On June 24, 2026, UNECE adopted the first global technical regulation for automated driving systems, endorsed by Canada, China, the EU, Japan, the UK, and the US. AxiSentinel evaluates autonomous vehicle software and safety-case evidence continuously, against whichever jurisdiction's rules actually apply to a given deployment.
Autonomous vehicles have spent a decade being regulated country by country, sometimes state by state. That era is ending: the world's largest vehicle markets just agreed on one definition of a safe automated driving system.
A safety-management-system audit happens once, at type approval. AxiSentinel is built for what happens in the months and years between audits, while the vehicle is actually on the road.
A vehicle sold globally now has to satisfy a shared international baseline plus whatever each market layers on top. AxiSentinel tracks both levels.
Formally adopted as UN GTR No. 26, paired with UN Regulation No. 185. The first global technical regulation of its kind, endorsed by Canada, China, the EU, Japan, the UK, and the US. Requires audited safety-management systems, credible test environments, and continuous post-deployment monitoring.
The first dedicated AI-safety framework for road vehicles, addressing how AI components inside a vehicle's software stack should be developed and assessed.
China's first mandatory national standard for Level 3 and Level 4 automated driving systems, referencing the UN GTR and UN R157 for international harmonization.
In force since 15 May 2026, governing permits for automated passenger services ahead of the full Automated Vehicles Act framework targeted for 2027.
State-level permitting frameworks specific to autonomous vehicle operation, confirmed in force and distinct from existing state AI-transparency statutes. At the federal level, NHTSA withdrew its AV STEP proposed rule on 26 June 2026, citing overly burdensome requirements for a voluntary program; the agency is pursuing its automated-vehicle safety goals through existing exemption and crash-reporting programs instead.
General-purpose AI risk-management frameworks that already apply to any AI component inside an autonomous vehicle's software stack.
From a single ADAS feature to a fleet of Level 4 robotaxis, AxiSentinel evaluates the software and safety-case evidence continuously, not just at type approval.
Nothing about AxiSentinel's core architecture changes for autonomous vehicles. What changes is which RegDef packages are switched on and what telemetry the agents capture from the vehicle or fleet.
Agents capture vehicle and fleet telemetry on the cadence you configure, always-on or scheduled, in full rather than sampled, and never limited to a quarterly cycle.
Every telemetry event evaluated against the applicable automated-driving rule set, per AI event.
Every audit record is linked to the one before it in a signed, tamper-evident evidence chain, verifiable from the first event.
A compliance state change on one vehicle or an entire fleet propagates network-wide as it happens.
Nothing becomes a compliance finding until a qualified auditor reviews and signs it.
AXI-Node agents deploy on vehicle compute, mobile networks, and telecom network functions, with the .axibatch format available for isolated environments.
Tracks human involvement in remote supervision and teleoperation decisions and feeds it into AxiSentinel's oversight-gap scoring model.
The same agents generating compliance evidence watch for spoofed sensor inputs, adversarial perception attacks, and poisoned model updates before a re-certified release reaches production.
New vehicle, jurisdictional, or GTR-aligned rules are added by encoding new RegDef packages. Deployed agents are never rebuilt.
Scoped to your organization during onboarding, not hard-coded into the platform.
A threshold breach becomes a flagged, timestamped, evidence-linked Provisional Alert, reviewed by a certified human auditor before anything counts as a finding.
The same architecture monitoring a robotaxi fleet monitors a trading desk's model or a hospital's diagnostic AI. What changes is which RegDef packages are switched on.
The UN GTR gives the autonomous-vehicle industry, for the first time, one standard six major markets actually agree on. AxiSentinel's architecture already does continuous evidence generation for software AI; autonomous vehicles are a new RegDef surface on the same platform, not a new product.
Whether it's a single ADAS feature or a fleet of Level 4 robotaxis, AxiSentinel evaluates it the same way it evaluates any AI system: on the cadence you configure, always-on or scheduled, with full evidence, and with a human signature before anything counts as a finding.
