DataDome SAS has introduced Priority Protect, an advanced queue management system that extends bot detection to smartly classify and handle human shoppers, authorized AI agents, and harmful bots during shopping peaks, ensuring fair and efficient access.
- Continuously assesses traffic to differentiate between human buyers, authorized AI agents, and malicious bots
- Enables operators to set distinct queue policies, capacity, and priority lanes integrated with existing infrastructure
- Designed to prevent queue manipulation by automated agents and ensure fairness during high-demand events
Market signal
The introduction of Priority Protect by DataDome highlights a growing market need for sophisticated digital queue management that accommodates the rising presence of AI shopping agents. Traditional virtual waiting rooms are proving insufficient as AI-driven agents operate continuously and instantly react to inventory changes, unlike human shoppers who refresh pages intermittently.
Retailers and ticketing platforms are increasingly challenged by bot traffic that can comprise a significant share of requests during major sales—31% in a cited example—disrupting fair buyer access and impacting customer experience. This signals a broader market demand for tools that effectively distinguish between legitimate and unauthorized traffic in real time.
Operator impact
Operators gain enhanced control with Priority Protect’s ability to classify incoming requests dynamically and enforce tailored access policies for humans, trusted AI agents, and bots. The continuous in-session validation approach reduces risks of queue manipulation, such as when automated behavior shifts after initial admission, which traditional tools cannot detect effectively.
The product also supports integration on the operator’s infrastructure, offering branded waiting room templates with user-centric features like position tracking and estimated wait times, helping maintain a seamless brand experience. Dashboards and APIs provide flexible capacity management and priority lane configuration, enabling operators to optimize flow and fairness during traffic surges.
What to watch next
Closely observe how adoption of AI-aware queue management evolves across sectors reliant on flash sales and high-volume digital transactions, including e-commerce, ticketing, and event platforms. The ability to differentiate authorized AI agents from malicious bots while maintaining human priority may become essential to maintaining competitive customer service and operational integrity.
Further development of AI classification and intent detection models will likely enhance solutions like Priority Protect, potentially expanding automated traffic management capabilities. Industry interest in integrating these technologies with broader fraud prevention and user authentication systems should also be monitored, alongside evolving regulatory and privacy considerations.