Palo Alto Networks (IoT Medical)
Device Security PlatformsMedical IoT Security with ML-powered device discovery, MDS2 risk assessment, behavioral anomaly detection, and Zero Trust clinical device segmentation.
Key Features
- ✓ ML-powered device discovery and classification using App-ID and deep packet inspection with three-tiered ML model
- ✓ MDS2-informed risk assessment with CVE, SBOM mapping, and Unit 42 threat intelligence integration
- ✓ Behavioral anomaly detection with automated security responses (e.g., bandwidth abuse isolation)
- ✓ Context-aware network segmentation with risk-based policy recommendations to restrict lateral movement
- ✓ Dual dashboards for IT and biomed engineering teams with AIMS and Epic Systems integration
What Sets Them Apart
Enterprise-grade Zero Trust medical device security with ML-powered discovery, MDS2-informed risk scoring, and automated threat response — backed by the scale and threat intelligence of a leading cybersecurity platform.
AI & Automation
Uses AI/ML
Three-tiered ML model for device identification, behavioral anomaly detection, and automated security response for medical IoT devices using network traffic analysis
Integrations
Epic Systems AIMS
Tags
iomt-security network-monitoring vulnerability-management
Trust Signals
Customers
70,000+ organizations in 150+ countries, including 85 of the Fortune 100
Investors / Funding
Public (NASDAQ: PANW)