Individual skill
investigating-insider-threat-indicators
Investigates insider threat indicators including data exfiltration attempts, unauthorized access patterns, policy violations, and pre-departure behaviors using SIEM analytics, DLP alerts, and HR data correlation. Use when SOC teams receive insider threat referrals from HR, detect anomalous data movement by employees, or need to build investigation timelines for potential insider threats.
internal/tools/skills/data/soc-operations/investigating-insider-threat-indicators/SKILL.md
Source commit d42f381ad34843e71a42658e5c57290c713e85af
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- Last checked
- Nov 7, 2026
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Repository context
- Repository stars (not skill ratings)
- 1,313
- Repository last updated
- Nov 7, 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
- insider-threat Declared skill tag
- data-exfiltration Declared skill tag
- dlp Declared skill tag
- ueba Declared skill tag
- investigation Declared skill tag
- hr-correlation Declared skill tag
- data Derived category
- security Derived category
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# Investigating Insider Threat Indicators
## When to Use
Use this skill when:
- HR refers a departing employee for monitoring during their notice period
- DLP alerts indicate bulk data downloads or transfers to personal storage
- UEBA detects anomalous access patterns deviating significantly from peer baselines
- Management reports concerns about an employee accessing sensitive data outside their role
**Do not use** without proper legal authorization — insider threat investigations must be coordinated with HR, Legal, and Privacy teams before monitoring begins.
## Detection Gaps & Validation
- **Low-and-slow exfiltration:** investigators anchor on a single bulk-download spike and miss the subject who pulls 50–100 files/day for weeks, each under the DLP threshold. Aggregate over 60–90 days and compare cumulative volume to the role/peer baseline, not per-day counts.