Hi I’m embarking on a long-term engineering challenge to build 100 open-source security tools and projec ts addressing the top vulnerabilities in AI and LLM systems. For Day 1 I’m tackling Problem #1: Direct Prompt Injection & System Override Attacks . When deploying LLM applications, relying solely on model alignment or running a secondary heavyweight LLM classifier for guardrails introduces unacceptable latency and compute costs Attackers frequently bypass defenses using structural overrides and persona hijacking We need a deterministic, sub-millisecond pre-flight inspection layer that catches these patterns before they ever touch the primary model context. and for this I built DirectGuard, a lightweight Python based security guardrail designed for low latency overhead and It uses pre-compiled regular expressions and heuristic keyword scoring to intercept malicious override vectors instantly. The project:[ https://github.com/venomx943-pixel/AI-Security-Projects.git/ ] If there any advice to develop myself in AI Security you’re welcome submitted by /u/Venom943
Originally posted by u/Venom943 on r/ArtificialInteligence