external/anthropic-cybersecurity-skills/skills/implementing-pci-dss-compliance-controls/SKILL.md
Implements PCI DSS 4.0.1's 12 requirements across 6 control objectives for organizations that store, process, or transmit cardholder data, including the customized validation approach, enhanced authentication, and continuous monitoring controls introduced by the 51 requirements mandatory since March 2025. Use when scoping a cardholder data environment, building PCI DSS 4.0.1 compliance controls, or preparing for a PCI assessment.
npx skillsauth add seikaikyo/dash-skills implementing-pci-dss-compliance-controlsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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PCI DSS 4.0.1 establishes 12 requirements across 6 control objectives for organizations that store, process, or transmit cardholder data. With PCI DSS 3.2.1 retiring April 2024 and 51 new requirements becoming mandatory March 31, 2025, this skill covers implementing all requirements including the new customized validation approach, enhanced authentication, and continuous monitoring controls.
Build and Maintain a Secure Network and Systems
Protect Account Data 3. Protect stored account data (encryption, tokenization, truncation) 4. Protect cardholder data with strong cryptography during transmission
Maintain a Vulnerability Management Program 5. Protect all systems and networks from malicious software 6. Develop and maintain secure systems and software
Implement Strong Access Control Measures 7. Restrict access to system components and cardholder data by business need to know 8. Identify users and authenticate access to system components 9. Restrict physical access to cardholder data
Regularly Monitor and Test Networks 10. Log and monitor all access to system components and cardholder data 11. Test security of systems and networks regularly
Maintain an Information Security Policy 12. Support information security with organizational policies and programs
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.