Regulatory Compliance

Comprehensive coverage across 45+ regulatory frameworks for AI agent deployment

Global Regulatory Compliance - US & EU Standards

DOP Architecture Regulatory Coverage

Lane2.ai's Deterministic Orchestration Pipeline (DOP) architecture provides comprehensive compliance coverage designed to meet the stringent requirements of regulated environments worldwide.

Our framework addresses the complex intersection of AI governance, data protection, cybersecurity, and sector-specific regulations through pattern-based compliance scaffolding.

Regulatory Framework Coverage

EU Horizontal Regulations

  • AI Act (EU 2024/1689)
  • GDPR (General Data Protection Regulation)
  • ePrivacy Directive
  • AI Liability Framework
  • Digital Services Act (DSA)
  • Digital Markets Act (DMA)

Financial Services

  • PSD3 (Payment Services Directive)
  • Basel III Framework
  • MiFID II (Markets in Financial Instruments)
  • AML/CFT Requirements
  • DORA (Digital Operational Resilience Act)
  • ESG Disclosure Requirements

Healthcare & Medical Devices

  • MDR (Medical Device Regulation)
  • HIPAA (Health Insurance Portability)
  • ISO 13485 Medical Device Standards
  • ISO 14155 Clinical Investigation
  • FDA 21 CFR Part 820
  • IEC 62304 Medical Device Software

Industrial & Safety

  • IEC 62443 Cybersecurity Standards
  • ISO 26262 Automotive Safety
  • Machinery Directive (2006/42/EC)
  • IEC 61508 Functional Safety
  • NIST Cybersecurity Framework
  • ISO 27001 Information Security

Content & Platform Safety

  • Copyright Directive (EU 2019/790)
  • CSAM Detection Requirements
  • Content Safety Obligations
  • Terrorist Content Online Regulation
  • Platform-to-Business Regulation
  • Audiovisual Media Services Directive

Cybersecurity & Supply Chain

  • CRA (Cyber Resilience Act)
  • SBOM (Software Bill of Materials)
  • NIS2 Directive
  • Vulnerability Disclosure Requirements
  • Supply Chain Security Standards
  • Critical Infrastructure Protection

Global Counterparts

  • US: NIST AI Risk Management
  • US: State Privacy Laws (CCPA, CPRA)
  • UK: Data Protection Act 2018
  • UK: AI White Paper Framework
  • APAC: Singapore Model AI Governance
  • Canada: PIPEDA & AI Frameworks

45+ Frameworks

Comprehensive coverage across jurisdictions and sectors

7 Regulatory Categories
15+ Jurisdictions
45+ Frameworks

EU AI Act — Article-Level SAPP Mapping

SAPP provides concrete, measurable compliance capabilities mapped to specific EU AI Act articles. This is not aspirational — these are production capabilities with benchmarked performance.

Art. 12

Automatic Logging

Every AI operation produces a signed Merkle leaf with full provenance. 30,000 operations per second, each with cryptographic proof of what happened.

Art. 14

Human Oversight

Three-level proof chain with externally published checkpoint. Human oversight decisions are anchored alongside automated decisions — auditable trail of who reviewed what.

Art. 17

Quality Management

Evidence scoring across 10+ categories with weighted confidence (0.0–1.0). Quality thresholds enforced at transaction time — not checked after the fact.

Art. 11

Technical Documentation

Evidence bundles with schema references, exportable to ECS (Evidence Compliance Standard) format for standardised regulatory submission.

Art. 19

Record-Keeping

Append-only Merkle tree with configurable retention. Generational archive to S3 with Ed25519-signed manifests. QTSP-anchored root-of-roots for legal standing.

Art. 13

Transparency

Regulator verification endpoint provides cryptographic integrity check without accessing individual transaction data. Privacy-preserving audit.

Art. 43

Conformity Assessment

Deterministic proof generation with reproducible verification. Any party can independently verify the proof chain against the QTSP-published root.

eIDAS 2.0 — The Legal Bridge

SAPP publishes its global root-of-roots to an EU Qualified Trust Service Provider (QTSP) every 15 minutes. This gives every anchored operation a qualified timestamp with legal standing under eIDAS 2.0. A regulator, court, or DPA can independently verify that a specific operation occurred, with specific evidence, at a specific time — by checking the SAPP proof against the QTSP-anchored root. No dependency on the AI operator's infrastructure.

Compliance by Design

Cryptographic Evidence (SAPP)

Three-level Merkle proof chain with QTSP anchor. Evidence scoring, liability computation, and non-repudiation — not just audit trails, but admissible proof.

Fail-Closed Architecture

Default-secure operation ensuring system safety when operating outside defined parameters or regulatory boundaries.

Cross-Domain Correlation

Unified compliance framework enabling consistent regulatory adherence across multiple jurisdictions and sectors.

Automated Duty Propagation

Dynamic compliance requirement inheritance and propagation across federated agent networks and organisational boundaries.