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msoedov/agentic_security

⭐ 2017 Python repository created 2024-04-11

Agentic Security is a comprehensive open-source tool for identifying and mitigating vulnerabilities in Large Language Models (LLMs) and AI agent workflows. It functions as an AI red teaming kit, enabling developers and security professionals to proactively assess the security posture of their AI systems. The tool supports various attack vectors, including multimodal attacks, which probe vulnerabilities across text, images, and audio inputs. It also specializes in multi-step jailbreaks, simulating sophisticated and iterative attack sequences to uncover weaknesses in LLM safety mechanisms. Additionally, Agentic Security offers robust fuzzing capabilities to stress-test LLMs with randomized inputs, identifying edge cases and unexpected behaviors. It provides API integration and stress testing features, allowing seamless connection to LLM APIs and pushing their limits with high-volume, real-world attack scenarios. Further, it incorporates RL-Based Attacks, leveraging reinforcement learning to craft adaptive, intelligent probes that evolve with the model’s defenses. The project allows users to integrate their own datasets for custom testing and provides a CI check functionality to embed security testing into continuous integration pipelines, ensuring safer and more reliable AI deployments. It comes with a user interface and command-line interface for easy interaction and configuration.

https://github.com/msoedov/agentic_security

LLM securityAI red teamingvulnerability scannerjailbreak detectionLLM fuzzingmultimodal AI securityagent securityprompt testingAI safetyguardrailsLLM evaluationAI governance

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