Implements endpoint Data Loss Prevention (DLP) controls to detect and prevent sensitive data exfiltration through email, USB, cloud storage, and printing. Use when deploying DLP agents, creating content inspection policies, or preventing unauthorized data movement from endpoints. Activates for requests involving DLP, data exfiltration prevention, content inspection, or sensitive data protection on endpoints.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionimplementing-endpoint-dlp-controlsExecute the skills CLI command in your project's root directory to begin installation:
Fetches implementing-endpoint-dlp-controls 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:
Restart Cursor to activate implementing-endpoint-dlp-controls. Access via /implementing-endpoint-dlp-controls in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
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
0
total installs
0
this week
8.6K
GitHub stars
0
upvotes
Run in your terminal
0
installs
0
this week
8.6K
stars
| name | implementing-endpoint-dlp-controls |
| description | 'Implements endpoint Data Loss Prevention (DLP) controls to detect and prevent sensitive data exfiltration through email, USB, cloud storage, and printing. Use when deploying DLP agents, creating content inspection policies, or preventing unauthorized data movement from endpoints. Activates for requests involving DLP, data exfiltration prevention, content inspection, or sensitive data protection on endpoints. ' |
| domain | cybersecurity |
| subdomain | endpoint-security |
| tags | - endpoint - DLP - data-loss-prevention - data-protection - content-inspection |
| version | 1.0.0 |
| author | mahipal |
| license | Apache-2.0 |
| atlas_techniques | - AML.T0024 - AML.T0056 |
| nist_ai_rmf | - GOVERN-1.1 - MEASURE-2.7 - MANAGE-3.1 - MAP-5.1 - MANAGE-2.4 |
| nist_csf | - PR.PS-01 - PR.PS-02 - DE.CM-01 - PR.IR-01 |
Use this skill when:
Do not use for network DLP (inline proxy-based) or cloud-only DLP (CASB).
Microsoft Purview → Data Classification → Sensitive info types
Built-in SITs for common data:
- Credit card number (PCI)
- Social Security Number (PII)
- Health records (HIPAA)
- Passport number
- Bank account number
Custom SIT example (Employee ID):
Pattern: EMP-[0-9]{6}
Confidence: High
Keywords: "employee id", "emp id", "staff number"
Microsoft Purview → Data loss prevention → Policies → Create policy
Policy Configuration:
1. Template: Financial / Medical / PII (or custom)
2. Locations: Devices (endpoint DLP)
3. Conditions:
- Content contains: Credit card numbers (min 5 instances)
- OR Content contains: SSN (min 1 instance)
4. Actions:
- Block: Prevent copy to USB, cloud, email
- Audit: Log but allow (for initial deployment)
- Notify: Show user notification with policy tip
5. User notifications:
- "This file contains sensitive data and cannot be copied to this location"
- Allow override with business justification (optional)
Monitored endpoint activities:
- Upload to cloud service (OneDrive, Dropbox, Google Drive)
- Copy to removable media (USB drives)
- Copy to network share
- Print document
- Copy to clipboard
- Access by unallowed browser (non-managed browser)
- Access by unallowed app
- Copy to Remote Desktop session
For each activity, configure:
- Audit only (log the action)
- Block with override (user can justify and proceed)
- Block (prevent action entirely)
Deploy DLP policy in "Test mode with notifications" first:
1. Policy runs in audit mode for 2-4 weeks
2. Review DLP alerts in Activity Explorer
3. Identify false positives
4. Tune SIT patterns and conditions
5. Add exclusions for legitimate workflows
6. Switch to "Turn on the policy" (enforcement)
Purview → Data loss prevention → Activity explorer
Key metrics:
- DLP policy matches per day/week
- Top matched sensitive info types
- Top users triggering DLP
- Top activities blocked (USB, cloud, email)
- Override rate (percentage of blocks overridden)
DLP incident response:
1. Review DLP alert with matched content
2. Verify sensitivity of detected data
3. Assess intent (accidental vs. intentional)
4. If intentional exfiltration → escalate to security incident
5. If accidental → educate user, refine policy
| Term | Definition |
|---|---|
| DLP | Data Loss Prevention; technology that detects and prevents unauthorized transmission of sensitive data |
| SIT | Sensitive Information Type; pattern matching rules for identifying sensitive data (regex, keywords, ML classifiers) |
| Policy Tip | User-facing notification explaining why an action was blocked and how to request an override |
| Content Inspection | Deep inspection of file contents to identify sensitive data patterns |
| Exact Data Match (EDM) | DLP matching against a specific database of known sensitive values (exact SSNs, employee records) |
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
implementing-endpoint-dlp-controls reduced setup friction for our internal harness; good balance of opinion and flexibility.
implementing-endpoint-dlp-controls has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend implementing-endpoint-dlp-controls for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in implementing-endpoint-dlp-controls — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
implementing-endpoint-dlp-controls is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: implementing-endpoint-dlp-controls is focused, and the summary matches what you get after install.
We added implementing-endpoint-dlp-controls from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
implementing-endpoint-dlp-controls is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in implementing-endpoint-dlp-controls — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for implementing-endpoint-dlp-controls matched our evaluation — installs cleanly and behaves as described in the markdown.
showing 1-10 of 52