EU CRA: vulnerability-reporting obligations apply from 11 September 2026 — full compliance required by 11 December 2027.

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Enterprise AI × OT Cybersecurity

Enterprise AI governance for critical operations.

AI can accelerate GRC, engineering, and incident response — but only when plant-floor data, model access, prompts, evidence, and decisions are governed like critical infrastructure. We help manufacturers use AI without losing control of OT context, product security data, or audit accountability.

Where AI helps, and where it is governed

  • Governed AI for GRC

    Use AI to draft mappings, policies, evidence packs, and gap analyses while preserving review, source traceability, and executive accountability.

    The CRA Workbench is this as software: six steps from product profile to a conformity package, every claim cited and scored the way an assessor scores it.

    Open the CRA Workbench
  • Data governance & model risk

    Define what AI can access, where sensitive OT and product data can flow, how outputs are validated, and which controls map to ISO/IEC 42001 and the EU AI Act.

  • OT-aware AI security

    Threat model AI-enabled workflows across plants, products, suppliers, and SOC operations so automation improves decisions without creating new control-system risk.

    Two free instruments run the CRA obligations that carry a clock: an Article 13 risk bench that maps onto zones and conduits, and an Article 14 reporting timer. Both run in your browser; nothing is uploaded.

    Open the free tools

How we put AI under control, in four steps

  1. Step 01

    Classify the data

    Separate public, internal, product, customer, supplier, and OT-sensitive data before AI touches it.

  2. Step 02

    Control the workflow

    Set approved models, prompt patterns, access paths, retention rules, and human review gates.

  3. Step 03

    Secure OT context

    Keep plant operations, engineering details, and control-system assumptions protected by design.

  4. Step 04

    Prove the outcome

    Deliver sourced, versioned evidence that stands up to auditors, customers, and regulators.

Critical infrastructure sectors

  • Electrical substation equipment behind security fencing

    Energy

    Grid and utility operations

    Govern AI use around SCADA context, outage planning, and sensitive engineering data.

  • Water

    Water and wastewater systems

    Protect operating data, reporting workflows, and incident response decisions.

  • Industrial automation robots moving packaged goods

    Manufacturing

    Connected product lines

    Turn AI into governed acceleration for security engineering, suppliers, and compliance teams.

Governance is a programme, not a policy document.