Individual skill
detecting-aws-cloudtrail-anomalies
Detect unusual API call patterns in AWS CloudTrail logs using boto3, statistical baselining, and behavioral analysis to identify credential compromise, privilege escalation, and unauthorized resource access.
internal/tools/skills/data/threat-hunting/detecting-aws-cloudtrail-anomalies/SKILL.md
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- Last checked
- Nov 9, 2026
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- Repository last updated
- Nov 8, 2026
- License
- Apache-2.0
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- cybersecurity Repository topic
- security Repository topic
- bug-bounty Repository topic
- automation Repository topic
- autonomous-pentesting Repository topic
- ai-agent Repository topic
- ai-security Repository topic
- ethical-hacking Repository topic
- golang Repository topic
- penetration-testing Repository topic
- cloud-security Declared skill tag
- aws Declared skill tag
- cloudtrail Declared skill tag
- anomaly-detection Declared skill tag
- threat-detection Declared skill tag
- boto3 Declared skill tag
- security Derived category
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# Detecting AWS CloudTrail Anomalies
## Overview
AWS CloudTrail records API calls across AWS services. This skill covers querying CloudTrail events with boto3's `lookup_events` API, building statistical baselines of normal API activity, detecting anomalies such as unusual event sources, geographic anomalies, high-frequency API calls, and first-time API usage patterns that indicate compromised credentials or insider threats.
## When to Use
- When investigating security incidents that require detecting aws cloudtrail anomalies
- When building detection rules or threat hunting queries for this domain
- When SOC analysts need structured procedures for this analysis type
- When validating security monitoring coverage for related attack techniques
## Detection Gaps & Validation