The collaboration brings Radware’s AI guardian agent services into AI initiatives earlier, expanding beyond traditional security budgets and creating new entry points into enterprise stakeholders, including security and risk teams. Dataiku’s governance and orchestration layer gives Radware a natural entry point into the enterprise. This broadens Radware’s participation in enterprise technology investments while extending Dataiku’s platform with security capabilities designed for production-scale AI deployments.

As AI systems begin executing actions across APIs, data, and business workflows, new risks emerge, including unauthorized activity, data exposure, and abuse of connected systems. Radware integrates into Dataiku’s platform designed to monitor, inspect, and help control these actions in real time, giving organizations a control point at execution visibility to help enforce policy and help prevent unintended or malicious behavior.

The combined solution is designed to give organizations greater control over how AI systems behave in production, aimed at reducing the risk of unauthorized actions, data exposure, and compliance gaps, while extending Dataiku’s platform with runtime security enforcement. For example, Radware is designed to detect and block goal hijacking attempts, and Dataiku analyzes the signal, helps identify the source, and facilitates remediation designed to help organizations to move from detection to response and strengthen security at scale.