Riskified, a global leader in ecommerce fraud prevention and risk intelligence, has announced a new partnership with HUMAN Security, a leading cybersecurity company, to advance a unified security framework for emerging agentic commerce channels.\nThis collaboration leverages both companies’ industry-leading AI platforms and expansive network insights to secure the next era of digital commerce. While fully autonomous shopping agents have not yet reached mainstream adoption, consumers are increasingly utilizing large language models (LLMs) like ChatGPT, Claude, Gemini, Grok, Llama, and Perplexity for product research, price comparison, and deal discovery. This behavior, coupled with rapid technological advancements including LLM browser experiences, creates both new opportunities and risks. For merchants, early adopters of AI-driven shopping stand to acquire new customers and increase conversion rates.\nHowever, traditional rules-based fraud management systems may fail when an AI agent transacts, as they often lack key behavioral signals, potentially leading to more false declines or undetected fraud. Without a robust trust framework, merchants risk revenue loss, inventory manipulation, and reputational damage.\nEarly data from Riskified’s merchant network indicates higher risk associated with LLM-referred traffic in certain industries. For example, LLM-referred traffic from a large ticketing merchant was found to be 2.3 times riskier compared to Google search traffic. In another instance, an electronics merchant observed 1.8 times riskier traffic. Riskified has also identified early signs of automated reseller arbitrage, where AI agents are deployed to rapidly strip inventory and then resell at marked-up prices via fraudulent storefronts, which other agents might then recommend. Left unchecked, these tactics can disrupt pricing strategies, erode customer trust, and cause significant revenue loss for merchants.\nTo directly address these challenges, Riskified is introducing multiple solutions and tools alongside its partnership with HUMAN. These include: AI Agent Approve, an MCP Server Package on AWS Marketplace for supply-side (merchants) and demand-side (LLMs) platforms to communicate securely with the Riskified platform APIs and accelerate the safe adoption of AI shopping agents; AI Agent Intelligence, providing dashboard views in the Riskified Control Center for monitoring ecommerce orders originating from AI shopping agents; and AI Agent Policy Builder, designed for configuration and enforcement of agentic policy abuse, including detection of programmatic returns abuse, reseller arbitrage, and promo abuse.\nBy aligning HUMAN’s recently launched HUMAN Sightline featuring AgenticTrust with Riskified’s ecommerce risk management expertise in fraud prevention, chargeback protection, and policy abuse prevention, merchants can apply consistent trust policies and transaction decisions across both human and AI-driven interactions. This collaborative approach is designed to help merchants confidently accept more legitimate AI-driven purchases, block sophisticated fraud, and protect customer relationships.\nAssaf Feldman, CTO and Co-Founder of Riskified, stated, “In a world where AI agents transact on behalf of individuals, resolving identity and trust becomes more complex. By working with HUMAN and developing new agentic tools and capabilities, we give merchants a way to safely embrace this shift, turning what could be a threat into a new, profitable digital channel.”
John Searby, Chief Strategy Officer at HUMAN Security, added, “We are incredibly excited to be working with Riskified as a launch partner, bringing together HUMAN Sightline featuring AgenticTrust with their ecommerce risk management expertise to help establish a trusted ecosystem for agentic commerce. HUMAN provides the trust layer and visibility to identify and govern AI shopping agent interactions, empowering merchants to set and enforce ‘trust or not’ policies. Riskified brings deep expertise in ecommerce transaction fraud prevention, chargeback protection, and policy abuse prevention. Together, we enable merchants to approve more legitimate AI-driven orders, reduce false declines, and protect margins, setting the standard for how agentic commerce can grow safely and profitably.”