Ten detailed agent workflows for IoT device fingerprinting, anomalous communication detection, botnet identification, smart device threat assessment, IoT firmware vulnerability tracking, industrial IoT protection, smart home security profiling, IoT protocol classification, device behavior baselining, and IoT threat landscape intelligence — using domain behavior analysis for comprehensive IoT network defense.
AI agent fingerprints IoT devices by analyzing which domains they communicate with, using domain intelligence to identify device type, manufacturer, firmware version, and potential vulnerabilities.
AI agent detects IoT devices recruited into botnets by analyzing domain communication anomalies — new C2 connections, DGA patterns, and unusual traffic volumes from device types that should have predictable behavior.
AI agent builds security profiles for subscriber smart home ecosystems, identifying device vulnerabilities, insecure communication patterns, and privacy risks across all connected devices.
AI agent monitors industrial IoT traffic from enterprise subscribers, detecting anomalous SCADA/ICS communications and unauthorized connections from operational technology devices.
AI agent tracks IoT vendor firmware updates by monitoring /security and /support pages, correlating with known CVEs to identify devices that need patching on the ISP network.
AI agent classifies IoT communication protocols — MQTT, CoAP, Zigbee gateways, Z-Wave hubs — using domain intelligence to map protocol usage and enforce security policies per protocol type.
AI agent assesses IoT data privacy risks by analyzing which domains devices send data to, checking data handling policies, and identifying devices that transmit data to high-risk jurisdictions.
AI agent assesses IoT manufacturer supply chain risks using domain intelligence — manufacturer legitimacy, country of origin, security practices, and vulnerability disclosure processes.
AI agent establishes baseline communication patterns for each IoT device type and detects deviations — new domains, unusual bandwidth, changed timing — that indicate compromise or malfunction.
AI agent produces comprehensive IoT threat landscape dashboards aggregating all IoT security metrics — device inventory, vulnerability status, botnet activity, and threat forecasting.
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