Implement User and Entity Behavior Analytics using Elasticsearch/OpenSearch to build behavioral baselines, calculate anomaly scores, perform peer group analysis, and detect insider threat indicators such as data exfiltration, privilege abuse, and unauthorized access patterns.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add mukul975/Anthropic-Cybersecurity-Skills/detecting-insider-threat-with-uebaCompatible with
Supported agents
| name | detecting-insider-threat-with-ueba |
| description | Implement User and Entity Behavior Analytics using Elasticsearch/OpenSearch to build behavioral baselines, calculate anomaly scores, perform peer group analysis, and detect insider threat indicators such as data exfiltration, privilege abuse, and unauthorized access patterns. |
| domain | cybersecurity |
| subdomain | threat-detection |
| tags | - ueba - insider-threat - anomaly-detection - elasticsearch - behavior-analytics - machine-learning - siem |
| version | '1.0' |
| author | mahipal |
| license | Apache-2.0 |
| nist_csf | - DE.CM-01 - DE.AE-02 - DE.AE-06 - ID.RA-05 |
User and Entity Behavior Analytics (UEBA) moves beyond static rule-based detection to model normal behavior for users, hosts, and applications, then flag statistically significant deviations that may indicate insider threats. Using Elasticsearch as the analytics backend, this skill covers building behavioral baselines from authentication logs, file access events, and network activity, computing risk scores using statistical deviation and peer group comparison, and correlating multiple low-confidence indicators into high-confidence insider threat alerts.
Configure log pipelines to ingest authentication, file access, email, and network logs into Elasticsearch with a unified user identity field.
Calculate per-user baselines for login times, data volume, application usage, and access patterns over a rolling 30-day window using Elasticsearch aggregations.
Compare current activity against baselines using z-score deviation and peer group comparison to generate per-user risk scores.
Combine multiple anomalous indicators (unusual hours + large downloads + new system access) into composite risk scores that trigger SOC investigation workflows.
JSON report containing per-user risk scores, anomalous activity details, peer group deviations, and recommended investigation actions.
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondetecting-insider-threat-with-uebaExecute the skills CLI command in your project's root directory to begin installation:
epx add mukul975/Anthropic-Cybersecurity-Skills/detecting-insider-threat-with-uebaFetches detecting-insider-threat-with-ueba from mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/detecting-insider-threat-with-ueba
Restart Cursor to activate detecting-insider-threat-with-ueba. Access via /detecting-insider-threat-with-uebain your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
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✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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I recommend detecting-insider-threat-with-ueba for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Registry listing for detecting-insider-threat-with-ueba matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: detecting-insider-threat-with-ueba is focused, and the summary matches what you get after install.
Keeps context tight: detecting-insider-threat-with-ueba is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: detecting-insider-threat-with-ueba is focused, and the summary matches what you get after install.
detecting-insider-threat-with-ueba has been reliable in day-to-day use. Documentation quality is above average for community skills.
detecting-insider-threat-with-ueba fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
detecting-insider-threat-with-ueba is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
detecting-insider-threat-with-ueba reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in detecting-insider-threat-with-ueba — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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