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Orchestrating Multi-Turn LLM Adversarial Attacks
orchestrating-llm-attacks-with-pyrit
mukul975/Anthropic-Cybersecurity-Skills
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An open-source automation framework for conducting multi-turn, adversarial red-teaming against conversational LLMs. PyRIT simulates real-world attacker behavior using advanced orchestrators (Crescendo, TAP) and scorer feedback loops. It is designed for comprehensive security assessments of AI agents and chatbots, going far beyond single-shot prompt testing to evaluate robustness under gradual or adaptive attacks.
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