Skip to content

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.

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 →

Operate LLM monitoring + testing + red teaming + user education. Requirements include (a) maintain comprehensive logging for LLM systems including inputs + outputs + tool calls + retrieved content + with appropriate retention + privacy controls + (b) implement...

OWASPLLM-8 · LLM Monitoring, Testing, Red Teaming, and User Education →

Security monitoring practices are implemented at the network or infrastructure, application and transaction layers so the DSP can scan its environment for threats and act on anomalies; monitoring is a joint responsibility of the ATO and the DSP.

ato-digital-service-provider-dsp-operational-security-framework::SEC.MONITOR · Security monitoring at network, application and transaction layers →

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 1,016 frameworks with 316K cross-framework control mappings.
Which compliance frameworks address Anomaly Detection?
Anomaly Detection appears in the requirement text of 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, OWASP Top 10 for LLM Applications 2025, ATO Digital Service Provider (DSP) Operational Security Framework. Across these standards we have identified 7 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 1,016 frameworks.

See how Anomaly Detection applies across compliance frameworks

Our platform maps 1,016 frameworks with 316K cross-framework control mappings. Explore how this concept is addressed across standards.

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