Cyberfraud protection startup DataDome SAS today announced advancements to its platform and partner ecosystem that are focused on putting businesses back in control of how artificial intelligence agents access and interact with digital assets.

The advancements seek to address the growing need of enterprises to deal with the rapid rise of large language models, crawlers and automated agents that are reshaping the internet economy. With the updates, DataDome’s AI engine now enables the identification, categorization, adaptation and response to traffic in less than two milliseconds with new expanded intent-based AI models, LLM detection and new AI agent response policies.

With the rise of LLMs and agentic AI, not only are legitimate users using these tools, but also fraudsters. DataDome argues that traditional fraud prevention methods that focus solely on identity and Turing tests, blocking bots and all other automated traffic, are no longer sufficient and run the risk of blocking valid traffic or letting fraudsters through.

DataDome’s AI engine addresses the issue by detecting intent, not just identity. The latest enhancements give customers deeper control over user intent and allow them to distinguish between legitimate AI-driven use and malicious automation.

The company’s platform now automatically groups all LLM crawlers and AI agents into a dedicated category, offering visibility into which models are accessing digital assets, how often and for what purpose. The visibility is paired with intelligent policy recommendations to help security teams quickly respond based on bot identity, behavior and trustworthiness.

The advancements are complemented with new AI models that enhance multilayered AI detection. One of the new models, which detects sudden traffic spikes from unique user agents, IP-based network identifiers and header patterns, has already proven effective, blocking more than 1.2 million malicious requests in 48 hours.

The platform runs hundreds of foundational AI models, as well as more than 85,000 customer-specific and use-case-specific AI models tailored to unique traffic patterns, intent-based behavioral analysis and threat profiles for endpoints such as login, password reset, add-to-cart and payment flows.

“AI isn’t a feature — it’s the foundation of everything we do,” said co-founder and Chief Executive Benjamin Fabre. “It’s what powers our ability to stop bots and fraud in real time, with precision and scale. But more than that, it’s what gives our customers the visibility and control they need to stay ahead as AI agents reshape the internet economy.”

DataDome is a venture capital-backed startup, having last raised $42 million in new funding in March 2023. Investors in the company include InfraVia Growth Management SAS, Elephant Venture Capital GmbH and ISAI Gestion SAS.

Photo: DataDome