DEVOPSdigest

Aqua Security introduced Secure AI, full lifecycle security from code to cloud to prompt.

These new capabilities secure AI applications through the development process and into production, including deep visibility, continuous governance, and real-time protection against threats specific to AI workloads, without requiring changes to application code or development workflows. It is security for AI that does not compromise speed.

“The rise of AI is redefining how applications are built, with most of these workloads deployed in containers,” said Amir Jerbi, CTO and co-founder at Aqua Security. “Aqua has spent nearly a decade protecting cloud native applications and this is the natural extension of that leadership. We’re bringing the same deep runtime protection that made Aqua the gold standard in container security to the next generation of AI-powered applications, with AI-first capabilities designed to address the unique risks and complexity introduced by LLMs, autonomous agents, and evolving AI-driven workflows.”

With Secure AI, security teams can detect AI usage including models, platforms, and versions, enforce governance policies aligned to OWASP Top 10 for LLMs, and stop emerging threats in real time. This includes visibility into AI agent-driven workloads, helping organizations understand how increasingly autonomous applications behave and where risk may emerge.

Aqua’s Full Lifecycle Security for AI Applications now includes:

- AI Code Scanning and Validation – Detects AI usage during development by scanning application code and validating secure handling of inputs and outputs related to LLMs and generative AI features.

- AI Cloud Services Configuration Checks (AI-SPM) – Assesses the security posture of cloud-based AI services, ensuring configurations align with organizational policies.

- Runtime Detection and Response to AI Threats – Identifies unsafe AI usage, detects suspicious activity and stops malicious activity, without requiring any changes to your application or code

- AI Visibility and Governance at Runtime – Provides comprehensive visibility into the AI models, platforms, and versions used across environments, mapped to the OWASP Top 10 for LLMs to enforce usage policies.

- Prompt Defense – Evaluates LLM prompts to identify LLM-based attacks, including code injection, JailBreak and more.

- AI Security Dashboard – Correlates insights from development, infrastructure, and runtime into a single-pane-of-glass view of AI-related risks across the organization.

“There’s growing demand for AI-specific security controls from customers across every vertical,” said Dror Davidoff, CEO and co-founder at Aqua Security. “By embedding Secure AI into the Aqua Platform, we’re giving security teams the control and visibility they need to enable safe and scalable GenAI innovation.”

Aqua’s solution directly addresses threats outlined in OWASP’s Top 10 for LLMs and mitigates AI risks across development, infrastructure, and runtime layers. As a core capability of the Aqua Platform, it empowers enterprises with a scalable, policy-driven approach to securing the next generation of cloud native applications.