Radware launches agent trust management product for AI security

By Splitfeed EditorialLast updated Sep 30, 2026, 08:20 UTC

On September 29, 2026, Radware launched a product it calls Agent Trust Management, aimed at securing interactions between AI agents and controlling what those agents are permitted to access. The announcement was covered by Quiver Quantitative, Investing.com, and The Fast Mode all on the same day, with reporting that raised no disputed claims about the product's features or purpose. The offering targets the governance layer of AI agent deployments, specifically the question of which agents can do what, and under what conditions.

The launch sits inside a fast-moving conversation about agentic AI, meaning systems where AI models take autonomous actions, call external services, and interact with one another without a human approving each step. As those systems move from prototypes into production environments, the question of access control becomes pressing in a way it was not when AI was mostly a tool that produced text for a person to act on. A product like Agent Trust Management is a commercial bet that enterprises will pay separately for an oversight layer rather than rely on controls baked into AI platforms themselves. Whether that market actually materialises, and whether Radware's approach is technically sufficient, are genuinely open questions.

No reactions from the Pro-AI, Anti-AI, or Middle Ground camps have been published yet. Typically, Pro-AI voices would welcome security tooling of this kind as evidence that the industry is maturing responsibly and that risks from autonomous agents can be managed without restricting deployment. Anti-AI commentators would more likely argue that a commercial security product does not substitute for regulatory requirements and that the existence of a trust management market confirms how much uncontrolled risk has already been introduced. Middle Ground observers would generally treat the launch as a sensible but insufficient step, pointing out that governance tools only work if organisations actually adopt and enforce them.

The argument will sharpen as enterprises report whether Agent Trust Management integrates cleanly with the major AI agent frameworks, and as regulators in the EU and elsewhere clarify whether voluntary access controls satisfy emerging compliance obligations for autonomous AI systems.