About
Omniguard is a fully built, production-ready Python asynchronous security middleware engine designed specifically for enterprise AI Agent runtimes. It acts as a zero-trust guardrail layer, intercepting and validating data flows to prevent prompt injection, data exfiltration, and unauthorized runtime execution before they hit your core LLM infrastructure.I built this infrastructure stack completely from scratch, but due to time constraints, I am selling 100% of the codebase, intellectual property, and ownership rights.What is included in the sale:Complete Source Code: Full ownership transfer of the private GitHub repository.Architectural Flow: Advanced asynchronous Python handling designed for low-latency middleware processing.Documentation: Clean, comprehensive README outlining setup, configuration, and integration.How the transaction works: This sale is for the raw codebase and full IP rights only—no active revenue or front-end hosting is included. Upon agreed purchase, ownership of the GitHub repository will be transferred directly and permanently to your GitHub username.Open to reasonable offers. DM for code snippets or repository verification screenshots.
Comments (5)
does it intercept before or after the LLM call?
does this catch prompt injection or just watch the agent self-destruct?
does it handle prompt injection or just api auth?
glad you shipped. per-agent pricing or enterprise flat rate?
async middleware intercept pattern is spot on for agent runtime security
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