AxiSentinel extends continuous AI compliance evaluation from software to embodied systems: industrial robots, collaborative robots, autonomous mobile robots, and humanoid platforms operating in the physical world, not just in the cloud.
Last verified: 23 October 2026
4 industry-specific mandates and 61 that apply across all industries, worldwide.
Next date for this industry: 1 Nov 2026, Egypt PDPL compliance period ends.
See all 65 mandates →For most of the last two decades, robot safety was a mechanical-engineering discipline: force limits, e-stops, guarding. That changed the moment regulators started asking what happens when the robot's behavior comes from a model instead of a fixed program.
Every continuous AI-monitoring platform built so far was built for models that run in a data center. None of them were built to evaluate a robot that can share a floor with a person.
Physical AI sits at the intersection of machinery law and AI law. AxiSentinel tracks both, and builds RegDef packages the moment a standard is stable enough to evaluate against.
Industrial robot safety, now absorbing the former ISO/TS 15066 collaborative-robot thresholds directly into the main standard.
Replaces the 2006 Machinery Directive outright and, for the first time, explicitly brings AI-based safety functions and self-evolving code into scope.
The quality management standard Germany’s automotive OEMs and their robotics and automation suppliers require across product development, production, and service parts, layered on top of the AI-specific safety frameworks above, not a substitute for them.
Added 28 Jul 2026. A procurement and import restriction targeting specific foreign-made robot categories, not yet an operational compliance rule for deployers.
Successor to ISO 13482:2014, the baseline personal-care and service-robot safety standard, currently at Final Draft International Standard stage.
Formally titled "Collaborative Safety, Physical Contact with Robots, Part 1: Biomechanical Thresholds and Data" on ISO's work program. A dedicated successor to the collaborative-robot force and pressure guidance now folded into ISO 10218, expanding it into its own standard.
General-purpose AI risk-management frameworks that already apply to any AI component inside a robotic system, physical embodiment or not.
Humanoid and industrial robot manufacturers are moving fast, licensing platforms, opening regional production, shipping into markets they have never sold into before. Thailand alone is now a manufacturing hub for humanoid robot components, not just a customer market. The manufacturers moving fastest are the ones who show up in a new market with trust already built in, not scrambling to prove it after the fact.
If you are the one bidding for the account, not the one who built the robot, you are the one who has to answer for it when the buyer asks hard questions. Give your customers an answer that isn’t “trust me.”
From a single cobot on a factory floor to a fleet of humanoid platforms, AxiSentinel evaluates physical-AI behavior against whichever standard actually applies.
Robot makers and integrators use AI to choose components, control strategies and deployment settings. When a machine works near people, the reasoning behind those choices matters as much as the result.
A robot acts in the physical world, so an attack on its AI can become a safety event. AxiLayer AI works hand in hand with your cybersecurity team to test, monitor and evidence that these AI systems stay secure, under your written authorization.
Explore AI Cybersecurity Request an AI Cybersecurity Readiness Review
Status as of 28 October 2026. General information, not legal advice. Certifications, CE marking and regulated assessments named here are issued by the bodies the law designates.
Nothing about AxiSentinel's core architecture changes for embodied systems. What changes is which RegDef packages are switched on and what telemetry the agents capture.
Agents capture robot 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 physical-AI safety and machinery 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 robot or an entire fleet propagates network-wide as it happens.
Nothing becomes a compliance finding until a qualified AxiLayer AI auditor reviews and signs it.
AXI-Node agents deploy on industrial control networks, mobile robot fleets, and fully air-gapped facilities through the .axibatch format, zero network connectivity required.
Tracks human involvement in autonomous physical actions and feeds it into AxiSentinel's oversight-gap scoring model.
The same agents generating compliance evidence watch for manipulated sensor inputs, spoofed perception data, and poisoned model updates before a re-certified release reaches production.
New machinery, robotics, or jurisdictional 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 qualified AxiLayer AI auditor before anything counts as a finding.
The same architecture monitoring a warehouse robot fleet monitors a trading desk's model or a hospital's diagnostic AI. What changes is which RegDef packages are switched on.
ISO 10218-1 and -2:2025, published in January 2025, now set industrial robot safety, folding in collaborative-robot thresholds and adding functional-safety and cybersecurity requirements. China published a humanoid robot standard system with 52 initial standards on 28 February 2026, and on 28 July 2026 the FCC added foreign humanoid and quadruped robots to its Covered List. The EU Machinery Regulation applies from 20 January 2027.
From 20 January 2027, when it replaces the 2006 Machinery Directive and brings AI-based safety functions and self-evolving code into scope for the first time. High-risk machinery categories require third-party notified-body assessment, manufacturers must provide software security updates for at least ten years, and integrators, importers and authorized representatives carry compliance duties of their own.
Collaborative robot force and pressure limits now sit inside ISO 10218:2025, which absorbed the former ISO/TS 15066 thresholds. Rather than relying on a one-time certification test, makers and integrators can evaluate those thresholds continuously against robot telemetry and keep timestamped records of every proximity threshold breach. A dedicated successor standard, ISO/AWI 15066-1, is still at an early stage.
A robotics AI audit is a third-party assessment of how an industrial robot, collaborative robot, autonomous mobile robot or humanoid actually behaves on the floor. It tests safety thresholds, perception and actuation drift, workspace boundaries, firmware and model provenance, and human oversight against the standards that apply. A qualified AxiLayer AI auditor reviews and signs every finding.
AxiLayer AI evaluates physical AI continuously with AxiSentinel against the standards and rules that apply in each market a robot ships into, including ISO 10218:2025, the EU Machinery Regulation and NIST AI RMF. Every finding is reviewed and signed by a qualified AxiLayer AI auditor, giving your customers evidence instead of assurances. Request a briefing to start.
Last verified: 23 October 2026. See every mandate for this industry on the AI Audit Mandates Map.
Whether it's a single collaborative robot or a fleet of humanoid platforms, 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.
