🛡️ BLA (Blind LLM Agents) — Adversarial defense shield that protects binaries, Electron apps, JS bundles, Python, and WebAssembly against AI reverse-engineering agents like REA. Poison -> Exhaust -> Hallucinate.
Adversarial AI bug hunter with auto-fix skill for Claude Code, Cursor, Codex CLI, GitHub Copilot CLI, Kiro CLI, Opencode, Pi Coding Agent, and more. Multi-agent pipeline finds security vulnerabilities, logic errors, and runtime bugs — then fixes them autonomously on a safe branch.
OpenSpec and OpenCode template for intent-driven development with specs, ADRs, C4 diagrams, Gherkin, TDD, Multi-Model Adversarial Spec Authoring, Glossary for Domain Terms, and reusable engineering workflows. This also makes OpenSpec spec-as-source capable.
Basilisk — Open-source AI red teaming framework with genetic prompt evolution. Automated LLM security testing for GPT-4, Claude, Grok, Gemini. OWASP LLM Top 10 coverage. 32 attack modules.
AATMF | An Open Source - Adversarial AI Threat Modeling Framework
Open-source prompt injection attack console. Test AI security by firing categorized attacks at any endpoint.
Test and evaluate Large Language Models against prompt injections, jailbreaks, and adversarial attacks with a web-based interactive lab.
Semantic Stealth Attacks & Symbolic Prompt Red Teaming on GPT and other LLMs.
JailBreak-Ai is an advanced AI red-teaming app for Android. It generates high-fidelity payload prompts to test AI safety filters, model robustness, and logical boundary security for Jailbreaking capabillities.
1st Prize (General Judge), Self Improving Agents Hack at Datadog. Two identical LLM agents play Split or Steal; neither is told to betray the other, and deception develops over the game. Built with @evancorrea.
Adversarial verification layer for AI coding assistants. Based on IACDM — Interactive Adversarial Convergence Development Methodology. The AI proposes. Versus critiques.
The open standard for AI agent integrity. Evaluate, enforce, and prove that autonomous agents are adversarially coherent, environmentally portable, and verifiably assured.
LLM Attack Testing Toolkit is a structured methodology and mindset framework for testing Large Language Model (LLM) applications against logic abuse, prompt injection, jailbreaks, and workflow manipulation.
Pit AI models against each other. Score them sealed. Crown a winner. All built using the GitHub Copilot CLI. ⚡
Breaking Chain-of-Thought: A Comprehensive Taxonomy of Reasoning Vulnerabilities in Production AI Systems
BandAI is a CrewAI-powered multi-agent orchestration platform that automates the discovery, adversarial legal evaluation, and proposal generation for Italian public tenders (bandi)
🛡️ An AI-powered debate training and communication risk analysis platform. LogicShield strengthens your arguments, detects logical fallacies, and evaluates reputational risk before you publish, pitch, or perform.
2nd Place Winner @ Alpaca x Lablab.ai Hackathon. Autonomous multi-agent trading council with adversarial thesis falsification, deterministic risk gates (25% max allocation), live paper execution, and thesis invalidation monitoring on Alpaca Markets.
LLM Sentinel Red Teaming Platform is an enterprise-grade framework for automated security testing of Large Language Models, detecting vulnerabilities such as jailbreaks, prompt injection, and system prompt leakage across multiple providers, with structured attack orchestration, risk scoring, and security reporting to harden models before production
Adaptive red teaming for LLM applications using iterative AI-vs-AI attack orchestration.
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