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Insights from the network layer.

Threat analysis, product thinking, and security research from the Personam team.

Healthcare Agentless Behavioral Threat Detection Architecture
Network Data Doesn't Lie

Healthcare Agentless Behavioral Threat Detection Architecture

Agentless behavioral threat detection turns raw network telemetry into actionable intelligence, revealing insider threats and credential misuse across healthcare networks without endpoint software agents.

Chuck Faughnan III · September 4, 2026 Read →
Detecting Living-off-the-Land Lateral Movement | Personam AI
Network Data Doesn't Lie

Detecting Living-off-the-Land Lateral Movement | Personam AI

Adversaries using legitimate administrative tools often bypass legacy EDR and SIEM defenses. Unsupervised network behavioral AI detects subtle cohort anomalies to intercept lateral movement before…

Chuck Faughnan III · September 4, 2026 Read →
Securing Acquired Regional Clinics Before Domain Integration
Uncategorized

Securing Acquired Regional Clinics Before Domain Integration

Healthcare mergers create immediate cybersecurity exposure across transitional network connections. Learn how agentless behavioral telemetry provides instant visibility and stops cross-domain credential abuse on Day…

Chuck Faughnan III · September 4, 2026 Read →
Beyond Signatures: Credential Exploitation Beneath Log Level
Insider Threat

Beyond Signatures: Credential Exploitation Beneath Log Level

Legacy SIEMs fail when adversaries use valid credentials and native OS tools. Personam provides agentless behavioral intelligence to expose credential exploitation beneath the log level…

Chuck Faughnan III · September 1, 2026 Read →