
"French cybersecurity startup MokN today announced raising €2.6 million (~$3 million) for its deception-based identity protection solution. The investment round was led by Moonfire, with additional support from OVNI Capital, Kima Ventures, and several angel investors. Founded in 2023, Paris-based MokN was launched last year fully bootstrapped and is already used by over 20 enterprises, including top French businesses."
"The cybersecurity startup takes a fresh approach to securing identities: it deploys honeypots within the organization's network to lure threat actors into revealing stolen credentials. This phish-back solution relies on ultra-realistic decoy access points, including VPNs and email servers, that replicate the organization's environment. If an attacker attempts to log in to one of these honeypots using a stolen identity, the security team is alerted and can act appropriately. This approach not only outsmarts attackers, but also ensures that stolen credentials are recovered before they are sold on the dark web or used in attacks."
""The project was born out of a cyber crisis I experienced in a previous role, which highlighted that a seemingly obvious approach was still missing from the market. Today, with proven technology, strong traction, and no direct competition in the US, we see a unique opportunity ahead," MokN co-founder and CEO Gautier Bugeon said."
MokN secured €2.6 million in funding led by Moonfire, with participation from OVNI Capital, Kima Ventures, and angel investors. The Paris-based startup was founded in 2023 and launched fully bootstrapped, already deployed by over 20 enterprises including leading French companies. The solution uses deception technology and honeypots—ultra-realistic decoy access points such as VPNs and email servers—to attract attackers and surface stolen credentials. Alerts enable security teams to recover credentials before resale on the dark web or reuse in attacks. The funding will support European operations, US expansion with relocated leadership, and investments in detection, product, sales, and marketing.
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