Security teams are facing urgent questions as AI moves from experimentation to production. What models are running in our environment? Where are they deployed? Are they operating within policy and if not, can we stop them? Existing tools offer limited answers and they rarely provide governance without slowing developers down. To move forward, security leaders need a clear path to operationalize AI security, one that delivers visibility, policy enforcement and protection where AI actually runs.
Aqua Secure AI was built to address this challenge. Through the launch of the Secure AI Advisory Program, we are partnering with a select group of security leaders to define how visibility, governance and policy enforcement should operate in production environments. If you are interested in joining this program, see the link below to learn more.
Securing the Layer Where AI Workloads Live
As organizations adopt AI across the enterprise, they are assembling layered security strategies. Some are deploying AI firewalls to monitor user interactions with public models. Others are integrating SDKs to enforce controls at the application level. While these approaches provide value, they do not address the core infrastructure where AI logic runs and do not provide the centralized visibility across the application lifecycle.
Aqua focuses on securing the services and workloads that power AI capabilities in production. These are the environments where inference takes place, where models interact with sensitive data, and where security teams often have the least visibility. Secure AI delivers runtime protection at the application layer. It provides insight into what models are being used, how prompts are handled, and whether usage complies with internal policies. This visibility is powered by Aqua’s lightweight, eBPF-based agent that runs inside the workload itself. With this approach, security teams gain the ability to monitor activity, enforce policy and respond to emerging threats without requiring changes to the application code or development processes.
According to Gartner, Over 70% of AI applications are deployed in containers, running on Kubernetes and cloud native infrastructure. This is the domain Aqua was built to protect.
A Program Built on Partnership, Not Preview
The Secure AI Advisory Program is a strategic collaboration between Aqua and select security leaders who are taking a proactive role in shaping the future of AI security. These teams are already building, deploying or planning AI-powered applications and understand that governance and risk management cannot be retrofitted after the fact.
Aqua Secure AI Advisory Program Partners will:
- Share insights and requirements based on their AI adoption goals
- Collaborate directly with Aqua’s product and engineering leadership
- Help shape policies and best practices for secure AI deployment in production
- Validate use cases across visibility, governance and threat detection
The program provides a structured opportunity for feedback, collaboration and shared innovation. It allows Aqua to continue evolving Secure AI capabilities in line with the challenges enterprises are facing today, while helping participants accelerate their own security strategies.
Security leaders are clearly prioritizing this shift, a recent McKinsey survey found that 97 percent of security organizations expect to increase spending on securing AI use cases, reinforcing the need for practical, purpose-built solutions that can scale with adoption.
Built on a Foundation of Cloud Native Expertise
Aqua has spent nearly a decade securing containerized applications across hybrid and multi-cloud environments. Our platform delivers deep runtime protection, behavioral detection and policy enforcement for the world’s largest enterprises. Secure AI is a natural extension of this foundation, bringing the same trusted capabilities to the emerging risks introduced by generative AI and large language models.
As AI is increasingly embedded into modern applications, it becomes part of the cloud native stack. Aqua’s Secure AI capabilities are fully integrated into the Aqua Platform, providing runtime visibility and control over AI workloads without introducing friction into the development process. This includes monitoring prompts, validating outputs, identifying unsafe model usage, and enforcing runtime policies that align to frameworks such as the OWASP Top 10 for LLMs.
Where AI Security Meets Execution and Leaders Drive Change
The Secure AI Advisory Program reflects a growing shift in how organizations approach AI security. Teams are no longer focused only on detecting usage, they are looking to operationalize policy, enforce governance and manage risk at the point where AI interacts with data and users.
Aqua is committed to supporting that shift with purpose-built capabilities, designed to protect AI where it runs. Through this program, we are working in close partnership with security leaders to ensure that as adoption scales, protection scales with it.
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