MokN Raises $15M to Scale Its Phish-Back Platform

MokN closes a $15 million Series A.

The round was led by GV (Google Ventures), marking its first investment in a French startup. Datadog also participated, alongside European funds already in the cap table such as Moonfire (UK), OVNI Capital (FR) and several angels. Six months earlier, the company had raised €2.6 million in seed.

MokN has developed an approach it calls “phish-back.” The principle is to deploy fake access points (VPN gateways, webmail portals) that faithfully reproduce a company’s environment. When an attacker attempts to log in using stolen credentials, those credentials are involuntarily exposed. Security teams can then neutralize them before any exploitation, or even before they appear on the dark web.

An Offensive Technique: Phish-Back

This approach stands out from existing solutions, which typically intervene after a breach. Phishing remains the primary intrusion vector in Europe, involved in about 60% of cases according to ENISA. In France, the Ministry of Interior recorded 348,000 digital incidents in 2024, a 74% rise in five years.

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MokN will use the funds to broaden its offering. By the end of the year, the startup plans to launch two new products: protection of client accounts in a B2B2C mode, and the recovery of stolen cookies and sessions. It ultimately aims to create its own standalone category, which it calls “Active Identity Recovery.”

The company currently protects more than one million users, mainly in large groups and mid-size enterprises (ETIs).

MokN already has leadership in Paris and New York. It plans to open offices in the United Kingdom and hire 30 people by the end of 2027, primarily in commercial, technical and customer success roles.

Dawn Liphardt

Dawn Liphardt

I'm Dawn Liphardt, the founder and lead writer of this publication. With a background in philosophy and a deep interest in the social impact of technology, I started this platform to explore how innovation shapes — and sometimes disrupts — the world we live in. My work focuses on critical, human-centered storytelling at the frontier of artificial intelligence and emerging tech.