DataDome Launches Intent‑Aware Virtual Queue to Separate Trusted AI Shoppers from Bots

Retailers are seeing AI‑powered buying agents snap up limited‑stock items in seconds, outpacing traditional bot defenses. Agentic systems can add items to carts, compare prices across sites and hold inventory before a purchase is completed, creating a new class of threat that legacy fraud tools often miss.

DataDome’s Priority Protect platform manages surging traffic from human shoppers and AI‑powered buying agents during high‑demand events such as product drops, ticket sales and flash promotions. Unlike conventional virtual queues that merely throttle traffic, Priority Protect distinguishes trusted AI agents, malicious bots and legitimate consumers in real time using intent‑aware analysis. The platform is part of DataDome’s broader “agent trust” initiative, which focuses on authenticating and monitoring AI interactions with commerce sites.

PYMNTS warns that as AI‑driven transactions grow, fraud threats evolve just as quickly and traditional detection models rooted in human behavior patterns become ineffective against machine‑speed attacks. DataDome notes that legacy bot‑detection tools often intervene too late, after inventory has already been reserved or checkout has started, allowing agents to lock up stock before a human can act.

The launch signals a shift toward intent‑based traffic management in e‑commerce security. Defenders should consider updating bot‑mitigation solutions to incorporate intent‑scoring, monitor for rapid cart‑addition bursts from non‑human sources, and enforce rate‑limits that differentiate between legitimate AI assistants and malicious scripts. Integrating behavioral biometrics and device‑fingerprinting can further improve detection of agentic abuse.

Watch for wider adoption of intent‑aware queuing tools, updates to MITRE ATT&CK techniques covering agentic fraud (e.g., T1078 – Valid Accounts abuse via AI agents), and forthcoming guidance from payment networks on securing AI‑driven checkout flows.