Riskified Launches Agent Identity Risk Intelligence
Riskified, a provider of digital fraud and risk intelligence, has released Agent Identity Risk Intelligence to identify the artificial intelligence personal assistant behind orders or customer service requests, resolve them to real consumer identities, and return risk signals in real time.
With Agent Identity Risk Intelligence, Riskified will recognize when an order or customer service request comes from a personal AI assistant. Where an assistant or commerce platform provides a verified agent credential, Riskified will accept it. Either way, Riskified will connect the request to the person behind it, drawing on what the network already knows from billions of orders, claims, and chargebacks. This recognition will first be available to merchants on Shopify, where orders placed through Meta's Muse already arrive tagged as agent-originated, and will extend to other platforms as agent identification standards take hold.
Riskified leans on identity and network history, the behavior of the agent, which signals intent, and in post-checkout interactions, such as refund requests, it can engage the assistant directly, confirming details or applying step-up friction that a legitimate assistant can satisfy and a script cannot. The result is a risk decision that reflects both the identity behind the agent and the agent's own behavior.
The same signals will feed AI Agent Intelligence reporting in Riskified Control Center, which will show merchants their share of orders and claims arriving through personal AI assistants, whether verified or inferred, broken out by assistant, where one can be identified.
Riskified will support policies by agent type within Riskified Decision Studio, auto-approving low-risk agent orders from verified identities while routing high-risk agent-originated refund claims for review. Control Center will report approval rates, fraud rates, and claim-abuse rates for agent-originated traffic alongside the rest of the business, so merchants can see whether that traffic behaves differently and tune their policies accordingly.
The same identity risk category will flow into Riskified's integration with Zendesk, so both human agents in Zendesk Agent Workspace and Zendesk's Specialized AI Agents can see when a refund or return request arrives through a consumer AI assistant and act on the risk of the person behind it.
"Agent protocols solve a real problem: Merchants need a secure way to let a customer's assistant act for them. What they don't solve is whether that customer should be trusted. A fraud ring can authorize an agent as easily as a loyal shopper can," said Assaf Feldman, chief strategy officer, technology and co-founder of Riskified, in a statement. "Riskified sits on top of those protocols and answers the harder question, using what our identity engine already knows about the person behind the agent, so merchants can welcome a good customer's assistant, decline a bad actor's, and notice the moment a real customer's agent starts doing something that the customer never would."