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, and Kersev does not operate a data plane of its own. When you designate a ServiceNow or Slack tenant, Kersev posts only what you allowlisted, at the class you set, and records each post on the audit row. Restricted content never posts. A post to a tool you already run is not telemetry, and it is not a crossing to Kersev.
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.