Personam is autonomous AI threat detection for networks where uptime, trust and rapid threat detection are mission-critical, as they are in healthcare.

Hospitals are high-value, downtime-intolerant environments where traditional security assumptions often break down. Shared credentials, shared workstations, unmanaged medical devices, IoT, and complex internal traffic create blind spots that legacy tools and endpoint-dependent approaches can miss.

Personam helps healthcare organizations detect hidden threats inside the network before they disrupt operations, compromise sensitive data, or impact patient care. Using psychometric AI, adaptive baselining, and network-layer visibility, Personam continuously learns how your environment behaves so it can identify suspicious activity quickly, with low noise and minimal burden on lean security teams.

The platform deploys in hours, not days, works where agents do not, and detects threats in minutes, not weeks or months. It is built to give healthcare organizations broader visibility across managed and unmanaged assets, including medical devices and other systems that are difficult to monitor with traditional tools.

Personam brings a new layer of defense to healthcare: autonomous detection designed for complex environments, operational resilience, and real-world care delivery risk.

Visit personam.ai to learn more.

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