Wallarm launches AI control platform for runtime governance and security

Enterprise AI is scaling faster than most security teams can track, and Wallarm’s new platform is a response to exactly that gap. By treating AI applications, model endpoints, and the surrounding APIs as a single runtime surface, the company is effectively trying to become the observability and enforcement layer for corporate AI. That matters because as organizations wire agents into real operations—financial flows, customer data, code deployment—the blast radius of a bad prompt, a misrouted call, or a compromised model grows dramatically. From an AGI‑race perspective, tooling like this quietly lowers one of the main non‑technical bottlenecks: governance fear. If CISOs and regulators can be shown continuous traces of what AI systems are actually doing and can enforce real‑time policies when those behaviors drift, executives will feel more comfortable green‑lighting aggressive AI rollouts. That won’t make models smarter, but it will accelerate deployment and feedback loops, which in turn support larger training runs and more ambitious architectures.