AI correlates logs, user behavior, and endpoints to stop attacks before downtime.
Project Overview
A multi-facility healthcare provider needed to detect advanced threats early without slowing clinicians. We built an AI-assisted security layer that ingests telemetry from endpoints, firewalls, EHR access logs, and identity systems, then flags risky behavior in real time. Automated playbooks isolate compromised devices and revoke tokens within minutes. The system stopped an attack path that would have exposed critical systems and halted operations—averting losses estimated at up to £10M.
