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AI is increasingly being used in healthcare, providing support in areas such as disease diagnosis, medical recommendations, patient interactions through chatbots, and predictive healthcare analytics. These advanced systems rely on Large Language Models (LLMs), which, while powerful, can be vulnerable to attacks, data leakage, and prompt injection threats. To ensure that AI-driven healthcare solutions remain secure and resistant to manipulation or breaches, LLM penetration testing (LLM pentesting) is essential.
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