Red Teaming involves systematically challenging AI systems through simulated attacks or stress tests to uncover weaknesses, biases, or vulnerabilities. It helps ensure robustness, security, and ethical integrity by proactively identifying issues before malicious actors can exploit them. This process aids in strengthening AI defenses, improving safety measures, and ensuring reliable and trustworthy deployment.