Adversarial agents are AI programs designed to test system vulnerabilities by simulating attacks or deceptive behaviors. They are used in cybersecurity to strengthen defenses, in machine learning to improve model robustness, and in gaming to create challenging opponents. Developers, security teams, and researchers benefit from exposing weaknesses, enhancing system reliability, and building more resilient AI applications.
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