Threat Mitigation Mapping
Connect threats to controls for effective security planning.
Use this skill when
- Prioritizing security investments
- Creating remediation roadmaps
- Validating control coverage
- Designing defense-in-depth
- Security architecture review
- Risk treatment planning
Do not use this skill when
- The task is unrelated to threat mitigation mapping
- You need a different domain or tool outside this scope
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open
resources/implementation-playbook.md.
Resources
resources/implementation-playbook.mdfor detailed patterns and examples.
AGI Framework Integration
Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills
Memory-First Protocol
Cache compliance check results to avoid re-running expensive AWS API calls. Retrieve prior audit findings to track remediation progress across sessions.
# Check for prior security context before starting
python3 execution/memory_manager.py auto --query "prior security audit results for Threat Mitigation Mapping"
Storing Results
After completing work, store security decisions for future sessions:
python3 execution/memory_manager.py store \
--content "Audit findings: 3 critical IAM misconfigurations found and remediated" \
--type technical --project <project> \
--tags threat-mitigation-mapping security
Multi-Agent Collaboration
Share security findings with other agents so they avoid introducing vulnerabilities in their code changes.
python3 execution/cross_agent_context.py store \
--agent "<your-agent>" \
--action "Completed security audit — 3 critical findings fixed, compliance score 94%" \
--project <project>
Signed Audit Trail
All security findings are cryptographically signed with the agent's Ed25519 identity, providing tamper-proof audit logs for compliance reporting.
Semantic Cache for Compliance
Cache compliance check results (semantic_cache.py) to avoid redundant AWS API calls. Cache hit at similarity >0.92 returns prior results instantly.
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