detecting-insider-threat-with-ueba▌
mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026
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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.
| 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 |
Detecting Insider Threat with UEBA
Overview
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.
When to Use
- When investigating security incidents that require detecting insider threat with ueba
- 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
Prerequisites
- Elasticsearch 8.x or OpenSearch 2.x cluster with security audit data
- Log sources: Active Directory authentication, VPN, DLP, file server access, email
- Python 3.9+ with elasticsearch client library
- Baseline period of 30+ days of normal user activity data
- Defined peer groups based on department, role, or job function
Steps
Step 1: Ingest and Normalize Activity Logs
Configure log pipelines to ingest authentication, file access, email, and network logs into Elasticsearch with a unified user identity field.
Step 2: Build Behavioral Baselines
Calculate per-user baselines for login times, data volume, application usage, and access patterns over a rolling 30-day window using Elasticsearch aggregations.
Step 3: Calculate Anomaly Scores
Compare current activity against baselines using z-score deviation and peer group comparison to generate per-user risk scores.
Step 4: Correlate and Alert
Combine multiple anomalous indicators (unusual hours + large downloads + new system access) into composite risk scores that trigger SOC investigation workflows.
Expected Output
JSON report containing per-user risk scores, anomalous activity details, peer group deviations, and recommended investigation actions.
How to use detecting-insider-threat-with-ueba on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add detecting-insider-threat-with-ueba
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches detecting-insider-threat-with-ueba from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate detecting-insider-threat-with-ueba. Access the skill through slash commands (e.g., /detecting-insider-threat-with-ueba) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ 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.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★62 reviews- ★★★★★Harper Flores· Dec 24, 2024
I recommend detecting-insider-threat-with-ueba for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Valentina Chen· Dec 20, 2024
Registry listing for detecting-insider-threat-with-ueba matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Aisha Agarwal· Dec 16, 2024
Solid pick for teams standardizing on skills: detecting-insider-threat-with-ueba is focused, and the summary matches what you get after install.
- ★★★★★Harper Khanna· Dec 16, 2024
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.
- ★★★★★Dhruvi Jain· Dec 12, 2024
Solid pick for teams standardizing on skills: detecting-insider-threat-with-ueba is focused, and the summary matches what you get after install.
- ★★★★★Olivia Huang· Dec 4, 2024
detecting-insider-threat-with-ueba has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Chen Smith· Nov 23, 2024
detecting-insider-threat-with-ueba fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Anika Sanchez· Nov 15, 2024
detecting-insider-threat-with-ueba is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Valentina Yang· Nov 15, 2024
detecting-insider-threat-with-ueba reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Harper Martinez· Nov 11, 2024
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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