aegisops-ai

1# /aegisops-ai — Autonomous Governance Orchestrator
2 
3AegisOps-AI is described by its upstream as a governance pipeline
4that integrates advanced AI reasoning directly into
5the SDLC. It acts as an intelligent gatekeeper for
6systems-level security, cloud infrastructure costs,
7and Kubernetes compliance.
8 
9## Goal
10 
11To automate high-stakes security and financial audits by:
121. Identifying logic-based vulnerabilities (UAF, Stale
13State) in Linux Kernel patches.
142. Detecting massive "Silent Disaster" cost drifts in
15Terraform plans.
163. Translating natural language security intent into
17hardened K8s manifests.
18 
19## When to Use
20- **Kernel Patch Review:** Auditing raw C-based Git diffs for memory safety.
21- **Pre-Apply IaC Audit:** Analyzing `terraform plan` outputs to prevent bill spikes.
22- **Cluster Hardening:** Generating "Least Privilege" securityContexts for deployments.
23- **CI/CD Quality Gating:** Blocking non-compliant merges via GitHub Actions.
24 
25## When Not to Use
26 
27- **Web App Logic:** Do not use for standard web vulnerabilities (XSS, SQLi); use dedicated SAST scanners.
28- **Non-C Memory Analysis:** The patch analyzer is optimized for C-logic; avoid using it for high-level languages like Python or JS.
29- **Direct Resource Mutation:** This is an *auditor*, not a deployment tool. It does not execute `terraform apply` or `kubectl apply`.
30- **Post-Mortem Analysis:** For analyzing *why* a previous AI session failed, use `/analyze-project` instead.
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33## 🤖 Generative AI Integration
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