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OWASP Gen AI Security Project provides resources, risk strategies, and global collaboration to secure LLMs, AI agents, and generative AI technologies.

OWASP Machine Learning Security Top 10 (2023) identifies the top 10 security risks for machine learning systems, focusing on developers and security experts.

OWASP Top 10 for Large Language Model Applications educates on security risks in deploying and managing LLMs and Generative AI applications.

Automated mobile app security platform providing SAST, DAST, and AI-driven triage for Android and iOS vulnerabilities with actionable exploit proofs.

Autonomous AI agent system for complex penetration testing, integrating security tools, long-term memory, and smart task delegation in sandboxed Docker.

Pillar Security: AI security platform to identify, assess, and mitigate security risks across the entire AI lifecycle.

Prompt Airlines AI CTF by Wiz challenges users to manipulate an AI chatbot for a free ticket, focusing on AI security vulnerabilities.

Payloads and techniques for exploiting prompt injection vulnerabilities in AI/NLP models like ChatGPT, including direct and indirect methods.

PromptBench: A unified library for evaluating and understanding large language models, enabling quick model assessment and robustness testing.

Open-source LLM security testing framework for automated red teaming, prompt injection detection, and vulnerability scanning in AI agents and RAGs.

PyRIT is an open-source Python framework empowering security pros to proactively identify risks in generative AI systems.

Autonomous security research framework that turns Claude Code into an agent for adversarial code analysis, fuzzing, and exploit generation.