TL;DR: Normal-looking compromise can still evade detection, because connected devices may behave as expected while malicious or abused, Ordr argues. Behavioural baselines must surface unusual communication, not just generate alerts.
Editorial analysis by NHI Mgmt Group, based on content published by Ordr: “Understanding Anomaly Detection: When Visibility Became Insight”.
Key questions
Q: Why does improved visibility not automatically improve device security?
A: Visibility shows that a device is connected, but it does not show whether its behaviour is legitimate.
Q: What are the signs that anomaly detection is failing on device networks?
A: A common sign is that teams see many alerts but few meaningful deviations, or they miss changes such as devices reaching unfamiliar domains or behaving outside their normal communication pattern.
Q: What breaks when security teams rely on signatures to stop modern malware?
A: Signature-only defense breaks when attackers reuse trusted tools, mutate code, or switch to fileless execution.
Practitioner guidance
- Define behavioural baselines for high-value device classes Map normal communication peers, protocols, destinations, and frequency for OT, medical, and unmanaged devices so deviations have a reference point.
- Prioritise devices without endpoint telemetry Treat assets that do not generate traditional logs as higher monitoring priority and compensate with network behaviour analytics.
- Tune alerting around unusual external communication Escalate devices that begin talking to unknown domains or unfamiliar external servers, even when malware signatures are absent.
Bottom line: Better visibility does not eliminate compromise risk when connected devices can still behave normally while malicious or abused.
Glossary terms: Anomaly Detection, Behavioural Analytics, Configuration Baseline, Behavioral Trust Gap
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Behavioral analytics is now a governance control, not just a detection technique. The article shows that visibility and discovery can improve while the organisation still misses compromise if it cannot distinguish legitimate from abnormal device behaviour. For teams governing connected devices, the control question shifts from inventory completeness to behavioural trust boundaries. That makes anomaly detection part of operational governance, not an optional SOC enhancement.
A few things that frame the scale:
- Only 5.7% of organisations have full visibility into their service accounts, according to the Ultimate Guide to NHIs.
- By 2029, 40% of enterprises that successfully implement zero trust within cloud service provider environments will rely on the advanced visibility and control capabilities offered by CNAPP solutions.
A question worth separating out:
Q: How should teams monitor unmanaged and OT devices differently from laptops?
A: They should monitor them by expected behaviour, not by endpoint tooling assumptions. That means baselining communication patterns, watching for unknown external destinations, and treating the absence of endpoint logs as a design constraint rather than a gap to ignore. Behavioural analytics becomes the compensating control.
👉 Read our full editorial: Behavioral analytics changes device visibility into attack detection