AI Compliance for Manufacturing

Bring AI to the Plant Floor Without Weakening OT Security or Safety

Predictive maintenance, vision inspection, robotics and engineering copilots now sit across IT and OT. Asenion turns OT security, supply chain and product safety requirements into operational controls your CISO, OT security and engineering teams can verify, monitor and evidence.

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30 minutes with our AI compliance team.

What customers, assessors and regulators will ask about

5 headline regulations and standards for AI in manufacturing

Few of these were written only for AI. All of them apply to it.

International · OT security

ISA/IEC 62443

The OT and industrial control system security standard series for asset owners, integrators and suppliers, built on zones, conduits and security levels.

For AI: AI connected to control systems belongs inside defined zones and conduits, with secure remote access and change management.

US · Framework

NIST CSF 2.0

Govern, Identify, Protect, Detect, Respond and Recover: the enterprise security baseline most manufacturers report against.

For AI: Add AI assets, AI supply chain risk and AI incidents to your CSF profile and governance.

US defense · Supply chain

CMMC 2.0

The DoD program requiring defense suppliers to meet NIST SP 800-171 for controlled unclassified information, phased into contracts since November 2025.

For AI: GenAI tools and AI vendors that touch CUI must be inside your assessed boundary, or kept out of it.

EU · Product safety

EU Machinery Regulation 2023/1230

Replaces the Machinery Directive from January 2027, adding requirements for machinery with self-evolving behaviour and for protection against corruption.

For AI: Safety components with machine-learning behaviour may need third-party conformity assessment, and control systems must resist tampering.

EU · AI regulation

EU AI Act

AI used as a safety component of machinery and other regulated products is high-risk, with product-embedded obligations applying from August 2028 under the AI Omnibus.

For AI: Combine AI Act risk management, logging and human oversight with Machinery Regulation conformity assessment.

Use cases

Where AI meets these rules in manufacturing

The AI use cases we see most often, and the requirements that follow them.

Predictive maintenance and process optimization

Models that change setpoints or schedule shutdowns need OT change control, fail-safe defaults and monitoring for drift.

IEC 62443NIST CSF 2.0

Vision inspection and robotics safety

ML-based quality or safety functions need validation, documented performance limits and conformity assessment where they act as safety components.

EU Machinery RegulationEU AI ActISO 13849

GenAI for engineering and supplier data

Engineers pasting drawings or CUI into GenAI tools create export control and IP exposure.

CMMC 2.0NIST SP 800-171ITAR / EAR

AI agents across IT and OT

Agents with access to MES or ERP need least privilege, approval gates and tamper-resistant logs.

IEC 62443NIST CSF 2.0ISO/IEC 42001
How Asenion helps

From regulation to operational control

One set of controls, applied from design through runtime, with evidence your assessors, customers and regulators can rely on.

01 · CONTROLGEN

Policy Packs for manufacturing

Start from Policy Packs for IEC 62443, NIST CSF 2.0, CMMC 2.0 and the EU AI Act, combined with your own OT and AI policies.

02 · VERIFY

Verify before release

Test models and agents for unsafe outputs, data leakage, prompt injection and robustness failures, with every result mapped back to a control.

03 · WITNESS

Govern at runtime

Apply context-aware controls to AI agents in production and capture tamper-resistant evidence of what happened, which controls applied and whether they worked.

Using SAS® AI Navigator? Asenion policy content is available there too. Learn more →

Scale AI in operations with controls you can prove

In 30 minutes we'll map your AI use cases to the rules above, show the controls that apply, and point out gaps across IT and OT.

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No preparation needed.