Enterprise & private AI
Secure the AI You Build and Run Yourself.
Enterprises are deploying private GPU capacity and AI workloads alongside existing systems. CyberActive AI is designed to bring infrastructure-aware security and resilience intelligence to these hybrid environments, complementing the security investments you already have.
Private GPU deployments
Context across on-premises GPU clusters, their management systems, and the workloads they run.
Hybrid AI infrastructure
Dependency awareness spanning data center, cloud, and SaaS services used by AI pipelines.
Enterprise identity and data
Relate AI workload activity to enterprise identities, data stores, and privileged access.
Existing security investments
Designed to work with SIEM, XDR, SOAR, and cloud security tools rather than replace them.
Governed autonomy
Observe, Approve, and Autonomous modes aligned to enterprise change control.
Executive risk visibility
Operational and business impact framed for CISOs, CTOs, and risk owners.
Capabilities describe the platform as designed. Outcomes are intended benefits and are validated per engagement; integrations are confirmed during technical evaluation.
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.