Cylera IoT Security Platform provides visibility and security for IoT and IoMT (Internet of Medical Things) devices across enterprise environments. The platform uses machine learning to discover, classify, and monitor IoT assets in real-time without requiring agents or network scanning of devices. The platform captures device attributes including make, model, operating system, vendor, network services, and Software Bill of Materials (SBoM) information. It analyzes network traffic to identify communication patterns and assess device behavior. For risk management, Cylera performs passive, real-time detection of vulnerabilities and indicators of compromise affecting IoT devices. The platform generates dynamic risk profiles to identify attack surface risks and potential service impacts. It provides risk scores and prescriptive remediation guidance for threat prioritization and mitigation. The platform includes network segmentation policy generation capabilities and zone monitoring for zero trust implementations. It offers analytics through interactive dashboards, filters, and reports for compliance audit-readiness. Cylera uses adaptive data type analysis to extract context from IoT traffic over known and unknown protocols. The platform employs network traffic emulation to create virtual representations of IoT devices for active scanning without impacting actual devices. Deployment is agentless and relies on network traffic analysis. The platform integrates with firewall, NAC, SIEM, vulnerability management, network management, CMDB/CMMS, and ITSM systems through self-service integrations.