How Our Medical Device Security Platform Works
Accelerate Healthcare IoT Cybersecurity Maturity
Cylera provides the easiest, most accurate, and extensible platform for healthcare IoT intelligence and security to optimize care delivery, service availability, and cyber defenses across diverse connected medical devices and infrastructure.
Powered by machine learning (ML) insights, the Cylera platform discovers, categorizes, assesses, and monitors healthcare IoT assets with high fidelity to deliver unparalleled inventory, usage telemetry, threat prioritization, analytics, and guided remediation.
Extensive Capabilities
Device Inventory
Threat Mitigation
Asset Intelligence
- Continuous visibility – identify, classify, and monitor healthcare IoT devices in real-time.
- Deep healthcare IoT device intelligence – capture make, model, OS, vendor, network services, SBoM attributes, and more.
- Inspect and assess device network traffic – analyze granular flow and communication attributes.
- Identify known and unknown devices – auto-categorize and assess without requiring retooling.
- Passive, real-time detection – identify vulnerabilities and indicators of compromise (IOCs) affecting healthcare IoT devices.
- Dynamic risk profiling – pinpoint actual attack surface risk and potential service impact.
- Efficient mitigation – prioritize threats with risk scores and remediate faster with detailed triage context and prescriptive remediation guidance.
- Zero trust – generate network segmentation policies and monitor zones.
- Rich analytics - obtain insights with interactive dashboards, filters, and reports.
- Compliance audit-readiness – utilize reports and data export of inventory, risks, threats, and event logs.
- Data sharing - integrate with popular network, security, asset, and service management systems for triage context and prescriptive remediation guidance.
- Healthcare IoT optimization - collect usage telemetry to enable optimization and cost savings.
Scalable Platform
Technology Advantage
Type Analysis
Readily extracts context per device from healthcare IoT traffic sent over known and unknown protocols while avoiding the limitations of DPI-based systems that rely on protocol decoder libraries.
Emulation
Uses network traffic emulation to create identical virtual healthcare IoT devices that can “stand in” for actual devices during active scans and probing.
Prioritization
Applies machine learning (ML) to correlate multi-source device, indicators of compromise (IOC), and in-service data to identify and prioritize actual threats with resolution guidance.
Integration
No code, self-service integrations with popular systems such as Firewall, NAC, SIEM, Segmentation, Vulnerability Management, Network Management, CMBD/CMMS, and ITSM.
Policy Manager
Provides precise rule generation, new healthcare IoT device auto-enrollment, and policy monitoring.