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MIND Launches 'Intelligent' DLP Platform
The company's data loss prevention platform helps customers identify and classify data across SaaS and GenAI applications, endpoints, and email.
Organizations have a lot of data — application data, log files, personal information, source code, customer information, business collateral, and credentials, to name a few — and the volume continues to grow exponentially. But a lack of visibility across IT environments and difficulty with classifying data make it difficult to protect all of that data from falling into the wrong hands.
MIND emerged from stealth today with a data loss prevention (DLP) platform that promises both "visibility of data risks" and prevention of data leaks. The company said its platform discovers and classifies sensitive data across IT workloads, including software-as-a-service (SaaS) and generative artificial intelligence (GenAI) applications, endpoints, on-premises systems, and email.
An "intelligent" DLP platform integrates AI and smart automations to help customers identify, detect, and prevent data leaks, the company said.
"MIND AI is made of hundreds of tailored algorithms and a proprietary AI engine to classify and categorize sensitive unstructured data, understand context-aware business views to determine risk severity, and take automated prevention and remediation actions," the company said.
Founded in 2023, MIND was co-founded by Eran Barak, who previously founded Hexadite; Itai Schwartz, who previously worked at Torq and Axonius; and Hod Bin Noon, who specialized in real-time vulnerability detection and remediation at Dazz. As part of the launch, MIND announced it raised $11 million in seed round funding from YL Ventures and several individual investors.
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