Reimagine DLP for the Modern Enterprise

Legacy data loss prevention (DLP) tools are failing today’s organizations. They’re hard to deploy, generate endless false positives, and often reduce security to a box-checking exercise. As a result, sensitive data leaks persist, insider risks go unmanaged and teams are left overwhelmed.

MIND is the first-ever AI-driven data security platform that puts DLP and insider risk management (IRM) programs on autopilot. By combining real-time prevention with proactive visibility, MIND enables organizations to automatically identify, classify and protect sensitive data, without adding complexity or headcount.

What MIND Delivers

1. Data Discovery & Classification

• Multi-layer AI engine that continuously discovers and classifies unstructured data with context and precision
• Complete data inventory across SaaS apps, GenAI tools, endpoints, emails, and on-prem file shares
• Smarter decision-making with automated labeling, context, and risk prioritization

2. Data Detection & Response

• Analyzes billions of events in real time to spot risky activity
• Context-aware detection surfaces true risks while reducing alert noise
• Automated and orchestrated response actions ensure timely remediation

3. Loss Prevention & Mitigation

• Proactively blocks data leaks at rest, in motion, and in use
• Flexible remediation, from user education to automated blocking, based on risk severity
• Integrates with communication platforms like Slack and Teams for collaborative resolution

Why Customers Choose MIND

• Your DLP on Autopilot: Automates classification, detection, and remediation so you can run a modern DLP program with fewer resources.
• AI-Powered Analyst: MIND AI shoulders the load with hundreds of tailored algorithms, practically eliminating false positives.
• Context + Risk = Clarity: Surfaces what really matters, helping teams prioritize and act with confidence.
• Seamless Coverage: Cloud-native, lightweight, and built to secure SaaS, GenAI, endpoints, and hybrid environments.
• Proven Value: Customers like OpenWeb and Noname Security reduced DLP workload by up to 80% while improving accuracy and trust.