external/anthropic-cybersecurity-skills/skills/implementing-zero-trust-with-beyondcorp/SKILL.md
Configures Google BeyondCorp Enterprise Identity-Aware Proxy (IAP) as the access enforcement point for web applications, defining Access Context Manager access levels from device trust and network attributes, and auditing the resulting policies for compliance. Use when eliminating perimeter/VPN trust for GCP resources or internal apps, or when setting up identity- and device-posture-based access controls on Google Cloud.
npx skillsauth add seikaikyo/dash-skills implementing-zero-trust-with-beyondcorpInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Google BeyondCorp Enterprise implements the zero trust security model by eliminating the concept of a trusted network perimeter. Instead of relying on VPNs and network location, BeyondCorp authenticates and authorizes every request based on user identity, device posture, and contextual attributes. Identity-Aware Proxy (IAP) serves as the enforcement point, intercepting all requests to protected resources and evaluating them against Access Context Manager policies. This skill covers configuring IAP for web applications, defining access levels based on device trust and network attributes, and auditing access policies for compliance.
Configure Identity-Aware Proxy on Compute Engine, App Engine, or HTTPS load balancer backends.
Create Access Context Manager access levels based on IP ranges, device attributes (OS version, encryption, screen lock), and geographic location.
Apply access levels as IAP conditions to enforce context-aware access decisions on protected resources.
Query IAP audit logs, verify policy enforcement, and identify gaps in zero trust coverage.
JSON report containing IAP-protected resources, access level definitions, policy binding audit results, and zero trust coverage metrics.
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.