AI actions can affect essential services
Operational workflows need controls that protect service resilience before automation changes state.
Critical Infrastructure AI
Energy, transport, water, communications, health systems, and other essential services are adopting AI in environments where mistakes can create operational, safety, security, and public-trust consequences. Governance has to stop unsafe actions before they propagate.
Operational workflows need controls that protect service resilience before automation changes state.
High-impact actions need human oversight, escalation, and hard-stop policies.
Tools, vendors, data flows, and agentic actions need discovery, ownership, and runtime restrictions.
Operators need sealed evidence of what happened, what was stopped, who approved it, and why.
Identify Shadow AI, decision points, vendors, owners, data flows, and coverage gaps.
Assess gate integrity, drift, failure modes, oversight, legal exposure, and evidence quality before deployment.
Warn, hold, block, or stop actions that breach safety, authority, security, or evidence requirements.
Capture policy basis, owner, reviewer, override, control result, and remediation path automatically.