Cogensec Extends Aversyn Autonomous Adversarial Validation to Critical Infrastructure
A free 30-day assessment program for municipalities, utilities, and operators of high-consequence systems

Cogensec today launched Aversyn for Critical Infrastructure, a free 30-day autonomous adversarial validation program for municipalities, utilities, and other operators of high-consequence systems.
The program uses Aversyn, Cogensec's autonomous adversarial validation platform, to map internet-facing assets, AI agents, APIs, and OT/IT convergence points, then pursue attack paths and produce prioritized, actionable evidence.
What eligible organizations receive
- A 30-day autonomous attack-surface and agent-risk assessment.
- Testing of AI reasoning paths and OT/IT convergence points.
- Findings mapped to NIST AI RMF, NIST 800-53, and FedRAMP controls.
- An optional path to continuous Aversyn validation and Argus runtime defense.
- Sovereign, air-gapped, or on-premise deployment options.
Why this matters now
Critical infrastructure operators are rapidly adopting AI agents for citizen services, grid management, and operational decision-making. These systems sit at the intersection of enterprise IT and physical control systems, creating new trust boundaries that traditional testing does not fully cover.
Aversyn is designed for exactly this problem: it attacks the AI reasoning layer, not just networks, and does so inside infrastructure the customer controls.
How to apply
Eligible organizations include municipal and county governments, water and wastewater utilities, electric power operators, natural gas and pipeline operators, public transit agencies, and public healthcare and emergency services.
About Cogensec
Cogensec is a frontier AI security lab building the models, tools, and sovereign infrastructure required to secure autonomous systems in high-consequence environments. Its platform includes Aversyn for adversarial validation, Argus for runtime defense, Agentegrity for integrity attestation, and Gideon for open-source security automation.
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