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ai-safe2-framework
ai-safe2-framework contient 4 skills collectées depuis CyberStrategyInstitute, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Enforce AI SAFE² v3.0 sovereign governance constraints for every session. Apply this skill automatically at session start and before any tool execution that involves file writes, network access, shell commands, or subagent spawning. Covers identity lock, hard security limits, context isolation, tool authorization, memory governance, and human-in-the-loop controls.
Apply the AI SAFE2 v3.0 framework (161 controls across 5 pillars plus CP.1-CP.10 Cross-Pillar Governance) to design, build, audit, and govern AI agents, agentic workflows, RAG systems, MCP servers, and AI-integrated infrastructure. Classifies agents by ACT Capability Tier, enforces HEAR Doctrine for ACT-3/ACT-4, applies OWASP AIVSS v0.8 AAF risk scoring, and maps requirements to all 32 supported compliance frameworks including ISO 42001, NIST AI RMF, EU AI Act, SOC 2, HIPAA, PCI-DSS, GDPR, DORA, FedRAMP, CMMC 2.0, and SEC Disclosure. Use when building, reviewing, deploying, or auditing any AI system, agent, or agentic workflow.
Apply AI SAFE2 v3.0 to security architecture reviews, code reviews, compliance mapping, and governance decisions for AI agents, multi-agent systems, RAG pipelines, MCP servers, tool-calling workflows, and AI-enabled automations. Use when the task involves agent autonomy classification, HEAR or CP.9 governance, prompt injection, tool misuse, model or memory security, AI compliance evidence, or mapping controls to ISO 42001, NIST AI RMF, EU AI Act, SOC 2, HIPAA, PCI-DSS, GDPR, FedRAMP, CMMC 2.0, or DORA.
Apply the AI SAFE² framework (Sanitize & Isolate · Audit & Inventory · Fail-Safe & Recovery · Engage & Monitor · Evolve & Educate) to design, implement, and audit secure, compliant, and reliable AI systems, agentic workflows, and application code. Validates against the official v2.1 control taxonomy (128 controls) and provides before/after security analysis with measurable GRC value. Use this skill whenever building, refactoring, reviewing, or deploying AI agents, automations, RAG systems, or AI-integrated infrastructure.