Project Number 1 in AI Security

Reddit r/ArtificialInteligence Tools

Summary

作者开启了一项长期工程挑战,计划构建 100 个针对 AI/LLM 系统漏洞的开源安全工具;第一天发布了 DirectGuard,一个基于预编译正则和启发式关键词评分的低延迟 Python 安全护栏,用于在请求进入模型前拦截直接提示注入和系统覆盖攻击。

​Hi ​I’m embarking on a long-term engineering challenge to build 100 open-source security tools and projects 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
Original Article

Similar Articles

@mylifcc: The ultimate AI security red teaming tool is here! I just discovered an incredibly hardcore open-source project — DeepTeam! Produced by Confident AI, it is an LLM Red Teaming framework built on DeepEval, specifically designed to 'hack' your own large models: 50+ real-world vulnerabilities…

X AI KOLs Timeline

Confident AI has released DeepTeam, an open-source LLM red teaming framework that supports 50+ vulnerability detections and 20+ adversarial attacks, aimed at helping developers safely test large language models.

Block on Finding and Fixing Security Risks with OpenAI

YouTube AI Channels

Block shared how it uses OpenAI’s AI capabilities to discover and fix software security risks—the tool goes beyond statically scanning code to reason about attack patterns, cross trust boundaries, and chain together multistep attacks, revealing complete, end-to-end compromise paths while helping pinpoint issues, identify owners, suggest patches, and verify that fixes are effective.

@XAMTO_AI: A two-person security team used AI to find real vulnerabilities in code and earned $250,000 from a single bounty. Now they've open-sourced the system as Open-Kritt. It's not a toy that throws a repo at an AI to search blindly; it's an orchestration platform that turns AI agents into a small security team. Most people just hand an AI a…

X AI KOLs Timeline

Open-Kritt is an open-source security research platform that orchestrates multiple AI agents to analyze code in parallel, automating discovery of real vulnerabilities, and supports deduplication, validation, and prioritization. The team behind it has used it to earn significant bounties and win the Firedancer audit contest.