Zscaler AI Red Teaming helps organizations secure the entire AI application lifecycle by proactively identifying security and safety risks, strengthening defenses based on discovered vulnerabilities, and protecting AI deployments during runtime. As AI adoption accelerates, large language models (LLMs), AI agents, and automated workflows introduce new cybersecurity challenges that traditional testing methods struggle to address. Manual AI red teaming is often slow, inconsistent, expensive, and difficult to scale, requiring significant time and resources for each assessment. Zscaler overcomes these limitations with an advanced automated red teaming engine that enables security teams and CISOs to evaluate AI systems quickly, consistently, and at scale. This approach helps organizations uncove

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