drata — solved the workflow problem for an earlier compliance buyer. The regulated firm sits a level above that stack. Six dimensions where the architecture diverges.
| Capability | Cloud compliance SaaS | Self-hosted AI compliance software |
|---|---|---|
| Data residency | Vendor multi-tenant cloud; data-residency tier often costs extra | Firm's VPC, on-prem, or air-gapped — never leaves the perimeter |
| Audit-trail control | Vendor owns the underlying log store and retention controls | Hash-chained, firm-owned, tamper-evident; streams to the firm's SIEM |
| Vendor risk profile | Compliance tooling becomes a critical third-party under FFIEC/OCC guidance | Self-hosted — no third-party risk on the evidence path itself |
| Multi-framework support | SOC 2, ISO, sometimes HIPAA — FFIEC, NAIC MAR, 21 CFR Part 11 patchy | FFIEC, OCC, NAIC MAR, HIPAA Privacy + Security, 21 CFR Part 11, SOX, NIST AI RMF |
| Custom controls | Limited to vendor's catalog; deep customization requires professional services | Firm extends the policy library, the retrieval index, and the audit-log schema directly |
| Cost trajectory at scale | Per-user / per-control SaaS pricing climbs with framework count and seat count | Infrastructure-based — flattens as users, controls, and frameworks grow |
Implementation framework: how a regulated firm rolls out secure AI compliance software
Four phases from initial framework inventory through continuous AI compliance automation. Compliance teams stay in control at every step — the engagement hands over the artifact (policy library, IaC, audit-log schema) at the end, not the other way around.
Assess
Inventory frameworks in scope (FFIEC, NAIC, HIPAA, 21 CFR Part 11, SOX), map prior-year exam findings, and identify the cloud GRC SaaS evidence that has to migrate in-house.
Design
Build the policy library — canonical control narratives, framework crosswalks, and the evidence-vault schema. Lock the on-premise model choice and the audit-log signing key custody model.
Deploy
Stand up the self-hosted stack inside the firm's VPC, on-prem, or air-gapped environment. SSO, RBAC, SIEM streaming, and a read-only examiner workspace are included in the launch.
Operate
Continuous regulatory monitoring, quarterly control testing, model and policy drift checks, and an on-call AI compliance platform team for examiner cycles and incident response.
Frequently asked questions about AI compliance software
Related solutions in the secure AI cluster
Ready to deploy secure on-premise AI compliance software?
Compliance teams that move regulatory monitoring, KYC, AML, and control testing onto a self-hosted AI compliance platform stop routing examiner-critical evidence through cloud SaaS. The architecture is the difference, and the firm controls every layer.
Related: AI for financial services · NIST AI Risk Management Framework.