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Compliance by architecture

Architected for compliance, not retrofitted.

deeplinq is engineered around the security and compliance requirements of the most regulated sectors. Universal frameworks define our architectural maturity; regional alignment is reviewed on engagement for every deployment.

Evidence trail architecture

The audit core is a hash-chained append-only log of every consequential AI action: prompt, retrieved context, model version and provider, routing decision, guardrail checks, human-in-the-loop (HITL) reviewer identity, and external service calls. Each entry is cryptographically linked to the previous — tampering is detectable. Exportable in regulator-ready formats for DPO, CISO, internal audit, and external supervisor reviews.

Evidence trail architecture diagram. Left column shows seven fields captured for each AI action: input, context retrieval, model selection, policy gate, generation, human review, and audit entry. Right column shows the append-only ledger with four visible entries — current entry #142 highlighted in blue, two prior entries, and the genesis entry — each cryptographically linked to the previous.Capture per AI actionAppend-only ledger01Inputprompt · user identity02Context retrievalRAG sources · scores03Model selectionprovider · version pin04Policy gateguardrails · redaction · residency05Generationoutput · token trace06Human reviewreviewer signature · decision07Audit entryhash-chained · tamper-evidentcommittedjust nowEntry #142hash: a7f2c3d1…prev: 9b18ef4a…2 min agoEntry #141hash: 9b18ef4a…prev: 4e7c12bd…6 min agoEntry #140hash: 4e7c12bd…prev: c83a6017…genesisEntry #001hash: 00000000…prev: —Hash-chained · Tamper-evident · Regulator-exportable
Every AI action becomes a tamper-evident entry. The chain is verifiable end-to-end and exportable in regulator-ready formats.

AI-specific evidence trails

General-purpose audit frameworks capture what happened. Our audit core is designed to capture AI-specific evidence including model identity, decision context, guardrail outcomes, and human reviewer signatures — supporting the evidence trails that ISO 42001, the EU AI Act, and SR 11-7 will require.

Deployment portability as compliance lever

The same deeplinq runs on-premise, in customer-tenanted private cloud, and on public hyperscalers (Azure, AWS, GCP). Deployment choice collapses jurisdictional concerns:

  • Data residency satisfied by deployment location, regardless of jurisdiction
  • Sub-processor DPAs reduced to customer-chosen components
  • Cross-border transfer controls inherited from customer infrastructure governance

The sovereign AI configuration

For banking and government customers, the most demanding compliance configuration is also the simplest to explain.

On-premise deployment + locally-deployed open models = zero prompts leave the environment, zero external LLM dependencies, zero cross-border transfers, zero third-party AI-provider DPAs to sign.

Not a claim. Not a promise. An architectural constraint enforced by your own infrastructure and validated by your CISO.

Architected for

Universal frameworks that define deeplinq's architectural maturity. They apply regardless of customer geography.

DORA
Full operational resilience logging. AI system incidents recorded, classified, reportable under DORA timelines.
MiFID II
Complete decision traceability. Every AI-assisted recommendation logged with source chain.
GDPR-class data protection
No customer data leaves your environment. Right-to-erasure respected across the AI layer. Same posture applies to nLPD, PDPL, LGPD, CCPA, PIPL, and other major data-protection regimes.
EU AI Act
Risk-classification-ready architecture. Transparency logs, human oversight controls, model governance applicable to AI regulation regardless of jurisdiction.
ISO 27001
Information security management system architected for ISO 27001 alignment. Certification path underway.
SOC 2 Type II
Trust services criteria embedded in architecture. Certification path underway.
NIST CSF / CIS Controls
Defensive control architecture aligned with NIST Cybersecurity Framework v2 and CIS Controls v8.

Certification roadmap available under NDA.

Regional alignment on engagement

Local regulators reviewed on engagement, including but not limited to:

Europe

  • FINMA — Switzerland
  • ACPR/CNIL — France
  • BaFin — Germany
  • FCA — United Kingdom
  • CSSF — Luxembourg

Middle East & Africa

  • Bank Al-Maghrib — Morocco
  • CBUAE — UAE
  • SAMA — Saudi Arabia
  • CMA Egypt — Egypt
  • SARB — South Africa

Asia-Pacific

  • MAS — Singapore
  • HKMA — Hong Kong
  • JFSA — Japan
  • APRA — Australia

Americas

  • OSFI — Canada
  • OCC / SEC — United States
  • CVM / BACEN — Brazil
  • CNBV — Mexico

Local data residency, country-specific certifications, and regulatory mapping are part of every deployment scope.

Shared responsibility model

Compliance is a partnership. deeplinq provides the architecture, evidence, and deployment options. You provide the policies, validation, and governance that bind your organization.

deeplinq provides

  • Platform architecture (4-layer : connectors, RAG, LLM router, agents)
  • Audit trail infrastructure (append-only, hash-chained logs)
  • RBAC enforcement engine
  • Deployment options (on-premise, air-gapped, your cloud, managed SaaS)
  • Model routing with version pinning
  • Universal framework alignment (DORA, MiFID II, GDPR-class, EU AI Act, ISO 27001, SOC 2, NIST CSF / CIS)
  • Evidence layer for regulated decision support

You control

  • Access policies and user provisioning
  • Regulatory validation against your jurisdiction
  • Choice of which models to enable per use case
  • Internal procedures and governance frameworks
  • Approval workflows and human-in-the-loop policies
  • Final decisions on regulated actions (deeplinq drafts ; you decide)
  • Data retention and lifecycle policies for your environment

Want the full security brief?

We share the deeplinq security architecture document, certification roadmap, and deployment-mode mapping under NDA with prospective institutional customers.

Review the governance architecture