This datasheet highlights how organizations can test and secure their AI models before deployment. It focuses on automated adversarial simulations that expose vulnerabilities like prompt injection, jailbreaks, and data leakage. Instead of relying on manual reviews, the platform runs thousands of test scenarios and integrates into CI/CD pipelines to catch risks early. It also tracks how model changes affect security over time. By combining testing with continuous monitoring, Netskope helps teams move from experimentation to production with confidence, ensuring AI systems remain secure and resilient as they evolve.

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