MIND AI – Data leakage detections
At RSAC 2025, where cyber innovation takes center stage, few names sparked as much conversation as MIND. Selected as a Top 10 finalist in the prestigious Innovation Sandbox, MIND is changing how we think about data protection, especially in a world where insider threats and AI-driven breaches dominate headlines. With automation at its core and practicality in its DNA, MIND delivers a single, unified platform for data classification, detection, and – crucially – prevention.
The Genesis of MIND: Built on Automation and Experience
Founded by cybersecurity veteran Eran Barak, MIND is rooted in two decades of experience in building scalable security solutions. Barak previously co-founded Hexadite, a pioneer in incident response automation acquired by Microsoft. His experience at Microsoft, particularly with the Microsoft Intelligence Security Association and navigating sprawling ecosystems like MIP (now Microsoft Purview), inspired him to create something radically simpler – a single data model and a single platform to classify, detect, and protect sensitive data across environments.
Platform Capabilities: From Classification to Prevention
At its heart, MIND’s platform delivers posture and prevention. Unlike many players in the space, MIND isn’t just flagging issues – it’s stopping them. The platform uses LLM-powered classification engines tailored to different industries, such as healthcare and manufacturing, to understand context and sensitivity, whether it’s medical records or bill of materials data.
It also features a real-time endpoint agent capable of classifying and intervening before data leaves the perimeter. Whether that’s stopping sensitive contract data from hitting a personal Gmail account or tagging PII files uploaded to Google Drive, MIND’s system operates autonomously and with high precision.
MIND AI Architecture Components
Built with Feedback, Evolved Through Reality
MIND’s product strategy started with a bold vision, but its features were shaped by real-world feedback. User behavior, especially ‘insider / lazy’ behavior – unintentional actions that still put data at risk – informed everything from file tagging automation to alerting HR when access anomalies occur. The system doesn’t rely on users remembering to classify files. It takes on that burden, ensuring the metadata moves with the file across cloud services like Microsoft or Google.
Smart Integrations: Visibility Meets Action
With out-of-the-box integrations to platforms like Workday and other HRIS tools, MIND provides visibility into user context, such as job role, department, or even employee risk level. This enables the platform to make smarter decisions – flagging high-risk users, watching for activity during non-working hours, and issuing escalations when sensitive data behaviors spike.
MIND AI – Auto-detection, Classification, & Categorization
How MIND Stands Out: Prevention, Not Just Posture
The cybersecurity landscape is filled with products that promise detection. MIND goes further – delivering prevention. It stops data loss in real time, without adding layers of administrative complexity or drowning teams in false positives. This is where MIND’s posture-plus-prevention model becomes a clear differentiator: the platform doesn’t just monitor…it acts.
Backing innovation takes vision – and money. MIND recently secured $11 million in funding to expand its platform capabilities and fuel go-to-market efforts. Led by YL Ventures and supported by a network of seasoned cybersecurity leaders from companies like Adobe, ADT, CrowdStrike, and FireEye, the round is a resounding vote of confidence in MIND’s mission to reinvent data loss prevention. The investment will help MIND scale operations and deepen product development around its intelligent DLP and insider risk prevention solutions.
Eran Barak noted that the funding represents more than just financial backing – it’s an endorsement of a new philosophy in data protection. At a time when enterprises are overwhelmed by alert fatigue, fragmented data environments, and AI-related risks, MIND is delivering a simplified, unified alternative that does more than observe.
Deeper Detection: One Platform, Full Coverage
MIND’s platform now spans discovery and classification across nearly every layer of the IT stack. Whether it’s SaaS apps, endpoints, email, on-prem file systems, or even generative AI applications, the system ensures full-spectrum awareness. This means that sensitive assets – PII, PHI, intellectual property, or credentials – don’t fall through the cracks.
By continuously mapping the organization’s data inventory and understanding who is accessing what, from where, and when, MIND arms security leaders with visibility and control. This level of context isn’t just useful – it’s essential for enforcing granular policies that balance protection with productivity.
MIND AI – Issues-at-a-glance
Looking Ahead: A Human-First, AI-Powered Future
For organizations juggling compliance, insider threats, and the unpredictable risks introduced by generative AI, MIND offers clarity and control. The platform helps CISOs, data privacy officers, and security architects regain visibility over their most valuable asset – information. By removing manual tagging from the equation and adding real-time, AI-informed action, MIND proves that security and productivity don’t have to be at odds.
As RSAC 2025 spotlighted the next wave of cybersecurity innovators, MIND’s message was simple but powerful: the future of data protection lies in automation, contextual intelligence, and seamless user experience. With its unified platform, MIND is not just keeping up with the pace of AI-era threats – it’s setting the pace.
For more on MIND’s selection as a Top 10 Finalist at RSAC 2025, see the official press release: https://mind.io/newsroom/mind-selected-as-top-10-finalist-for-rsac-2025-conference-20th-annual-innovation-sandbox/
About the Author
Pete Green is the CISO / CTO of Anvil Works, a ProCloud SaaS company. With over 25 years of experience in information technology and cybersecurity, Pete is a seasoned and accomplished security practitioner.
Throughout his career, he has held a wide range of technical and leadership roles, including LAN/WLAN Engineer, Threat Analyst, Security Project Manager, Security Architect, Cloud Security Architect, Principal Security Consultant, Director of IT, CTO, CEO, Virtual CISO, and CISO.
Pete has supported clients across numerous industries, including federal, state, and local government, as well as financial services, healthcare, food services, manufacturing, technology, transportation, and hospitality.
He holds a Master of Computer Information Systems in Information Security from Boston University, which is recognized as a National Center of Academic Excellence in Information Assurance / Cyber Defense (CAE IA/CD) by the NSA and DHS. He also holds a Master of Business Administration in Informatics.
