DataDome Unveils AI Upgrades, Expands Partner Program

DataDome upgrades its AI engine and launches a new partner program, giving businesses control over AI agent traffic and digital asset protection.

Apr 17, 2025
3 minute read
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Cyberfraud protection solutions provider DataDome recently announced that it will make significant advancements to its platform and partner ecosystem to put businesses in control of how AI agents access and interact with their digital assets.

AI engine enhancements include new models and visibility features

DataDome’s AI engine enables the identification, categorization, adaption, and response to traffic in less than two milliseconds. The engine is built to detect intent, not just identity. New enhancements to the engine provide customers with deeper control over user intent, enabling them to distinguish between legitimate AI-driven use and malicious automation.

Model visibility

One of the new enhancements is that DataDome can now automatically group all LLM crawlers and AI agents into a dedicated category, providing visibility into which models access digital assets, how often, and for what purpose. This visibility is paired with intelligent policy recommendations to help security teams respond quickly based on bot identity, behavior, and trustworthiness.

New AI models

DataDome has also developed new AI models to enhance multi-layered foundations for improved detection of malicious intent. One newly deployed model is designed to identify sudden traffic spikes from unique user agents, IP-based network identifiers, and header patterns. This model has already proven effective, blocking over 1.2 million malicious requests within a two-day period. It complements existing AI models that mitigate large-scale distributed attacks in real time. 

The AI platform operates hundreds of foundational AI models and 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 Benjamin Fabre, co-founder and CEO of DataDome. “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.”

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DataDome’s New Partner Program

With a “first-of-its-kind” partner program, DataDome is “putting the control of who– or what– can access a site, app, or API back in the hands of businesses.”

The initial partner for this program will be Skyfire, a platform that seamlessly integrates with DataDome security. It enables businesses to verify the identity of AI agent traffic, allowing them to decide whether to block or permit it, thereby transforming AI agent traffic into a revenue stream on their own terms.

“AI agents are fast becoming the internet’s most active users, and they need infrastructure that moves as quickly as they do. DataDome’s partnership is a key step forward– it gives businesses the control to identify, manage, and monetize AI agent access in real time,” said Amir Sarhangi, CEO and co-founder of Skyfire. “At Skyfire, we complement that by powering the payments and KYA (Know Your Agent) identity layers, enabling website owners to identify an agent, permission access, and allow them to buy and sell data, services, and goods instantly, without human involvement.”

These controls will enable organizations to enforce LLM access licensing agreements, enable authenticated access for AI agents, or allow AI agents to remit or accept payments.

Partner programs have remained a critical part of many organizations’ strategies for 2025. Read more about c/side’s first partner program to equip MSPs with tools to handle web security.

Jordan Smith

Jordan Smith is an enterprise technology and cybersecurity journalist with nearly a decade of experience covering B2B IT, federal technology, artificial intelligence, cybersecurity, cloud computing, and emerging digital trends. His reporting helps business and technology leaders understand how new technologies, security challenges, and infrastructure decisions affect modern organizations. Jordan has reported on enterprise and public-sector technology for TechnologyAdvice, HCLTech, MeriTalk, and Channel Insider. His background spans cybersecurity, cloud infrastructure, AI adoption, digital transformation, and federal IT initiatives, giving him a broad perspective on the tools, policies, and innovations shaping today’s technology landscape. Before joining TechnologyAdvice, Jordan served as a Senior Technology Reporter at MeriTalk, where he covered the federal IT space, and later worked as a US Regional Reporter and Copy Editor/Writer for HCLTech. His experience across reporting, copyediting, podcasting, and event moderation allows him to translate complex technical topics into clear, timely, and useful insights for business audiences. Jordan holds a Master of Arts in Journalism from the University of Nebraska–Lincoln and a Bachelor of Science in Criminal Justice and Psychology from Edgewood University. Through his work, he helps readers stay informed about cybersecurity developments, enterprise technology trends, and the business impact of emerging IT solutions.

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