Trust platform, Forter, has announced new innovations to provide ecommerce retailers with the ability to confidently trust AI agents from discovery through to payments.

Immediately after the debut of ChatGPT Agent, Forter recorded a +18,510% day-on-day increase in agentic traffic across its network. With product research, discovery and transaction increasingly assisted by and delegated to AI agents, this poses new complexities for retailers. It means legacy approaches to identity management and fraud prevention may not be able to keep up, creating customer friction and exposing brands to fraud risk.   

“Agentic AI presents an enormous growth opportunity for merchants,” said Cyndy Lobb, Chief Product Officer of Forter. “What we hear from the market is control against fraud and risk in this AI-era is critical to unlocking this opportunity. Our commitment is to give merchants and commerce organisations the confidence to experiment and scale with agents and agent developers.”   

With Gartner also projecting AI agents will be responsible for 20% of ecommerce traffic in the next five years, retailers require visibility into AI-driven activity on their sites.

Forter’s Identity Monitoring For Agentic Commerce solution recognises both agent and human identities and behaviours, enabling retailers to address AI fraud risk amid the accelerating shift towards agentic commerce.  

With enhanced AI agent detection, its models distinguish between different types of AI agents, while AI-driven browsing identification detects visits that are referred from agents, chatbots and other tools.

 ”Since our founding more than a decade ago, Forter has been at the forefront of AI to unlock opportunities for merchants… Now we are at the forefront of agentic commerce, while continuing to invest in fraud prevention, payments optimisation and several new areas,” said Michael Reitblat, Chief Executive Officer of Forter. 

Looking ahead, Forter’s future releases are set to include multiple agents for automating policies and building insight to identify trends across a consumer base, agentic tokenisation to make it easy for agent developers to build commerce-focused agent workflows, as well as integrations with agentic commerce and payments infrastructure providers.