Regulatory compliance
From audit-ready once a year to audit-ready every day. Moving industrial operators from manual, periodic compliance reporting to continuous, evidence-based operational assurance, across OT, cyber, ESG, and AI governance.
How it works
From fragmented systems to a connected compliance intelligence layer
Most compliance teams already have the data they need, but living in separate places. OT infrastructure, SCADA, alarms, cyber tools, asset platforms, and incident systems all produce signals. By bringing these signals together into one continuous view of system health and availability, your team can see what is happening across the estate at any time.
From there, AI and operational logic weigh events and deviations against asset criticality, control performance, and regulatory exposure. Evidence from logs, policies, tickets, and supplier documentation is structured against the controls it supports, so the proof is ready when an audit lands.
Underneath it all, the Digital Knowledge Universe captures what your organization has learned from audits, incidents, and past decisions, keeping that knowledge usable over time.
Scenarios
Three ways customers realize value
Preparing for a NIS2-related audit
A critical infrastructure operator needs to demonstrate cyber and operational resilience across multiple assets. Antire maps controls, evidence sources, and the system landscape, then automates reporting workflows. Manual prep drops; control ownership and auditor evidence get clearer.
Board-level visibility of OT and cyber posture
Executives need a current view of whether critical assets sit within acceptable compliance, cyber, and operational risk. A compliance intelligence dashboard combines OT health, cyber events, controls, open incidents, and missing evidence into one operational picture.
Safe use of AI in a regulated environment
A customer wants AI to support compliance documentation, incident analysis, and policy review without creating governance risk. Antire defines AI governance principles, data boundaries, human-in-the-loop workflows, and controlled use cases, practical adoption without losing accountability.
Proven in production
A digitalized Control and Monitoring Center (CMC), which offers around-the-clock support and services for wind farms. With streamlined data flows, digitalized processes, and remote problem solving, the utility services company has accomplished managed, compliant, and secure workflows and fast scalability of services.
Why now
Regulation is expanding faster than manual compliance can keep up
NIS2, the AI Act, CSRD, IEC 62443, NERC-CIP, IMO, ETS, and sector-specific rules are increasing the need for structured evidence, across cyber resilience, operational control, sustainability, supplier governance, and AI use.
The EU AI Act entered into force on 1 August 2024. Prohibitions and AI literacy obligations apply from February 2025, general-purpose AI obligations from August 2025, and the majority of the Act from August 2026, with high-risk rules extending into 2027. Critical infrastructure operators need an overview of where AI is used, what risk category it falls into, and how decisions are governed.
Proof of Value sprint
Prove compliance value around one regulation in 4–8 weeks.
Pick one regulation, one asset group, or one reporting flow. We map the controls, connect the evidence sources, structure the data, layer in AI-assisted review, and exit with a clear roadmap to platform rollout — and a working slice you can show to auditors