Visa and Akamai team up to secure agentic commerce with Trusted Agent Protocol

Akamai Technologies Inc. (NASDAQ: AKAM) and Visa Inc. (NYSE: V) have entered into a strategic partnership to fortify the emerging domain of agentic commerce, deploying a joint identity authentication solution that allows merchants to recognize and trust AI agents acting on behalf of consumers. The initiative integrates Visa’s new Trusted Agent Protocol with Akamai’s edge-powered behavioral intelligence to authenticate agents, prevent fraud, and operationalize a scalable trust framework for AI-powered shopping activity across 175 million Visa-accepting merchant locations.

This development directly addresses rising institutional concern around the security implications of AI agents engaging in high-frequency transactions on consumer behalf. As AI-generated traffic soars, the partnership offers a first-mover advantage in enabling seamless, secure, and scalable AI commerce without undermining consumer trust or merchant control.

Why are Visa and Akamai building authentication layers for AI shopping agents in 2025?

The collaboration between Visa and Akamai is not a marketing gimmick or a marginal UX update—it is a defensive and strategic move to prevent a looming security breakdown in the fast-accelerating agentic commerce ecosystem. Autonomous AI agents capable of browsing, comparing, and transacting across e-commerce platforms are reshaping digital commerce. But their rapid adoption has created a new type of identity and trust challenge: how do merchants authenticate who the agent is, who it represents, and whether the transaction is legitimate?

According to Akamai’s 2025 Digital Fraud and Abuse Report, AI bot traffic grew by 300 percent in the past year alone, with over 25 billion agent-generated requests recorded in a two-month span within the commerce vertical. That surge is not only driving conversion friction and customer experience risk—it is fundamentally expanding the threat surface for credential abuse, impersonation, and bot-driven fraud.

The Trusted Agent Protocol was built specifically to mitigate that risk. Designed by Visa and deployed through Akamai’s edge infrastructure, the framework provides a standards-based mechanism to validate agent identity, user linkage, and transaction integrity in real time. Rather than rely on static credentials or back-end fraud analytics, this solution operates upstream—before sensitive payment flows begin—letting merchants detect anomalies, enforce policy, and maintain risk posture.

By offloading this recognition burden to the edge, Visa and Akamai offer merchants a way to preserve personalization, identity continuity, and trust without requiring major changes to checkout flow, backend infrastructure, or user experience.

How does the Trusted Agent Protocol solve the dual identity problem in agentic commerce?

The core innovation in the Trusted Agent Protocol lies in its ability to authenticate both the AI agent and the human user it represents. This is the dual-identity challenge: it is not enough to verify that an AI agent is allowed to operate—a merchant must also understand who that agent is acting on behalf of.

Visa’s Trusted Agent Protocol enables an AI agent to cryptographically assert its identity, its mission scope (e.g., browsing versus purchasing), and its authorization to use specific payment credentials. Meanwhile, Akamai’s behavioral intelligence platform adds an additional layer by observing device posture, session metadata, and known risk signals, further enhancing confidence that the agent is operating within expected boundaries.

This joint approach yields a full-stack, real-time risk assessment pipeline. The agent proves it is authorized, Akamai confirms behavioral legitimacy, and both platforms collaborate to preserve the merchant’s account context and consumer identity signals through the transaction lifecycle.

For merchants, this offers a seamless way to embrace AI agents without sacrificing control over fraud prevention, payment routing, or the user relationship. For consumers, it reduces friction while reinforcing trust that their delegated AI agent will behave as intended.

What’s at stake if agentic commerce scales without security protocols like these?

The business case for agentic commerce is strong—automated agents can increase conversion rates, enable 24/7 product discovery, and power more personalized and efficient buying journeys. But the potential downside is equally significant.

Without a scalable way to verify agent authenticity and intent, e-commerce platforms risk reintroducing many of the same vulnerabilities that bot protection, CAPTCHAs, and multi-factor authentication were designed to solve. Worse, poorly identified agent activity can lead to transaction fraud, misattribution, and regulatory risk if payment or consumer consent processes break down.

Visa and Akamai’s shared architecture addresses these challenges with minimal disruption. The Trusted Agent Protocol transmits the agent’s authorization credentials to the merchant, shows who the agent represents, and handles payment transmission in accordance with merchant-specific expectations. Akamai’s layer validates this flow before it reaches sensitive backend systems, enabling secure acceptance of AI-led traffic at scale.

The risk of inaction is clear. If merchants cannot differentiate between good agents and malicious bots, they will resort to blocking all automation—strangling innovation and frustrating legitimate users. By solving the trust problem early, Visa and Akamai position themselves as indispensable enablers of the next commerce paradigm.

Which merchants and sectors stand to benefit most from this protocol integration?

Sectors that already rely on dynamic pricing, high transaction volumes, or loyalty-driven personalization are likely to benefit first from the Trusted Agent Protocol. Retailers, particularly those managing omnichannel operations with real-time inventory systems, stand to gain immediate advantages as AI agents become more embedded in the shopping journey. Similarly, travel and hospitality platforms—where automated booking agents are already in use—can adopt the protocol to ensure that AI-driven reservations and payments remain verifiable and secure.

Subscription-based and streaming service providers that incorporate user-preference engines and agent-led content discovery tools also represent a natural fit. These platforms depend heavily on personalization and require a high degree of trust in automated interactions. Financial services and fintech companies that offer programmable wallets, delegated banking assistants, or AI-based advisory bots will likewise benefit from a standardized way to authenticate and authorize these agents across digital touchpoints.

Nine of the top ten global retailers currently rely on Akamai’s infrastructure for bot protection and digital performance optimization. The integration of the Trusted Agent Protocol into this existing footprint allows these merchants to enable agentic commerce without needing to redesign backend systems or overhaul checkout flows.

In addition, the fact that Visa’s protocol operates on industry-standard web infrastructure means that adoption is not limited to large enterprises. Mid-sized and smaller merchants experimenting with AI-powered shopping assistants or in-app product advisors can implement the protocol with minimal technical overhead. This accessibility positions the protocol as a practical trust solution for businesses across the e-commerce spectrum as agent-led interactions continue to scale.

How will this collaboration shape the broader future of AI identity and trust frameworks?

This collaboration signals a much broader shift in digital identity architecture—away from centralized, static credentials and toward dynamic, contextual, and agent-aware identity validation.

The commercial web was built for human users, not software agents. As that shifts, trust must become programmable. Visa and Akamai are positioning themselves to define the standards that govern AI-to-commerce interactions, with protocols like Trusted Agent acting as the handshake layer between autonomous systems and real-world economic flows.

Future iterations could extend beyond shopping. For example, agentic interactions in health tech, enterprise SaaS, or financial portfolio management may also require verified identity, credential scope, and behavioral trust. The frameworks built today will likely be adapted to secure other agent-mediated domains, including gig economy tasks, legal filings, or even regulatory submissions.

The long-term strategic advantage goes to whoever controls the pipes that verify agents before they touch sensitive systems. In this context, Visa is not just a payment network—it is trying to become a trust broker for AI agents. And Akamai, with its edge-based infrastructure, is the natural conduit.

What are the key takeaways from the Akamai–Visa Trusted Agent Protocol integration?

• Visa and Akamai have launched a joint identity protocol to secure agentic commerce through real-time agent and user recognition.
• The Trusted Agent Protocol authenticates both the AI agent and the consumer it represents, addressing the dual-identity challenge in AI-led transactions.
• Akamai adds behavioral intelligence and bot detection at the edge, providing merchants with actionable trust signals before payment flows begin.
• The system is designed to scale with minimal changes to existing merchant checkout flows or infrastructure.
• AI-generated bot traffic has surged 300 percent in one year, underscoring the urgency of implementing scalable fraud and identity controls.
• Merchants in retail, travel, and fintech are expected to be early adopters of this architecture to support delegated AI agent transactions.
• Visa is positioning Trusted Agent Protocol as a foundational trust layer for agent-mediated commerce across 175 million merchant endpoints.
• This integration could lay the groundwork for broader AI identity protocols across other sectors, including healthcare and enterprise software.