DataDome
Real-time bot and fraud protection platform using machine learning to distinguish malicious automated traffic from legitimate users.
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DataDome provides SaaS-based bot protection that uses machine learning to detect and block bot-driven cyberattacks and online fraud in real time, protecting websites, mobile apps, and APIs from scraping, credential stuffing, account takeover, and other automated abuse. The platform is designed to distinguish malicious bot traffic from legitimate human and business-partner traffic without introducing friction like CAPTCHAs for real users.
Founded in 2015 by Benjamin Fabre and Fabien Grenier and headquartered in Paris, France with a US presence, DataDome has raised a total of $81.2 million across four rounds, including a $35 million Series B in 2021 led by Elephant and a $42 million Series C in 2023 led by InfraVia Growth. As bot mitigation increasingly overlaps with broader fraud prevention, DataDome competes in a mature but still-growing category against both dedicated bot-management vendors and broader fraud platforms.
Innovation Matrix Assessment
Continues to iterate its ML detection models against evolving bot evasion techniques nearly a decade after founding.
Blocks automated abuse without degrading legitimate user experience with CAPTCHAs, directly protecting both security posture and conversion rates.
$81.2M raised across four rounds and continued Series C-stage growth reflect strong, sustained investor and market confidence.
Bot management is now a well-established category with multiple strong competitors (Akamai, Cloudflare, PerimeterX/HUMAN); DataDome is a credible leader, not a disruptor.
Nearly a decade of continuous operation and broad customer adoption across e-commerce and other high-bot-traffic verticals is a strong real-world efficacy signal.
Automated bot attacks and AI-driven scraping continue to grow in sophistication and volume, keeping bot management a durable priority.
Why CISOs Should Care
Protects revenue-critical web and API surfaces from automated abuse without adding friction that would hurt legitimate customer conversion.
What Makes It Different
Machine-learning-driven detection tuned to minimize both false positives (blocking real users) and false negatives (missing sophisticated bots).
The Matrix Verdict
65/100 — INCREMENTAL INNOVATOR
A well-established, well-funded leader in a mature bot-management category with strong sustained commercial traction.
Editorial Note: Claims vs. Verified Findings
Funding totals are independently reported by SiliconANGLE and VentureBeat.
Sources
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