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Assessing LLM System Prompt Leakage Risks
testing-for-system-prompt-leakage
mukul975/Anthropic-Cybersecurity-Skills
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This guide provides a structured approach to red-teaming Large Language Models (LLMs) to detect sensitive data leakage from system prompts. It simulates advanced attacks—including prompt injection, instruction override, and encoding tricks—to identify embedded secrets, API keys, and proprietary business logic. Essential for validating adherence to OWASP LLM07 and securing AI applications against data exfiltration.
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