Gain visibility into prompt and model behavior inside containers where AI applications are hosted and run. Aqua enforces policy in real time without requiring SDKs, proxies, or rewrites.
From Prompt to Production: Runtime Protection for AI WorkloadsSee and govern AI use across SaaS platforms, managed services and self-hosted models. Aqua adapts to how your teams build and run AI applications.
Mainframes Are the New AI Infrastructure. Protect it with Secure AIStop prompt-based AI threats and post-compromise activity where AI applications actually run. Aqua protects the entire container lifecycle, not just the edge or SDK.
Watch Aqua Secure AI in ActionUnderstand which models, platforms and versions are running, where they are used, how they behave and whether usage aligns with policy. Monitor in real time at the application layer across SaaS, managed and self-hosted AI workloads.
Protect applications from prompt injection, jailbreaks and risky model behavior with runtime protection. Detect AI threats, enforce policy in real time and block post-compromise activity without additional agents, code changes or SDKs.
Scan source code and pipelines to detect LLM usage and insecure prompt handling before workloads reach production. Apply assurance policies based on the OWASP Top 10 LLM Risks to strengthen your LLM security posture during development.
Assess the security posture of cloud-based AI services like OpenAI and Bedrock with AI-SPM. Ensure configurations align with your AI governance standards and organizational policy and reduce the risk of misconfigured services.
Bring together insights from development, infrastructure and runtime into a unified AI security dashboard. Surface AI-related risks and reduce AI risk exposure across your environment without adding complexity.
From code to cloud to prompt