Israeli data loss prevention co MIND raises $11m

Israeli Data Loss Prevention (DLP) company. mind It came out of stealth today and unveiled its platform to enable organizations to protect their most sensitive data. The company also announced that it has raised $11 million in a seed funding round led by YL Ventures with participation from cybersecurity leaders from Adobe, ADT, Crowdstrike, and FireEye.

MIND was founded in 2023 by CEO Eran Barak, who previously founded Hexadite, which was acquired by Microsoft in 2017 for $100 million, and CTO Itay Schwartz, co-founder and VP of R&D Hod Bin Noon. The founders have decades of experience in cybersecurity and served in leadership roles in the IDF’s 8200th Intelligence Unit.

“With billions of records leaked every year, we recognize that this is one of the major vulnerabilities that businesses face and a problem that lacks a comprehensive, streamlined solution for data security in the age of AI,” Barak said. “MIND enables organizations to pay attention to what really matters.” With a new approach Data Security uniquely combines data risk visibility with actionability to stop data leaks – end-to-end processing of sensitive data at rest, in motion, and in use. Our customers have significantly reduced the resources needed to effectively implement DLP programs that actually meet their security and compliance needs, resulting in greater efficiency. and productivity.”

MIND is an intelligent DLP platform that integrates AI and intelligent automation for the first comprehensive data security solution of its kind, so you can automatically identify, detect and prevent data leaks at the speed of the device. At the heart of the platform is MIND AI that puts DLP and Internal Risk Management (IRM) programs on autopilot to autonomously monitor billions of data events 24/7 in real-time, dramatically reducing false positives and nuisance alerts, and streamlining headcount. required effectively. MIND AI consists of hundreds of custom algorithms and a proprietary AI engine to classify and categorize sensitive unstructured data and understand context-aware business perspectives to determine risk severity and take automated prevention and remediation actions. MIND continuously detects and classifies sensitive data across various IT workloads including SaaS and Gen AI applications, endpoints, on-premises systems, and emails; Ensure a complete inventory of data, users and activities.

Published by Globes, Israel Business News – en.globes.co.il – on October 30, 2024.

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