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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 →
Why Log Aggregation Fails: Real-Time Metadata-First NDR
Network Data Doesn't Lie

Why Log Aggregation Fails: Real-Time Metadata-First NDR

Log files are downstream, derivative, and easily cleared by adversaries. Learn how metadata-first NDR operates below log files to detect threats within seconds.

Chuck Faughnan III · September 4, 2026 Read →
Agentless Behavioral Detection | Stop Low & Slow Attacks
Uncategorized

Agentless Behavioral Detection | Stop Low & Slow Attacks

Personam delivers agentless behavioral detection that stops low and slow network attacks and living-off-the-land tradecraft without host software or complex rule tuning.

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 →
Beyond Log Files: Behavioral Baselining for Credential Abuse
Healthcare Security

Beyond Log Files: Behavioral Baselining for Credential Abuse

Traditional SIEM log analysis and static correlation rules are blind to attackers operating with valid credentials. Continuous behavioral baselining inspects network traffic layers below log…

Chuck Faughnan III · August 27, 2026 Read →
Mitigating Healthcare Insider Threats via Behavioral Telemetry
Healthcare Security

Mitigating Healthcare Insider Threats via Behavioral Telemetry

Securing EHR environments against compromised credentials requires continuous, agentless behavioral telemetry. Learn how peer baselining stops unauthorized lateral movement without disrupting clinical care.

Chuck Faughnan III · August 27, 2026 Read →
The Limits of Legacy Network Security: Why Behavioral Detection Must Evolve
Healthcare Security

The Limits of Legacy Network Security: Why Behavioral Detection Must Evolve

Modern threat actors don’t break in. They log in. When adversaries use valid credentials, native administrative tools like PowerShell or WMI, and approved network protocols,…

Probson · August 27, 2026 Read →
Securing Acquired Regional Clinics Before Domain Integration
Healthcare Security

Securing Acquired Regional Clinics Before Domain Integration

Healthcare acquisitions create immediate network visibility gaps before Active Directory consolidation. Agentless behavioral telemetry provides Day 1 threat detection without relying on endpoint agents or…

Chuck Faughnan III · August 17, 2026 Read →
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