Compliance Banner

Compliance Toolkit

Automated compliance artifacts, deterministic builds with cryptographic proof, and regulatory checklists mapped to your framework. What PyTorch, JAX, and Mojo cannot offer.

What MIND provides

Deterministic Builds

100% bit-identical output from identical source. SHA-256 verified at every stage: source, IR, binary.

SLSA L3 Provenance

Ed25519-signed build attestations following SLSA v1.0. Builder identity, source repository, and reproducibility status.

SBOM Generation

Automatic Software Bill of Materials in SPDX 3.0 and CycloneDX 1.5. All transitive dependencies with license classification.

Audit Log Exporter

Timestamped execution log for regulatory traceability. Every tensor operation, shape verification, and safety check recorded.

Audit trail in action

// Source: model.mind
@audit(level="full")
@provenance(slsa_level=3)
@sbom(format=["spdx-3.0", "cyclonedx-1.5"])

param weights: Tensor<f32, 784, 10>

fn forward(x: Tensor<f32, ?, 784>) -> Tensor<f32, ?, 10> {
    matmul(x, weights)  // Shape verified at compile time
}

// Build with full audit trail:
// $ mindc build model.mind --audit --provenance --sbom
//
// Generated artifacts:
//   model.bin          (compiled binary)
//   model.bin.sha256   (binary hash)
//   model.slsa.json    (SLSA v1.0 provenance)
//   model.spdx.json    (SPDX 3.0 SBOM)
//   model.cdx.json     (CycloneDX 1.5 SBOM)
//   model.audit.json   (execution audit log)

Regulatory framework checklists

For each framework, we show what MIND automatically satisfies, where it helps, and what your team still needs to provide.

FDA 510(k) / De Novo

IEC 62304, ISO 14971, ISO 13485

Auto-satisfied

  • Software verification (compile-time shape checks)
  • Configuration management (SLSA L3, SHA-256)
  • Reproducible builds (deterministic execution)

MIND helps with

  • Cybersecurity (memory safety, supply chain)
  • Performance reporting (deterministic benchmarks)

You still need

  • Risk management process documentation
  • Clinical performance studies
  • Device labeling

EU AI Act

Regulation 2024/1689, Articles 9-17

Auto-satisfied

  • Record-keeping and logging (Article 12)
  • Build provenance and traceability

MIND helps with

  • Risk management system (Article 9)
  • Technical documentation (Article 11)
  • Transparency (Article 13)

You still need

  • Data governance (Article 10)
  • Human oversight mechanisms (Article 14)
  • Quality management system (Article 17)

ISO 26262

Parts 6, 8, 9, 11 (Functional Safety)

Auto-satisfied

  • Software unit design (compile-time guarantees)
  • Software unit verification (static analysis)

MIND helps with

  • Tool qualification evidence (Part 11)
  • Integration verification
  • Safety-critical runtime checks

You still need

  • ASIL classification and analysis (Part 9)
  • Software development plan (Part 6)
  • Hardware-software interface spec (Part 8)

Start a compliance pilot

Free 4-8 week pilot. Migrate one model, get full compliance artifacts, and see exactly what MIND automates for your regulatory framework.

Learn about the pilot