AI Penetration Testing: Securing the Future of Intelligent Systems

Описание: AI Penetration Testing involves simulating hacker-style attacks to identify vulnerabilities within AI-driven systems, including machine learning models, large language models (LLMs), applications, and chatbots. Security teams perform these real-world attack simulations to uncover weaknesses that could result in unauthorized access, data breaches, or operational disruptions. This testing is crucial, as traditional security tools often fail to detect AI-specific threats such as prompt injection (malicious input manipulation) or data poisoning (tampered training data). With AI increasingly managing sensitive data and critical business processes, even minor flaws can lead to significant risks. Regular AI Pentesting enables organizations to safeguard information, maintain trustworthy AI performance, and align with emerging frameworks like ISO/IEC 42001, which promote secure and responsible AI system management.

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