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Kasada Launches AI Agent Trust To Secure the Future of Agentic Commerce

Kasada Launches AI Agent Trust To Secure the Future of Agentic Commerce

As AI agents increasingly act on behalf of consumers across digital commerce journeys, enterprises are facing a new trust and security challenge. Kasada has announced the launch of AI Agent Trust, a solution designed to help organizations securely manage and govern the growing volume of AI agents and automated traffic interacting with websites and applications. The launch highlights how security and enablement must now evolve together as agentic commerce becomes part of the mainstream digital experience.

Kasada introduced AI Agent Trust to give brands precise control over which AI agents can access their digital properties and what actions those agents are allowed to perform. As AI powered assistants browse products, compare prices, and support transactions on behalf of users, traditional bot management tools have struggled to keep pace. Many were built to block automation outright, relying on blunt controls that can disrupt legitimate activity or fail to differentiate between malicious bots and trusted AI agents acting for real customers.

“Enterprises don’t want to choose between enabling agentic commerce and protecting their customers,” said Jono Hope, Head of Product at Kasada. “They want precise control over what different agents can and cannot do without adding friction.”

Industry analysts have increasingly validated the need for a new approach to bot and agent trust management. As automation becomes more sophisticated, organizations must be able to consistently distinguish between harmful automated attacks and legitimate AI agents operating with user intent. This distinction is critical not only for security, but also for maintaining conversion rates, protecting revenue, and preserving customer experience across the full digital journey.

Kasada’s AI Agent Trust is designed to address this shift by enabling enterprises to verify AI agents, apply policy based access controls, and gain visibility into how automated traffic behaves across their digital environments. One core component is a verified bots and agent directory, which maintains a growing list of recognized AI crawlers, assistants, and agents. This directory is enriched with vendor identity and category data and supports emerging standards such as Web Bot Auth, helping organizations identify legitimate automation with greater confidence.

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The solution also introduces policy based agent access controls, allowing enterprises to define trust driven rules for verified agents. Rather than blocking all automation, teams can permit approved agents to perform specific actions while preventing abuse. These controls are secure by default and designed to adapt as business models and agent use cases evolve.

Enforcement happens in real time at the edge, before automated traffic reaches downstream systems. By making trust decisions upstream, Kasada helps protect performance, analytics integrity, and revenue while minimizing friction for legitimate users and AI assisted interactions. In addition, AI Agent Trust provides detailed reporting and visibility through the Kasada Portal, allowing teams to monitor verified agent activity, request patterns, and endpoint interactions. Verified agent data can also be accessed through custom reporting for deeper operational analysis.

“AI Agent Trust is built to give teams that flexibility, so they can confidently allow AI assisted interactions where they make sense, while still enforcing the permissions and safeguards their business requires,” Hope added.

Early adopters of the solution include organizations with proprietary content as well as businesses offering AI assisted shopping, booking, and ordering experiences. In these scenarios, blocking the wrong type of agentic traffic can directly impact conversion and revenue. With AI Agent Trust, Kasada is positioning itself at the intersection of security and commerce enablement, helping enterprises move toward a future where agentic interactions are both trusted and controlled.

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