37a867c485
- 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
8 lines
5.3 KiB
JSON
8 lines
5.3 KiB
JSON
{
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"timestamp": "2025-12-08T23:35:42.123456Z",
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"oracle_answer": "{\"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\", \"citations\": [{\"document_id\": \"WEB-INFRA-SECURITY-PATTERNS\", \"filename\": \"WEB-INFRA-SECURITY-PATTERNS.md\", \"framework\": \"ai-act\", \"relevance_score\": 0.85, \"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\"}, {\"document_id\": \"zero_trust_architecture\", \"filename\": \"zero_trust_architecture.md\", \"framework\": \"ai-act\", \"relevance_score\": 0.88, \"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\"}, {\"document_id\": \"cloudflare_dns_manifest\", \"filename\": \"cloudflare_dns_manifest.md\", \"framework\": \"ai-act\", \"relevance_score\": 0.72, \"snippet\": \"# Cloudflare DNS Manifest (Baseline)\\n\\n## Purpose\\n\\nThis document defines DNS infrastructure requirements, recording all authoritative records and their compliance mappings.\"}], \"compliance_flags\": {\"ai-act\": \"partially_covered\", \"gdpr\": \"covered\"}, \"confidence_level\": \"medium\", \"frameworks\": [\"ai-act\", \"gdpr\"], \"gaps\": [{\"framework\": \"ai-act\", \"gap_description\": \"Missing formal AI Act Annex IV mapping document that explicitly references all four sections of required documentation\", \"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\", \"requirement\": \"Technical Documentation (Annex IV, Section 1)\", \"current_state\": \"Partially documented via infrastructure specs\"}, {\"framework\": \"ai-act\", \"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\", \"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.)\", \"requirement\": \"Model Documentation\", \"current_state\": \"No formal model cards\"}, {\"framework\": \"ai-act\", \"gap_description\": \"Require documented governance procedures for high-risk AI decision review\", \"remediation\": \"Establish quarterly AI system review meetings with documented outcomes, include in incident response playbooks\", \"requirement\": \"Governance and Review\", \"current_state\": \"Implicit in Zero-Trust model\"}, {\"framework\": \"gdpr\", \"gap_description\": \"GDPR Article 35 requires DPIA for high-risk processing; missing explicit documentation\", \"remediation\": \"Create GDPR_DPIA_AI_SYSTEMS.md covering data flows, retention, and fairness checks\", \"requirement\": \"Data Processing Impact Assessment\", \"current_state\": \"Not explicitly referenced in current docs\"}], \"insufficient_context\": false, \"question\": \"What documentation is required for our AI system under EU AI Act Annex IV?\"}",
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"answer_hash": "7f8a2e3b4c9d5e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1b2c3d4e",
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"hash_algorithm": "sha256",
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"version": "v0.4.0"
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}
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