external/anthropic-cybersecurity-skills/skills/evaluating-threat-intelligence-platforms/SKILL.md
Evaluates and selects Threat Intelligence Platform (TIP) products based on organizational requirements including feed integration capability, STIX/TAXII support, workflow automation, analyst interface, and total cost of ownership. Use when conducting a TIP procurement, migrating between TIP solutions, or assessing whether the current TIP meets program maturity requirements. Activates for requests involving ThreatConnect, MISP, OpenCTI, Anomali, EclecticIQ, or TIP procurement decisions.
npx skillsauth add seikaikyo/dash-skills evaluating-threat-intelligence-platformsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Use this skill when:
Do not use this skill for evaluating feed quality independently of the TIP — feed evaluation is a separate workflow focused on data quality rather than platform capabilities.
Structure requirements into mandatory (M) and desired (D) categories:
Core TIP Functions:
Integrations:
Operational:
MISP (Open Source):
OpenCTI (Open Source):
ThreatConnect (Commercial):
Anomali ThreatStream (Commercial):
EclecticIQ Platform (Commercial):
Request 30-day PoC from finalists. Test:
Use weighted scoring matrix (weight each criterion by organizational priority):
Criterion Weight Vendor A Vendor B
STIX 2.1 compliance 20% 95 85
SIEM integration 25% 90 70
ATT&CK mapping 15% 85 95
Cost (inverse) 20% 60 90
UI/analyst experience 10% 80 75
Vendor support quality 10% 85 80
TOTAL 100% 82.0 81.5
Plan 90-day implementation:
| Term | Definition | |------|-----------| | TIP | Threat Intelligence Platform — software for collecting, processing, analyzing, and disseminating cyber threat intelligence | | TAXII Server | Component of a TIP that serves STIX bundles to consuming systems on request | | TC Exchange | ThreatConnect's commercial marketplace for pre-built feed integrations and app connectors | | Multi-tenancy | TIP capability to serve multiple organizational units or customers with isolated data environments | | Deduplication | Process of identifying and merging duplicate indicators within a TIP to reduce analyst noise |
tools
Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of processing, lawful basis validation, data subject rights implementation, Data Protection Impact Assessments (DPIAs) under Article 35, breach notification procedures, international transfer safeguards (SCCs, adequacy decisions), and technical/organizational measures under Article 32. Use when processing personal data of EU residents, preparing for supervisory authority audits, implementing privacy-by-design for new systems, scoping compliance gaps for M&A due diligence, assessing third-party processors, or responding to data subject access requests at scale. Incorporates 2026 guidance from ICO, EDPB, and post-Data (Use and Access) Act 2025 UK-GDPR considerations. Do not use for implementing specific Article 32 controls — use implementing-gdpr-data-protection-controls; or for DSAR automation — use implementing-gdpr-data-subject-access-request.
tools
Parse Windows forensic artifacts—$MFT/$J (MFTECmd), Prefetch (PECmd), registry hives (RECmd), shellbags, and Amcache—into normalized CSV/JSON with Eric Zimmerman's EZ Tools, then load results into Timeline Explorer for analysis. Use during DFIR/incident-response investigations, after triage collection (e.g. with KAPE), to establish program execution, file/folder access, and persistence evidence from acquired forensic images.
development
Build automated multi-turn adversarial attacks against conversational LLM targets using Microsoft PyRIT's RedTeamingOrchestrator, CrescendoOrchestrator (gradual escalation), and TreeOfAttacksWithPruningOrchestrator (adaptive branching), with scorer feedback loops and persisted conversation memory. Use when single-shot LLM scanning is insufficient and you need multi-turn, scorer-driven AI red-team campaigns against a chatbot or agent.
testing
Stand up MISP, enable and cache curated threat feeds (CIRCL, abuse.ch, Feodo Tracker), apply warninglists to suppress false positives, query indicators with PyMISP, and export attributes as auto-generated Suricata/Sigma/Wazuh detection rules. Use when maturing a MISP instance to actively drive detection, curating threat feeds with quality controls, or automating IOC-to-detection pipelines for the SIEM/IDS.