CAMLIS / PMLR · November 14, 2025

RIG-RAG: A Graph-Inspired Approach to Agentic Cloud Infrastructure

RIG-RAG: A Graph-Inspired Approach to Agentic Cloud Infrastructure video thumbnail
Why it matters

RIG-RAG converts changing cloud configuration data into a typed, security-enriched graph for natural-language investigation and scheduled oversight. The authors report a production AWS deployment supporting 300,000 users, with interactive queries for analysts and curated recurring questions that detect infrastructure drift and expose relationships such as public reachability and identity access.

My takeaway: Keep collected configuration facts, inferred relationships, and model explanations separately attributable and reproducible. Run a versioned library of security questions on every graph refresh, require evidence paths for each answer, compare results against deterministic cloud-policy checks, constrain the assistant to read-only access, and route consequential changes through reviewed automation.
Keep exploring

More curated notes connected through Agent Security and AI Engineering.

OWASP GenAI Security Project · guide

OWASP Top 10 for Agentic Applications for 2026

OWASP's community guide organizes agentic-system risk into ten categories, including goal hijacking, tool misuse, identity and privilege abuse, memory poisoning, insecure inter-agent communication, cascading failures, and rogue-agent behavior. It provides a shared taxonomy and mitigation starting point rather than a certification checklist or evidence that a deployed system is secure.

OWASP GenAI Security Project · tool

FinBot CTF Is Live: A Hands-On Companion to the OWASP GenAI Security Project

OWASP FinBot is a hands-on agentic-security CTF built around a simulated multi-agent financial-services platform with real tool access. Its challenges cover prompt injection, tool misuse, policy bypass, data exfiltration, privilege escalation, remote code execution, shared context, and compromised MCP servers.

Google Cloud Security Blog · tool

Now in preview: Find and fix software vulnerabilities with CodeMender

Google opened a preview of CodeMender, an AI code-security agent delivered through Gemini Enterprise Agent Platform and AI Threat Defense. It is designed to inspect code, identify and validate potentially exploitable defects, and produce targeted fixes, with Google’s specialized Gemini 3.5 Flash Cyber model initially restricted to governments and trusted partners.