Enterprise-grade compliance

Built for teams that
answer to regulators.

MISRA C-compliant compiled inference, deterministic outputs, full audit trails, and tenant isolation — designed for healthcare, finance, automotive, and defense.

Why Compiled Inference Matters for Compliance

Traditional ML serving runs models through Python interpreters — introducing non-determinism from garbage collection, floating-point reordering, and runtime JIT compilation. This makes validation and certification extremely difficult.

Timber eliminates this entirely. Your model is compiled ahead of time into standalone C99 code that produces bit-identical outputs on every execution, across every environment.

Deterministic: same input always yields same output
Auditable: SHA-256 hash of every compiled artifact
Portable: generated C runs on any POSIX system
Certifiable: MISRA C-compliant code generation
Minimal: no runtime dependencies, no dynamic allocation

Regulatory & Compliance Standards

How Timber Cloud aligns with the frameworks your compliance team cares about.

MISRA C Compliance

Supported

Timber compiles ML models to MISRA C-compliant code — the gold standard for safety-critical embedded systems. Every generated C99 source passes static analysis for MISRA rule conformance.

No dynamic memory allocation in compiled inference code
No recursion — fully unrolled tree traversal
No undefined behavior — all operations are bounded
Deterministic execution with fixed stack usage
Compatible with MISRA C:2012 guidelines

SOC 2 Type II

Architecture Ready

Timber Cloud is built with SOC 2 controls in mind. Full audit logging, encrypted secrets, role-based access, and immutable deployment records provide the foundation for SOC 2 attestation.

Immutable audit trail for all deployment events
SHA-256 hashing of API keys — plaintext never stored
Row-Level Security (RLS) for multi-tenant data isolation
GitHub OAuth with session management
Encrypted environment variables and secrets

EU AI Act — Article 15

Facilitates Compliance

Article 15 of the EU AI Act requires high-risk AI systems to be "accurate, robust, and cybersecure." Timber's compiled inference produces deterministic, reproducible outputs — critical for regulatory auditability.

Bit-identical outputs across environments
SHA-256 compilation hashes for version tracking
No stochastic variance from runtime interpretation
Reproducible builds with pinned dependencies
Full provenance chain: model → compilation → deployment

HIPAA / Healthcare

Architecture Ready

For organizations handling PHI, Timber Cloud provides tenant isolation via containerized deployments, encrypted transport, and audit logging. No model data is shared across tenants.

Per-deployment container isolation
No cross-tenant data leakage by architecture
Audit events with user attribution
API key expiration and revocation
Webhook notifications for deployment lifecycle events

FDA / IEC 62304

Facilitates Compliance

Medical device software must follow IEC 62304 lifecycle processes. Timber's MISRA-compliant C output and deterministic builds align with Class B and Class C software classification requirements.

Generated C code can be integrated into IEC 62304 workflows
Static analysis-friendly output (no dynamic allocation)
Deterministic inference for validation testing
Version-controlled compilation artifacts
Compatible with safety-critical toolchains (GCC, IAR, Keil)

Model Transparency & Auditability

Built In

Regulators increasingly require ML model transparency. Timber provides a complete chain from model upload to compiled artifact to production deployment, with every step logged and hashed.

Model metadata tracked: framework, trees, features, size
Compilation timestamp and artifact hash recorded
Usage events with latency, status code, and row counts
Per-prediction audit capability via API key attribution
Webhook integration for real-time compliance monitoring

Security Hardening

Every layer of the Timber Cloud stack is hardened against common attack vectors.

API keys hashed with SHA-256

Plaintext shown once, then discarded

Row-Level Security on all tables

Users only see their own resources

Container isolation per deployment

No shared runtimes between tenants

Network segmentation

Internal Docker network, no cross-container access

Rate limiting per IP and API key

Token bucket with configurable RPM

Request body size limits

10 MB max payload on inference endpoints

Content-Security-Policy headers

XSS mitigation, frame-ancestors none

HSTS enforcement

Strict-Transport-Security with 1-year max-age

Webhook SSRF protection

Blocked private/internal IP ranges

OAuth open redirect prevention

Validated redirect paths after login

Read-only container filesystems

Runtime containers have no write access

Non-root container execution

All containers run as unprivileged users

Deploy with confidence.

Compiled inference that your security team, compliance officers, and regulators will approve.