MIND™, the upcoming leader in data loss prevention (DLP), announced $30M Series A funding, just seven months after emerging from stealth, led by Paladin Capital Group and Crosspoint Capital Partners with participation from Okta Ventures and existing investor YL Ventures. This round brings MIND’s total funding to over $40M and will fuel MIND’s strategic growth and enhance its data security platform capabilities.
In the past seven months, MIND has achieved 500% customer growth, gained significant traction among Fortune 1000 companies, prevented sensitive data loss across hundreds of thousands of endpoints through its proprietary endpoint agent and delivered immediate value by protecting the sensitive data of leading enterprises. Recently, MIND was named one of the top 10 finalists – and the only DLP startup – for the 20th annual RSAC™ 2025 Conference Innovation Sandbox contest.
“MIND was founded to help organizations thrive in the AI era and navigate the exponential growth of sensitive data in complex IT environments,” said Eran Barak, Co-Founder and CEO of MIND. “Our rapid growth reflects a clear market shift toward smarter, faster and fully automated approaches to DLP and insider risk. This funding validates both our product and the market demand. With the backing of our new investors, each bringing deep expertise in data security, we’re positioned to revolutionize the DLP category, empower secure innovation and double our R&D and go-to-market teams by year’s end.”
Also Read: Bregal Milestone Launches CyberSentriq as Cybersecurity Leader
Organizations are overwhelmed by a surge in unstructured data and legacy DLP tools can’t keep up. They rely on manual policies, produce excessive false positives and lack the context to detect real risk. In 2024, over 1.7 billion individuals were affected by data breaches, with the average breach costing $4.88 million, marking a 10% increase from the previous year and the highest ever recorded. In addition, insider risk is top of mind for every organization with the current macro environment, corporate and federal layoffs, and high-profile incidents with North Korean IT workers and manipulated employees, such as the recent data breach at Coinbase. For security teams, the pressure is higher than ever. Real-time insider threat detection and rapid response are no longer optional; they’re essential.
As the first AI-native DLP platform, MIND puts DLP and insider risk management (IRM) programs on autopilot to autonomously find sensitive data, fix data risk issues and stop data leaks at machine speed. MIND takes a unique approach by combining data security posture and data loss prevention in one unified platform. MIND AI, the company’s multi-layer classification engine, delivers posture through the discovery and classification of sensitive data that matters and reduces DLP false positives to nearly zero. It automates workflows to enable security teams to proactively remediate data risks with minimal manual effort. Prevention starts with the real-time detection and blocking of attempts – whether malicious or inadvertent – to exfiltrate sensitive data out of an organization’s digital environments. MIND‘s immediate and autonomous decision-making uses both the sensitivity of the content, combined with the understanding of the business context, to determine normal user behaviors versus high-risk behaviors that should be stopped.
Source: PRNewswire