Enterprise AI, in production.
    Four desks, one beat.

    Retail · News

    Visa and Akamai Take Aim at the Trust Gap in AI Commerce

    As agent-driven shopping moves toward production, merchants are demanding stronger identity and fraud controls

    Last updated

    Visa and Akamai Take Aim at the Trust Gap in AI Commerce

    As AI agents begin to execute real actions online, payments and security companies are addressing a concrete operational problem: most e-commerce systems cannot reliably distinguish a legitimate AI agent acting on behalf of a consumer from malicious automation. Visa and Akamai Technologies just announced a partnership aimed at addressing that gap, combining payment-level agent authentication with edge-based traffic analysis to help merchants identify and evaluate AI-driven activity before it reaches checkout and payment systems.

    The collaboration links Visa’s Trusted Agent Protocol with Akamai’s behavioral intelligence, bot detection, and user recognition capabilities. Visa said the protocol allows AI agents to securely convey who they represent and what they are authorized to do, while Akamai’s edge platform evaluates behavioral signals associated with that activity as it enters merchant environments. The companies framed the effort as a way to give merchants explicit controls over whether agent-initiated requests are allowed to proceed.

    Patrick Sullivan, Akamai’s chief technology officer for security strategy, said the central issue is recognition rather than automation itself. “The promise of agentic commerce hinges on recognition: the fundamental ability to trust an agent acting on someone’s behalf,” he said. Visa’s chief product and strategy officer, Jack Forestell, said the protocol is intended to integrate with existing web and payment infrastructure rather than require new checkout architectures.

    Agentic Commerce Exposes Gaps in Fraud Controls

    Agentic commerce refers to software agents that can search, compare, and complete transactions autonomously for users. While the concept has gained visibility alongside advances in large language models, merchants and security teams are already contending with its practical implications because automated traffic is rising across retail and payments environments.

    by AIM Media HouseFree · No paywall

    Keep reading. It's free.

    Create a free Deployed account to finish this story and every story on the site. Choose the briefings you want with it:

    or

    No credit card. One click to unsubscribe. Already a reader? Sign in

    About the author

    Mukundan Sivaraj

    Mukundan covers enterprise AI and the AI startup ecosystem for AIM Media House. Reach out to him at mukundan.sivaraj@aimmediahouse.com or Signal at mukundan.42.

    Related stories