As PLCs, AI agents, and machine-to-machine APIs execute at machine speed, traditional tools only observe and alert after the fact.
DefenXee enforces what machines can do in real time, turning every command into a deterministic, auditable decision.

We exist to make every machine handshake, between PLCs, AI agents, and APIs, verifiably trustworthy. We enforce trust at runtime so operators can modernize without accepting invisible execution risk.
A world where OT and AI systems share one enforcement core, one policy plane, and one audit spine, where compliance is a by-product of runtime governance, not paperwork.
We design for live, execution-level control, not after-the-fact insights. Runtime enforcement is our north star for every decision we make.
We embrace automation at machine speed, but never at the cost of safety. Every optimization is measured against its impact on operational resilience.
If it is not explainable and auditable, it is not done. Evidence-grade logging and clear causality are baked into our architecture, not added later.
We build for plants, pipelines, and grids as they are today. Brownfield constraints, legacy protocols, and uptime requirements shape how we engineer.
People set intent; machines enforce it. Our role is to make that intent precise, enforceable, and observable without adding cognitive overload.
Autonomous systems now make high-impact decisions at machine speed without human approval, across industrial control systems and AI-driven environments. At the same time, OT digitization and agentic automation are colliding, exposing plants, pipelines, and grids to execution-level risk.
Traditional platforms were built for observation and correlation, not for stopping unsafe machine actions before they happen. DefenXee closes that gap with runtime enforcement.

A shared control plane that evaluates every execution request and applies policy across OT and AI. Every decision is logged into an evidence-grade audit spine for security teams, auditors, and regulators.

Passive, protocol-deep visibility and enforcement for OT networks. It validates PLC project files, detects insecure code, and maps process behavior without disrupting operations.

Governs what AI agents do, not just what they say. It controls tool invocation and data exposure, enforcing policy on every action with full auditability.
| Dimension | Legacy Tools (Observe) | DefenXee (Enforce) |
|---|---|---|
| Primary Focus | Limited visibility into OT assets | Continuous passive inventory across Purdue Levels 0–5 |
| OT Capabilities | Basic traffic monitoring without context | Near real-time behavioral deviation detection with process context |
| AI Capabilities | Generic anomaly detection | Zone and conduit validation aligned with design baseline |
| Policy & Audit | Manual reporting with limited insights | Evidence-ready visibility aligned with major compliance frameworks |
Preventing grid disruption and national-level downtime
Securing signal systems against tampering and collisions
Mitigating high-consequence risks from process manipulation
Preventing production stoppages, scrap, and revenue loss
Protecting public health and long-distance process integrity
DefenXee is architected for total control: no mandatory cloud telemetry, no heartbeat dependency, and identical capability across air-gapped, on-premises, virtual, and hardware deployments.