# Rixon

- **Event:** [Meta Global AI Developer Hackathon](https://cerebralvalley.ai/e/meta-ai-developer-hackathon)
- **When:** Oct 26, 12:00 PM – Nov 4, 9:00 PM (EST)
- **Where:** Online
- **Team:** [Rixon Polvi](https://cerebralvalley.ai/u/Rixonp)
- **GitHub:** https://github.com/Rixonpolvi/fleet-sre
- **Demo video:** https://youtu.be/b9Wyi15MX2M
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3014

I built an agentic site reliability engineer for MSSPs that run many clients in a single Google SecOps SOAR instance.

One of the issues I've encountered in my career is the standardization of services during deployment. Every client engagement will differ but raising and maintaining an operational service floor over years, deployments and multiple engineers is not a simple task. 

The idea was to abstract the service itself and establish a deployment baseline. I wanted an agent to write the monitoring checks for a given service and then be summoned when its tripwire breaks. Investigations are performed with read-only access, and deterministic checks run against every agent step. I record all evidence and require a diagnosis to cite this evidence. The platform itself would then gate suggested fixes, and a human operator would review these. If a fix is outside of the scope of the platform, the agent will escalate but still provide suggested actions.

It is built on a mock SecOps that follows Google's published Chronicle API and SOAR logging docs, so it could be swapped for a real instance. Cloud logging and keyless IAM was implemented in my own GCP project, with tests proving the agent's read-only identity cannot write.

## More from Meta Global AI Developer Hackathon

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- [VibeForge](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3017)

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