DataDome Launches AI-Focused Virtual Queue to Prioritize Trusted Agents

Context During product drops, flash sales and ticket releases, websites face sudden spikes from both human shoppers and AI-powered buying agents. Traditional virtual queues manage volume but cannot tell whether a request comes from a legitimate consumer, a helpful AI assistant or a malicious bot.

DataDome’s Priority Protect uses intent-aware analysis to score traffic in real time. It grants priority to trusted agents while throttling or blocking bots, and it sits within the company’s broader agent-trust infrastructure for authenticating AI actors on commerce platforms.

Key Facts DataDome’s Priority Protect platform manages traffic spikes from human shoppers and AI buying agents during events such as product drops and flash sales.

PYMNTS warned that fraud threats are evolving as fast as AI-driven transactions grow, highlighting the need for defenses that keep pace with machine-speed attacks.

DataDome raised $42 million in Series C funding to expand its AI-driven bot detection platform, financing the rollout of Priority Protect.

What It Means Legacy bot defenses often intervene after inventory has been reserved, allowing scripts to lock up stock before checkout. By evaluating intent early, Priority Protect aims to reduce inventory hoarding and improve fairness for genuine consumers.

Retailers can integrate the tool via existing DataDome APIs, gaining real-time scoring without adding noticeable latency. Early adopters may see fewer cart-abandonment spikes caused by bots and better allocation of limited-edition items.

Watch for how adoption of agent-trust metrics influences broader fraud-prevention standards and whether regulators issue guidance on AI-agent authentication in commerce.