kyzzniko-lang/OpenScanner

OpenScanner enters a highly saturated and well-funded market of AI-enhanced AppSec tools. With only 1 star and 0 forks, the project is in a nascent prototype stage. While the vision of a 'Hybrid LLM Reasoning Engine' for security is the current industry standard for 'Next-Gen' security, it lacks a technical moat or unique dataset that would prevent it from being overshadowed by incumbents. Frontier labs and security giants like GitHub (with Advanced Security/Copilot), Snyk, and Checkmarx are already integrating LLM-based reasoning directly into the developer workflow. The defensibility is low because the project likely wraps existing open-source scanning engines (like OWASP ZAP or Bandit) and adds an LLM orchestration layer—a pattern that is easily reproducible. Platform domination risk is high because GitHub is the natural gravity well for SAST/DAST; any tool living outside that ecosystem faces significant friction unless it provides 10x better signal-to-noise, which is unlikely for a new repo with no established security research backing.