In a hospital, the wrong automated action isn't a mistake. It's a patient.
The industry is racing toward full autonomous response. We made a different choice, deliberately. Personam correlates the evidence, identifies the affected entities, and scores the threat. Your team pulls the trigger.
Most security platforms were built for enterprise IT environments, managed endpoints, consistent identities, patchable systems. Hospitals are something else entirely. These are the specific realities that break credential-based and signature-based tools.
Nurses share workstation logins. Shift-based workflows mean multiple people authenticate as the same user. Tools that rely on identity see nothing wrong.
MRI machines, infusion pumps, ventilators, they can't run endpoint agents, can't be safely scanned, and can't be taken offline to patch. Many run end-of-life systems that cannot be patched.
Clinical systems from vendors who no longer exist. Custom software tied to specific OS versions. Infrastructure nobody is allowed to touch because the liability outweighs the risk.
Dozens of third-party vendors connect to biomedical systems, HVAC, and facility controls. Most connect through shared or default credentials that nobody has changed in years.
Clinical, administrative, research, and facilities infrastructure often sit on the same network. An attacker who gets in anywhere can reach everything, fast.
Attackers know it too. Security teams can't quarantine a device mid-procedure. Every response decision has a patient on the other side. That asymmetry is leverage.
Not adapted from an enterprise tool. Not bolted onto an EDR. Built from first principles for the environments where identity can't be trusted, devices can't run agents, and the wrong automated action has real consequences.
Nurses share workstation logins. MRI machines run on legacy credentials. Every tool that relies on identity to detect threats is effectively blind in your environment.
Clinical workflows depend on shared logins across devices, departments, and shifts. Identity-based security can't distinguish a nurse from an attacker using the same account.
Biomedical equipment, IoT sensors, and networked imaging systems rarely support endpoint agents. Most security platforms simply don't see them.
Regional health systems dedicate every possible resource to patient care. A lean IT team shouldn't mean a vulnerable network.
You have to put packets on the network to exfiltrate data. To move laterally. To abuse a compromised account. That's how Personam sees the behavior identity-based tools miss.
Personam was designed for networks where identity can't be trusted and device coverage can't have gaps. No agents, no signatures, no rules.
Personam’s behavioral intelligence engine, continuously mapping your entire hospital network. 8,000+ entities across Clinical, Admin, Data Center, and IoT zones. Every device profiled from its first packet. Every deviation visible the moment it drifts past tolerance.
When a nurse and an attacker use the same workstation login, Personam doesn't trust the credential, it evaluates the behavior. Which resources, what pattern, at what time, against what every peer device does. The network doesn't lie.
480 infusion pumps. 380 patient monitors. 40 ventilators. 820 HVAC sensors. Devices that cannot host an agent are profiled from their first packet, with nothing installed on them.
Network metadata only. No decryption, no PHI access. Your patient data stays inside your walls. HIPAA-aligned by architecture, not by afterthought.
Personam detects what no rule could anticipate, because it learned what normal looks like on your specific network. No signatures to update. No pretrained models to tune. Discovery in hours. Continuous learning from there.
Personam assembles the case: which devices, which credentials, which entities are affected, and how severe it is. Your team decides what happens next.
Not a dashboard. Not a report. A continuously evolving behavioral model of every entity on your network, organized by peer group, zone, and system. Discovered, not configured.
Hour 0. One network tap. Personam begins baselining immediately, no agents, no firewall changes. Your team won't feel it go in.
Every monitored entity profiled against its own history and against its behavioral family, ICU nurses, infusion pumps, billing workstations, badge readers. Organization identity discovered, not configured.
The map shows what behavior reveals. A server backing up somewhere the rest of its family never does. A senior insider staging client material at 3am. Both caught mid-creep.
Personam assembles the case: devices, credentials, affected entities, severity. Your team reviews and decides. The AI investigated. You respond.
Healthcare faces a unique combination of threat vectors. Personam was built to address each one without adding burden to your clinical or IT teams.
Ransomware moves laterally for days before encrypting. Personam detects the anomalous behavior during reconnaissance, before a single file is locked.
Ransomware DefenseThree weeks of off-baseline file access, culminating in 4.2GB staged to external storage, patient records, contracts, billing. Personam flagged the pattern weeks before the final exfiltration. This is an HR case before an IT case. Your legal team needs to know before your IT team acts.
Insider ThreatShared nurse station terminals monitored at the session level. Personam detects the moment a compromised session acts differently than thousands of prior sessions on the same machine.
Shared CredentialsAll biomedical equipment covered through network behavior monitoring. No agent, no firmware access required.
IoT / Medical DevicesPersonam maps directly to the continuous monitoring, anomalous activity detection, and access control requirements your organization needs to demonstrate compliance.
View all compliance frameworks →The HIPAA Security Rule addresses monitoring of access to electronic PHI. Personam provides 24/7 behavioral monitoring across every device, including unagentable clinical devices that HHS 405(d) specifically flags as an unmonitored risk category.
HIPAA §164.312(b) requires detecting activity inconsistent with authorized access. Personam's behavioral baseline is purpose-built to satisfy this requirement, including shared credential environments.
Every detected anomaly logged with full context, giving your compliance and legal teams the documentation they need when it matters most.
No rip-and-replace, no agent rollout, no impact to clinical operations. Designed for lean IT teams who can't afford a months-long deployment project.
One tap or SPAN port. No changes to existing infrastructure.
Configuration takes minutes. Fully on-premise deployment is available where zero telemetry egress is required.
Behavioral baselines start building from the first packet. Initial detection capability within hours.
Alerts and the full investigation surface in your dashboard. Your analysts decide. Personam does not act on its own.
No slides. No pitch deck. We'll show you what Personam detects in an environment like yours, in under 30 minutes.
Schedule a Demo Talk to Our Team