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Anomaly Detection

What is Anomaly Detection?

The identification of patterns in data that deviate from expected behavior, used in security to detect intrusions, fraud, and other threats.

Information Security

Each of these is named in at least one of the same controls as anomaly detection. The number is how many controls name both.

What the standards actually require on anomaly detection

Requirements naming anomaly detection across 6 standards, quoted from the control text.

Detect is the third of five functional elements per MSC-FAL.1/Circ.3/Rev.2. Activities include: (1) Anomaly Detection - behavioural baselines for OT systems (bridge equipment patterns + engine room SCADA + propulsion + cargo) + network anomaly detection (deep...

IMO-MSC-FAL-Detect-AnomalyDetection-OT-IT-Monitoring-Reporting-BridgeAlarms · IMO MSC-FAL Detect Function - Anomaly Detection + OT and IT System Monitoring + Bridge Alarms + Log Aggregation + Incident Reporting Channels + Crew Observation

Implement OT audit + monitoring + anomaly detection per NIST SP 800-82 Rev 3 Chapter 6 (Security Architecture) + Chapter 7. OT audit and logging must (a) capture host audit events from OT workstations + engineering workstations + HMI + historian + AD + identit...

NISTSP82-6 · OT Audit, Monitoring, Anomaly Detection, and OT-Specific SOC

Operate log analysis per NIST SP 800-92 Chapter 5 (Operational Processes) + Section 5.12 (Performing Log Analysis). Correlation and detection rules per Section 5.12.1: implement correlation rules combining signals across sources (authentication + endpoint + ne...

NISTSP92-5 · Log Analysis: Correlation, Baselining, Anomaly Detection, Alerting, Manual Review

Detect anomalous telemetry, attitude changes and command sequences that could indicate cyber compromise of a spacecraft.

SISAC-09 · On-Orbit Anomaly Detection

Logging, monitoring, anomaly detection, and EDR with documented coverage and tuning.

FFIEC-CAT-CC-3 · Cybersecurity Controls - Detective Controls

Questions people ask about anomaly detection

What is Anomaly Detection?
The identification of patterns in data that deviate from expected behavior, used in security to detect intrusions, fraud, and other threats.
Why is Anomaly Detection important for compliance?
Anomaly Detection is a key concept in Information Security. Understanding anomaly detection helps organizations meet regulatory requirements, reduce risk, and demonstrate due diligence during audits. Our compliance platform maps 686 frameworks with 311K cross-framework control mappings.
Which compliance frameworks address Anomaly Detection?
Anomaly Detection appears in the requirement text of IMO Maritime Cybersecurity Guidelines (MSC-FAL.1/Circ.3/Rev.2), NIST SP 800-82 Revision 3: Guide to Industrial Control Systems (ICS) Security, NIST SP 800-92, Space ISAC (Information Sharing and Analysis Center) - Threat Framework, FFIEC Cybersecurity Assessment Tool (CAT). Across these standards we have identified 8 controls that name it directly, each linked to the control text on the compliance platform.
Where can I learn more about Anomaly Detection?
Explore our compliance framework pages to see how anomaly detection applies across different standards and regulations. Our implementation guides provide step-by-step guidance, and the compliance platform offers AI-powered analysis of how this concept maps across 686 frameworks.

See how Anomaly Detection applies across compliance frameworks

Our platform maps 686 frameworks with 311K cross-framework control mappings. Explore how this concept is addressed across standards.

Written and maintained by Gerard Blokdyk, The Art of Service.