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With AI models encountering sophisticated attacks that bypass conventional security measures, red teaming is gaining prominence as a vital method for proactively identifying and addressing vulnerabilities. This adversarial simulation technique enables developers to build more resilient and secure AI systems by uncovering hidden weaknesses and improving defenses before they are exploited in real-world scenarios.