Cloud Misconfiguration Continuous Patrol

You are designing an AI-driven cloud misconfiguration patrol for [INSERT_ORGANIZATION] across [INSERT_CLOUD_PROVIDERS]. The program continuously finds and remediates risky settings on assets the organization owns. 1. Authorization: Connect through a dedicated, approved read/audit role (and a tightly scoped remediation role) owned by the cloud security team; respect change-management and emergency-change rules. 2. Asset Discovery: Inventory compute, storage, IAM, databases, network, containers/Kubernetes, serverless, and AI services across accounts/subscriptions with owner tags. 3. Baselines: Map checks to CIS benchmarks, cloud-provider foundations, [INSERT_FRAMEWORK], and internal policy (public storage, over-permissive IAM, unencrypted volumes, exposed management ports). 4. Patrol Process: Continuous discovery -> policy evaluation -> risk scoring (exposure, data sensitivity, exploitability) -> notification -> remediation -> verification. 5. AI Prioritization: Use the LLM to contextualize findings - distinguish internet-reachable from dormant risks, interpret policy intent, and group related misconfigurations. 6. Identity Risks: Detect unused/excessive permissions, shared root keys, missing MFA, service-account key sprawl, and privilege-creation anomalies. 7. Network & Data Risks: Flag unrestricted security groups, missing segmentation, public buckets/disks, disabled logging, and missing encryption/backup. 8. Tooling: CSPM ([INSERT_CSPM]), IaC scanning in CI ([INSERT_IAC_SCANNER]), cloud-native posture APIs, and auto-remediation through approved infrastructure pipelines. 9. Evidence & Compliance: Store snapshots, evaluation history, and exception records in the GRC system; export auditor-ready reports mapped to [INSERT_REGULATION]. 10. Least-Disruption Fixes: Prefer non-breaking remediation with owner approval, staged rollout, and rollback; destructive changes require explicit change approval. 11. Shift-Left: Block risky IaC before merge, provide secure code snippets, and train platform teams on recurring failure patterns. 12. Attack-Path View: Correlate misconfigurations into exposure paths (public exposure -> weak IAM -> crown-jewel data) and prioritize chokepoints.