Individual skill

performing-user-behavior-analytics

Performs User and Entity Behavior Analytics (UEBA) to detect anomalous user activities including impossible travel, unusual access patterns, privilege abuse, and insider threats using SIEM-based behavioral baselines and statistical analysis. Use when SOC teams need to identify compromised accounts or insider threats through deviation from established behavioral norms.

internal/tools/skills/data/soc-operations/performing-user-behavior-analytics/SKILL.md

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Observed behavior: Network or broad shell
Last checked: Nov 9, 2026

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Repository stars (not skill ratings): 1,322
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
soc Declared skill tag
ueba Declared skill tag
user-behavior Declared skill tag
insider-threat Declared skill tag
anomaly-detection Declared skill tag
splunk Declared skill tag
baseline Declared skill tag
data Derived category
security Derived category

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SKILL.mdcore · 12,125 bytes

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# Performing User Behavior Analytics

## When to Use

Use this skill when:
- SOC teams need to detect compromised accounts through abnormal authentication patterns
- Insider threat programs require behavioral monitoring beyond rule-based detection
- Impossible travel or geographic anomalies indicate credential compromise
- Privileged account monitoring requires baseline deviation detection

**Do not use** as the sole basis for disciplinary action — UEBA findings are indicators requiring investigation, not proof of malicious intent.

## Detection Gaps & Validation

- **Baseline poisoning:** if the 30–90 day window used to build `avg`/`stdev` already contains the attacker's activity (a slow-burn insider, a long-dwell compromised account), their behavior becomes "normal" and the z-score never trips. Validate the baseline window is clean, and rebuild baselines from a known-good period when investigating a confirmed incident.