MokN Raises $15 Million for Phish-Back Platform

MokN's platform deploys realistic decoy access points to lure attackers into revealing compromised credentials, enabling organizations to respond before abuse occurs. The post MokN Raises $15 Million for Phish-Back Platform appeared first on SecurityWeek .

The article reports that French cybersecurity startup MokN raised $15 million in Series A funding to expand its 'phish-back' platform, which uses ultra-realistic decoy access points (such as fake VPN or webmail portals) to lure attackers, capture compromised credentials, and trigger automated recovery workflows before those credentials are abused.[1][3] This represents an active identity recovery approach to credential-theft defense, positioning MokN as part of modern SaaS-based security tooling that integrates into enterprise environments and existing security stacks.[1][3] From a CyberSE.AI perspective, while the article does not explicitly mention AI, platforms of this type increasingly embed machine learning for anomaly detection, automation, and decisioning, which introduces SaaS AI risk around opaque logic, potential misclassification, and dependency on a third-party SaaS provider for critical identity protections. Organizations adopting such a service should evaluate its AI/automation components, data flows, and integration touchpoints as part of an AI Security Readiness Assessment, assess vendor and supply-chain exposure (e.g., SBOM, model dependencies), and use Continuous