Threat Detection
Identifying active or emerging threats in real time. Requires behavioral analysis for IoT, OT, and IoMT devices that are invisible to signature-based detection tools and traditional EDR platforms.
What is Threat Detection?
Identifying active or emerging threats in real time. Requires behavioral analysis for IoT, OT, and IoMT devices that are invisible to signature-based detection tools and traditional EDR platforms.
Threat detection is the capability to identify active or emerging security threats in real time — whether through signature matching, behavioral anomaly detection, indicator matching, or AI-powered analysis. Effective threat detection in connected asset environments requires methods that work for device types that don't generate traditional endpoint telemetry.
For IT environments, threat detection has matured significantly: EDR platforms provide rich process-level behavioral detection, SIEM correlates events across data sources, and NDR platforms analyze network traffic. IoT and OT environments have historically been detection dead zones: devices generate no endpoint telemetry, produce no logs, and communicate over proprietary protocols that IT security tools don't understand.
Network-based behavioral detection is the primary viable approach for IoT and OT threat detection. By establishing behavioral baselines for device communication patterns and monitoring for deviations — unexpected connections, unusual protocol behavior, anomalous data volumes — network-layer detection can identify threats affecting devices that have no native security capability. This approach catches the network-observable effects of attacks even when the attack itself is entirely on-device.
Key Facts
- Behavioral detection catches threats that signature-based tools miss — including novel attacks and living-off-the-land techniques
- Protocol-level OT threat detection catches attacks that operate within normal IP/port combinations
- ORDR's threat detection covers 100+ IoT, OT, and medical device protocol types
- Mean time to detect (MTTD) in environments with behavioral detection is 60% lower than signature-only environments
How ORDR Addresses Threat Detection
ORDR provides threat detection for connected assets through a combination of behavioral anomaly detection (deviations from device-specific baselines), known IoC matching (CISA KEV, threat intelligence feeds), protocol-level anomaly detection (unusual OT command patterns), and AI-powered correlation through ORDR IQ. Detected threats are enriched with device context and risk scores for prioritized investigation.
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ORDR unifies IT, IoT, and OT asset intelligence so your team can see—and act on—what matters most.