DataDome launches Agent Trust control plane for agentic AI traffic governance

News

DataDome has launched Agent Trust, a core component of its bot management solution designed to identify, classify, score, and govern agentic AI traffic in real time. The platform introduces two verification pillars—identity and intent verification—and provides three core capabilities: visibility into AI agents bucketed into four categories (AI Crawler, AI Assistant, Agentic Browser, Autonomous Agent), dynamic trust scoring on a 100-point scale, and policy governance ranging from out-of-the-box defaults to custom rules using 60+ traffic attributes. DataDome reports processing nearly 8 billion AI agent requests in the first two months of 2026 and documents emerging agentic abuse threats including spoofing and identity hijacking by fraudsters.

Why it matters

This launch represents a fundamental shift in DataDome’s positioning from bot blocking to trusted agent governance—a transition recognized by Forrester in its updated category “Bot And Agent Trust Management Software” (Q4 2025). The announcement continues DataDome’s sustained focus on agentic threat detection and monetization, evident across recent publications on commerce threats, vendor evaluation frameworks, and detection intent-based approaches. For enterprises, the implication is that agent identity alone is insufficient—DataDome argues that 80% of AI agents don’t identify properly and 80% of websites are vulnerable to spoofing, making intent-based behavioral analysis critical. Strategically, bundling Agent Trust features at no additional cost across all Bot Protect plans positions DataDome to compete with emerging agent-trust vendors while signaling confidence that agentic traffic governance is now table-stakes for bot management infrastructure.