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Private-network AI for regulated enterprises

Healthcare and financial services can't send infrastructure telemetry to a third-party SaaS. Here's how Kersev AI runs entirely inside your perimeter.

For most enterprises, AI-powered observability means shipping telemetry to a vendor's cloud. For regulated enterprises in healthcare and financial services, that's a non-starter. HIPAA, PCI DSS, and data-residency requirements make external data egress complex, risky, and sometimes impossible.

Inside your perimeter

Kersev AI deploys inside your own private network. The detection engine, the diagnostic models, and the resolution orchestrator all run on infrastructure you control. No infrastructure telemetry leaves your environment. There is no third-party data plane.

Auditability by design

Every autonomous action is logged with a full causal chain: what was detected, what was diagnosed, what was resolved, and why. For a regulated enterprise, that means an incident isn't just fixed — it's explainable. Auditors get a trail. Compliance teams get evidence. Engineers get their evenings back.

Built for the environments that can't afford to be wrong

When a trading platform goes down, markets notice. When a clinical system goes down, patients notice. Kersev AI is built for those environments — where the cost of a Sev-1 is measured in more than dollars.