A certifiable governance layer for autonomy — vendor-neutral, controller-agnostic, non-invasive. Something companies currently cannot buy off-the-shelf.
The frameworks below are not hypothetical. Each is a live deadline or an already-active enforcement surface. Countdowns are computed fresh on every page load and tick every thirty seconds client-side.
AI used in road vehicles, aviation, and certain industrial safety-critical systems is classified high-risk under Article 6 — Article 9 risk-management obligations apply.
Aligns automotive and aerospace AI governance with insurance-grade evidence requirements.
Products with digital elements — including in-vehicle software, autonomous systems, and embedded controllers — must meet essential cybersecurity requirements and provide vulnerability disclosure.
Brings embedded automotive and industrial autonomy under a unified EU cybersecurity baseline.
Full conformity obligations for high-risk AI embedded in safety-critical products — including ADAS, ADS, aerospace, and industrial autonomy — take effect after the Article 111 grandfather window closes.
Embedded AI systems shipped before August 2026 lose the legacy carve-out. Evidence-grade governance across the in-service fleet becomes mandatory.
All new vehicle types sold in EU, Japan, South Korea, and other WP.29 signatories must ship with a certified Cybersecurity Management System and evidence of ongoing risk management.
Vehicles without valid R155 type-approval cannot be sold. Runtime governance evidence fits directly into the CSMS submission.
Mandatory Software Update Management System with documented authorization, verification, and audit for every over-the-air software update.
Adaptive ML updates in the drive stack must produce tamper-evident evidence of safe parameter changes.
All new vehicles sold in the EU must include driver-attention monitoring, emergency lane-keeping, intelligent speed assistance, and event data recording.
Actuation-governance evidence is required for each assisted-driving function that can intervene in control.
Manufacturers and operators of vehicles with SAE Level 2 ADAS or Level 3-5 ADS must report serious crashes to NHTSA within strict reporting windows.
Evidence-grade incident traceability is non-negotiable. Tamper-evident decision logs answer the SGO directly.
Address hazards from functional insufficiencies and reasonably-foreseeable misuse — not just failure — in ADAS and automated driving functions.
Runtime-governance evidence of envelope awareness and bounded authority directly supports the SOTIF argument.
Safety case framework specifically for autonomous products — covers hardware, software, lifecycle, and operational design domain governance.
Increasingly cited by insurers and procurement officers as a baseline for autonomous product safety claims.
Second wave of mandatory safety technologies — including expanded driver-monitoring, automated emergency braking refinements, and reverse-detection — required on all newly registered vehicles.
Each additional intervention surface adds a new actuation-governance scope.
Establishes ASIL-graded development, verification, and production requirements for automotive electrical/electronic systems.
The baseline automotive safety standard. All governance evidence feeds the safety case.
Security risk management for airborne systems — required by FAA and EASA for type certification of new and modified aircraft.
Aerospace integrators must produce signed evidence of secure-by-design behavior. Runtime governance maps directly.
Five stages and the evidence artifact. Isometric DFD-0.
Formal safety models, ODD, assurance cases, reviewer briefs.
How we are set up and why the trust structure matters.
Direct line to the inventor. No demo, no deck.
Fifteen minutes. Architecture, not sales. On the regulatory surface you already know.
