AI workloads operate in dynamic and unpredictable environments where traditional security tools fall short, especially as risks increase in production with limited visibility and control. Many teams lack awareness of where large language models run or how they behave in real time. With most AI applications deployed in containers on Kubernetes, Aqua Secure AI provides full lifecycle protection from code to cloud to prompt. It delivers visibility into LLM activity, defends against threats like prompt injection and unsafe outputs, and secures AI workloads without requiring code changes, SDKs, or proxies, giving organizations stronger end‑to‑end AI security.

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