Data Loss Prevention

---
name: data-loss-prevention
description: "Use when preventing data loss."
version: 1.0.0
author: Hermes Agent
license: MIT
platforms: [linux, macos, windows]
metadata:
  hermes:
    tags: [cybersecurity, dlp, data-protection, privacy]
    related_skills: ['data-leakage-prevention-in-skills']
---

## Overview
Prevent unauthorized data exfiltration using DLP technologies.

## When to Use
- "Data Loss Prevention design and architecture"
- "Best practices for Data Loss Prevention"
- "Data Loss Prevention implementation and deployment"
- "Data Loss Prevention optimization and monitoring"
- "Data Loss Prevention troubleshooting and scaling"

## Key Concepts
1. Foundational concepts
2. Implementation approaches
3. Testing and validation

## Implementation Patterns
1. Define clear requirements and specifications
2. Choose appropriate tools and frameworks
3. Implement with modular, maintainable code
4. Write tests and automate verification
5. Document architecture and decisions
6. Monitor performance and iterate

## Common Pitfalls
1. **Not accounting for constraints** — resource or timeline limitations
2. **Ignoring industry standards** — not following established best practices
3. **Poor stakeholder alignment** — conflicting requirements
4. **Inadequate testing** — no validation of critical functions
5. **Not documenting decisions** — lost knowledge transfer

## Verification Checklist
- [ ] Requirements documented
- [ ] Standards reviewed
- [ ] Design validated
- [ ] Testing established
- [ ] Documentation complete