- Complete Cloudflare Terraform configuration (DNS, WAF, tunnels, access) - WAF Intelligence MCP server with threat analysis and ML classification - GitOps automation with PR workflows and drift detection - Observatory monitoring stack with Prometheus/Grafana - IDE operator rules for governed development - Security playbooks and compliance frameworks - Autonomous remediation and state reconciliation
68 lines
5.2 KiB
JSON
68 lines
5.2 KiB
JSON
{
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"question": "What documentation is required for our AI system under EU AI Act Annex IV?",
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"answer": "Based on the available documentation, the EU AI Act Annex IV requires comprehensive technical and governance documentation for high-risk AI systems. Key requirements include:\n\n1. From WEB-INFRA-SECURITY-PATTERNS.md (ai-act):\nTechnical documentation must cover system architecture, training data sources, performance metrics, and risk mitigation strategies. This aligns with our Zero-Trust security model where all infrastructure components are verified before trust is granted.\n\n2. From zero_trust_architecture.md (ai-act):\nOur Zero-Trust Architecture implements the required access control and monitoring mechanisms. All system decisions must be logged and auditable, following the principle that no system component is inherently trusted.\n\n3. Governance Requirements:\n- Data governance and lineage documentation\n- Model performance and validation results\n- Regular compliance assessments\n- Incident and anomaly reporting procedures\n- Human oversight mechanisms for high-risk decisions\n\nCurrent Status:\n✓ Technical documentation exists for infrastructure layer\n✓ Zero-Trust access controls provide audit trail\n✗ Missing: Formal AI Act Annex IV compliance mapping document\n✗ Missing: Model card documentation for AI systems\n✗ Missing: Documented governance review procedures\n\nRecommendations:\n1. Create AI_ACT_ANNEX_IV_MAPPING.md linking requirements to existing docs\n2. Implement model card template for all AI/ML systems\n3. Establish quarterly governance review meetings\n4. Document decision audit trail for high-risk system choices",
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"frameworks": [
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"ai-act",
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"gdpr"
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],
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"citations": [
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{
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"document_id": "WEB-INFRA-SECURITY-PATTERNS",
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"filename": "WEB-INFRA-SECURITY-PATTERNS.md",
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"framework": "ai-act",
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"snippet": "# Web-Infrastructure Security Patterns (Cloudflare Operations)\n\n## 1. Identity & Access Hardening\n\nAll infrastructure access is governed by:\n- Zero-Trust principle: verify every access request\n- Multi-factor authentication for human operators\n- Service-to-service mTLS for system components\n- Continuous monitoring and audit logging",
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"relevance_score": 0.85
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},
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{
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"document_id": "zero_trust_architecture",
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"filename": "zero_trust_architecture.md",
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"framework": "ai-act",
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"snippet": "# Zero-Trust Architecture (Cloudflare → VaultMesh)\n\nBelow is the high-level Zero-Trust flow integrating Cloudflare Edge, Tunnels, Access, DNS, and VaultMesh origins.\n\n## Core Principles\n\n1. **Never Trust, Always Verify**: Every access attempt requires authentication\n2. **Least Privilege**: Grant minimum necessary permissions\n3. **Continuous Monitoring**: Log all system interactions\n4. **Assume Breach**: Design for detection and response",
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"relevance_score": 0.88
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},
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{
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"document_id": "cloudflare_dns_manifest",
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"filename": "cloudflare_dns_manifest.md",
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"framework": "ai-act",
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"snippet": "# Cloudflare DNS Manifest (Baseline)\n\n## Purpose\n\nThis document defines DNS infrastructure requirements, recording all authoritative records and their compliance mappings.",
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"relevance_score": 0.72
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}
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],
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"gaps": [
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{
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"framework": "ai-act",
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"requirement": "Technical Documentation (Annex IV, Section 1)",
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"current_state": "Partially documented via infrastructure specs",
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"gap_description": "Missing formal AI Act Annex IV mapping document that explicitly references all four sections of required documentation",
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"remediation": "Create AI_ACT_ANNEX_IV_MAPPING.md that explicitly maps our systems to (1) General description, (2) Information about the database, (3) Documentation on methods, and (4) Relevant information about the quality and safety of the system"
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},
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{
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"framework": "ai-act",
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"requirement": "Model Documentation",
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"current_state": "No formal model cards",
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"gap_description": "EU AI Act requires formal model card documentation for all AI/ML systems. We have infrastructure documentation but not AI system-specific documentation",
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"remediation": "Implement model card template in templates/ directory covering training data, performance metrics, limitations, and known risks. Apply to all Cloudflare AI services used (bot detection, etc.)"
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},
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{
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"framework": "ai-act",
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"requirement": "Governance and Review",
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"current_state": "Implicit in Zero-Trust model",
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"gap_description": "Require documented governance procedures for high-risk AI decision review",
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"remediation": "Establish quarterly AI system review meetings with documented outcomes, include in incident response playbooks"
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},
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{
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"framework": "gdpr",
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"requirement": "Data Processing Impact Assessment",
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"current_state": "Not explicitly referenced in current docs",
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"gap_description": "GDPR Article 35 requires DPIA for high-risk processing; missing explicit documentation",
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"remediation": "Create GDPR_DPIA_AI_SYSTEMS.md covering data flows, retention, and fairness checks"
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}
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],
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"insufficient_context": false,
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"confidence_level": "medium",
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"compliance_flags": {
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"ai-act": "partially_covered",
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"gdpr": "covered"
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}
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}
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