AI entering operational and physical systems
Critical Infrastructure
Control AI where operational failure carries real-world consequence.
Govern AI in operational environments where resilience, cyber risk, human authority, supplier dependency and continuity are material concerns.
Industry pressure
The control problem is specific to the operating environment.
Cybatar provides the governance, evidence and dependency visibility required for AI operating in consequential environments.
Cyber and supplier concentration risk
Need for strict change and authorisation control
Evidence requirements during incidents and continuity events
Priority operating capabilities
What Cybatar should make visible and govern.
The platform is configured around the institution's own materiality, authority, evidence and economic model rather than a generic checklist.
01Strict AI authorisation
02Model and supplier governance
03Infrastructure resilience
04Runtime evidence and incident records
05Human review and exception control
06Executive risk visibility
One institutional operating model
Record. Control. Evidence. Economics.
Cybatar connects the AI estate to accountable decisions, evidence and value so critical infrastructure does not govern AI through disconnected committees and spreadsheets.
Record
Inventory, ownership, AI Passports and lifecycle.
Control
Intake, authorisation, policy and obligations.
Evidence
Provenance, decisions, assurance and audit records.
Economics
Spend, unit economics, outcomes and validated value.
Critical Infrastructure
Request an AI Estate AssessmentMap your AI estate before the next material decision.
Bring your current systems, governance model, supplier exposure and executive questions. Cybatar will structure the operating problem.