Varonis has acquired SlashNext, an AI-native email security company renowned for its phishing detection capabilities.
The acquisition aims to create a comprehensive platform combining data security, email protection, and AI-powered threat detection.
The deal strengthens Varonis’ ability to detect and block attacks launched via email and collaboration platforms before they escalate into data breaches. While the acquisition value has not been disclosed, the move marks a significant expansion of Varonis’ Data Security Platform by integrating advanced phishing and social engineering defence.
Varonis, founded in 2005, focuses on protecting data from cyber threats with its suite of detection, monitoring, and response tools. Its platform has evolved over the years to include real-time data detection and response, advanced user and entity behaviour analysis, incident response services, and its managed data detection and response (MDDR) offering launched in 2024.
SlashNext, founded by Atif Mushtaq, uses proprietary AI technology to detect both expert-created and AI-generated phishing and social engineering threats. Its detection engine, leveraging computer vision, natural language processing, and virtual browsers, outperformed major competitors in independent tests conducted by the Tolly Group.
With this acquisition, Varonis gains SlashNext’s multi-channel phishing defence capabilities, extending protection across email, WhatsApp, Slack, Teams, and Zoom. The combined technologies will help customers spot early signs of compromise and stop attacks before sensitive data is impacted.
The deal follows Varonis’ long history of innovation, including its 2013 introduction of real-time data detection, the launch of UEBA in 2016, the establishment of Varonis Threat Labs in 2018, and the creation of its MDDR service in 2024.
Varonis founder Atif Mushtaq said, “With SlashNext, we created a technology that identifies characteristics in tone and style that reveal the attacker’s intent and motive. Once identified, SlashNext trains itself on the core threat and a multitude of possible variations that it self-generates. The result is a technology that detects expert-created and AI-generated social engineering threats more accurately than anything else on the market.”
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