🛡 TL;DR: an open-source red teaming framework that calls itself "penetration testing, but for LLMs." Title: confident-ai/deepteam URL: 📌 Highlights 🎯 50+ vulnerabilities across 6 categories: data privacy, bias, authorization bypass, agent-specific risks and more ⚔️ 20+ attack methods, from prompt injection to multi-turn crescendo jailbreaks 📋 Aligned with OWASP Top 10 for LLMs/Agents, NIST AI RMF, MITRE ATLAS and other industry standards 🔒 Evaluation runs entirely locally, no data sent externally 🚦 Ships 7 real-time guardrails like ToxicityGuard for production use ⭐ 2.8k GitHub stars, 1,187+ commits and active ongoing development Just `pip install` it and pass your model callback, that low barrier to entry makes it easy to actually adopt. #LLMSecurity# #RedTeaming#

JSEF v1.10.0 is out 🎉 A model-agnostic LLM eval toolchain + 20+ new hard vulnerability samples. ✅ Swap any OpenAI/Anthropic-compatible model (GLM-5.3, Mythos, GPT…) ✅ One-click cross-model leaderboard (Recall/Precision/F1/accuracy) ✅ DeepSwe-style trials stability (Pass@1, N-run) ✅ Multi-state gate, JWT 4-step chain, async taint chain Star → #LLMSecurity# #AppSec# #WebSecurity# #JavaSecurity# #VulnerabilityDetection# #AISecurity#