How My 8-Layer Autonomous Agentic Security Architecture Found Validated Vulnerabilities in NASA Flight Software and Google Cloud Ecosystems
Author : HM Shihabuddin Jashory (Shihab) GitHub : @jashory | ORCID / Research DOI : 10.5281/zenodo.23832719 Canonical Gist : 8-Layer-Agentic-Architecture-NASA-Google-Case-Study.md TL;DR Most automated security scanners drown maintainers in theoretical alerts and false positives. Over the past year, I designed and deployed an 8-Layer Autonomous Agentic Security Architecture ( DOI:…
The article narrates the successful deployment of an advanced security architecture to identify vulnerabilities in NASA's F' spacecraft flight software and Google Cloud ecosystems. This architecture, called the 8-Layer Autonomous Agentic Security Architecture, is designed to efficiently and accurately detect potential security risks in complex codebases.
The key features of this architecture include a 4-Tier Multi-Agent Verification Hierarchy, a specialized Sibling Patch-Gap Engine, and a zero-unverified claims policy. These components work together to provide a rigorous, systematic audit process that avoids theoretical alerts and false positives typically associated with automated security scanners.
By systematically auditing mission-critical open-source infrastructure, the architecture successfully remediated issues in NASA's F' spacecraft flight software framework and two Priority P2 triaged disclosures in Google's Vulnerability Reward Program. Additionally, it uncovered 25 coordinated private security disclosures across various projects and organizations, demonstrating its effectiveness in identifying hidden security vulnerabilities.
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