Products · Secure AI

Secure AI Applications Without Code Changes

Secure AI finds the AI models running in your applications and protects them at two layers, blocking prompt injection and jailbreaks and denying supported actions such as credential theft or data exfiltration inside the workload.

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Protect AI Where It Actually Runs

Secure AI applications from inside the workloads where they run, with runtime visibility to discover models, inspect the prompts they receive, and monitor what the workload does next.

Monitor

Discover the AI models, providers, frameworks and versions in use across your workloads, including unsanctioned services that never went through security review.

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Detect

Flag prompt injection, jailbreak attempts, sensitive data exposure and model misuse, then correlate suspicious AI interactions with the workload behavior that follows.

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Enforce

Block harmful prompts before they execute and deny unauthorized actions inside the AI workload, such as malicious processes or credential theft, at the point of execution.

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See Which AI Your Applications Actually Use

Find the AI models and services running in production, including the ones nobody approved. Aqua maps LLM use, model types, platforms and versions across environments and shows which applications communicate with which AI services.

Webinar

Secure AI Everywhere: From Edge to Container

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See Which AI Your Applications Actually Use

Define Which AI Models Teams Can Use

Keep AI usage within the models and services your organization has approved. Security teams authorize specific AI services and models, and Aqua flags unauthorized usage as soon as it appears in a running application.

Catch Unsafe AI Use Before Deployment

Find embedded LLMs and unsafe prompt handling before code reaches production. Aqua scans repositories and CI/CD pipelines for undocumented AI use, and GenAI Assurance Policies aligned to the OWASP Top 10 for LLMs flag risky patterns before release.

Blog

Securing LLM Apps with Aqua: Beyond the OWASP Checklist

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Block Prompt Injection and Jailbreaks

Stop harmful prompts before they reach the model. Aqua evaluates supported prompts and responses for injection, jailbreak attempts, sensitive data exposure and model misuse, and blocks the interaction before it executes.

Blog

How to Secure AI Workloads from Code to Cloud to Prompt

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Stop Attacks That Get Past the Prompt

Keep an attacker who gets through the prompt layer from acting inside the workload. The Aqua Enforcer protects the process, file, network and identity behavior around the AI application, denying supported actions such as credential theft or data exfiltration at the point of execution.

Deploy Without Rewriting the Application

Add AI security without inserting an application SDK or routing traffic through a new proxy. Secure AI works from inside the workload, so teams can protect AI applications already in production without waiting on a development cycle.

Integrations

Protect AI on Kubernetes and IBM Z, With Akamai at the Edge

Secure AI protects AI applications in containers and Kubernetes across public cloud, private cloud, hybrid and on premises environments, including containerized AI on IBM Z mainframes. Through Aqua's partnership with Akamai, Akamai Firewall for AI Applications adds prompt and output analysis at the edge alongside runtime protection inside the workload.

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“You cannot secure AI without first securing the container foundation it’s built upon. Containers have become the new infrastructure layer for AI, and they must be protected with the same rigor as the workloads they power.”

Chris Ray, Analyst at GigaOm

FAQs

What is AI application security?

AI application security protects applications that use AI models, along with the workloads they run in. It covers discovering which models and services are in use, governing approved usage, inspecting prompts for attacks and protecting the workload after a compromise. Aquasec delivers it without application SDKs or code changes.

How is Secure AI different from a prompt firewall?

A prompt firewall inspects what goes in and out of the model, but it cannot stop an attacker who is already acting inside the workload. Secure AI inspects prompts natively and also protects the AI workload at the kernel layer, denying supported unauthorized actions at the point of execution.

Does Secure AI require an agent or SDK?

Secure AI does not require an application SDK or code rewrite. Runtime protection for the workload runs through the Aquasec Enforcer, the same component that protects containers and Kubernetes, which is deployed alongside the workload rather than inside the application code.

How do Aquasec and Akamai work together?

The Aquasec Enforcer runs inside the AI workload to discover models, inspect interactions and protect the workload at runtime. Akamai Firewall for AI Applications adds prompt and output analysis at the edge and blocks Layer 7 DDoS and bot traffic before it reaches the application.

Can Secure AI protect AI workloads on IBM Z?

Yes. Secure AI protects containerized AI workloads running on IBM Z, which matters for organizations that run AI alongside data that lives on the mainframe.

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See What Runtime Control Looks Like in Your Environment

See runtime control stop an attack the moment it tries to execute.