Patented Innovation at the Core of the Decision Layer.
Three approved patents address the hardest parts of autonomous security in AI infrastructure: recognizing threats that have not been seen before, understanding how they propagate, and choosing responses by consequence. Together they underpin the platform’s decision and resilience architecture.
Previously unseen threats evade signature- and rule-based detection.
The approach
Adaptive identification of evolving and novel threat behavior.
Role in the architecture
Gives the AI Core behavior-based detections that do not depend on known signatures.
Approved patentLifecycle · Understand
Risk Propagation Intelligence
The challenge
Isolated alerts hide how a threat can cascade through connected infrastructure.
The approach
Modeling interconnected risk, dependencies, and potential cascading consequences.
Role in the architecture
Turns a detection into a blast radius: which control planes, GPU pools, and workloads a threat can reach, and how likely each path is.
Approved patentLifecycle · Decide
Business Impact Decision Intelligence
The challenge
Security actions are chosen without weighing business and operational consequence.
The approach
Incorporating business and operational impact into security decision-making.
Role in the architecture
Ranks response options by consequence, so containment protects the asset without unnecessarily taking down the service.
DetectAdaptive Zero-Day Detection
UnderstandRisk Propagation Intelligence
DecideBusiness Impact Decision Intelligence
ActGoverned response (platform)
RestoreVerified recovery (platform)
Innovation-area names describe the technology. Official patent titles, numbers, jurisdictions, and statuses are provided to qualified parties on request. Patents protect methods; they do not by themselves establish product performance, market adoption, or competitive superiority.
Your AI Infrastructure Is Too Valuable for Reactive Security.
See how CyberActive AI is designed to carry a threat from detection through infrastructure context, impact-aware decisions, governed response, and verified recovery, across AI workloads and GPU environments.
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