A Forter expanded its tools to identify traffic generated by artificial intelligence agents and assess the risk of purchases made by these systems. The platform seeks to differentiate legitimate assistants from automations associated with fraud and to connect the agent's activity to the consumer's identity.
The change follows the rise of assistants capable of searching for products, building carts and executing purchases without the user navigating directly through the store's website. Forter says its infrastructure can already identify this traffic and apply risk decisions specific to the new channel.
The company also allows retailers to define which products an agent can buy, delivery destinations, prices and which assistants are authorized to complete a transaction.
Fraud also reaches agentic commerce
The challenge is that legitimate agents and malicious automations can reach the checkout in similar ways. In agentic transactions, traditional device or session signals may be absent, requiring new data about the origin and the platform responsible for the operation.
In January, Forter said that fraudulent agentic transactions grew 970% in six months within its network. The figure does not necessarily represent the entire market, but it indicates that risk follows the adoption of this purchasing model.
In practice, anti-fraud systems now need to determine not only who the consumer is, but also which agent is acting on their behalf and whether that relationship is legitimate.
