MIND · STRESS-FREE DLP

MIND. AI-era data protection. Operated.

Cloud, SaaS, and GenAI platforms became the growth center for unstructured data — accelerating at 45% CAGR. Sensitive data spreads fast: mistagged, over-permissioned, exposed via AI tools. ESG reports 94% of organizations run multiple DLP tools, producing fragmented operations and split visibility. MIND is the first platform to unify the entire data-protection lifecycle for unstructured data — discovery, detection, and prevention — with AI-driven classification that actually works. QMasters deploys MIND as part of the MCSS DLP layer.

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Authorized Partner

PARTNER TIER

MODULES OPERATED

KEY STRENGTHS

Why we lead with MIND.

Discover Everywhere

SaaS, cloud storage, on-prem shares, endpoints — find unstructured sensitive data in every location.

AI Classification

LLMs, ML, NLP, and dozens of small language models reduce false positives dramatically.

GenAI Data Protection

Control what data flows into ChatGPT, Copilot, Gemini, Claude, and other GenAI tools.

Real-Time Detection

Behavioral correlation surfaces real risk — without alert noise.

Intent-Based Policies

Define rules in natural language that evolve with new data and behaviors.

Stress-Free Deployment

OpenWeb went live in ~30 minutes; findings within 24 hours; 80% resource savings.

MODULES & COMPONENTS

Every module. Operated end-to-end.

MIND DLP Platform.

Unified data-protection lifecycle for unstructured data — discovery, detection, and prevention powered by multi-layered AI classification combining LLMs, ML, NLP, and dozens of specialized small language models.

Discover sensitive unstructured data across SaaS, cloud, on-prem shares, endpoints
AI classification engine — LLMs, ML, NLP, small language models for low false positives
GenAI data protection — control inputs to ChatGPT, Copilot, Gemini, Claude
Real-time detection with behavioral and content-sensitivity correlation
Intent-based policies in natural language
Cross-channel coverage — SaaS apps, GenAI, cloud storage, endpoints, email, browsers

— HOW QMASTERS OPERATES THIS

MIND alerts feed the same SOC monitoring endpoints, identity, and SIEM. An isolated DLP alert is a policy violation — a DLP alert correlated with an identity event and an endpoint detection is a breach in progress. MCSS treats them as a single picture.

Download datasheet (MIND Customer Story — OpenWeb)

SEE IT IN PRODUCTION

See MIND in action.

30 minutes. A SOC engineer. A live walk-through of how we run MIND for our customers — alerts, automations, and the operator-grade tuning behind them.

See MIND in action

KEY ADVANTAGES

Outcomes. Not feature lists.

AI-driven classification — fewer false positives than legacy regex-based DLP
GenAI data protection built in — not bolted on
Stress-free deployment — initial findings within 24 hours
OpenWeb case study — 80% resource savings vs prior DLP
QMasters deploys MIND alongside Teramind and Ray Security for full DLP coverage

WHY QMASTERS

Why customers pick us. To operate MIND.

Authorized Partner

Tier

240+

Customers

24/7

SOC integration

DATASHEETS & RESOURCES

Official documentation. From the vendor.

OpenWeb Customer Story

How OpenWeb saved 80% of DLP resources with MIND.

Download PDF →

WHERE THIS PARTNER POWERS A SOLUTION

Operated across our solution categories.

The Solutions pages where MIND is part of how QMasters delivers the category.

SOLUTIONS

Data Loss Prevention →

MIND operated alongside Teramind and Ray Security as the AI-classification layer of MCSS DLP.

FAQ

Questions. Answered straight.

Traditional DLP uses regex pattern matching, producing massive false positives. MIND uses multi-layered AI classification (LLMs, ML, small language models, NLP) that understands context and content — fewer false positives, better detection, less analyst time wasted.

READY WHEN YOU ARE

Ready for Real Detection & Response?

Book a 30-minute working session with a SOC engineer. Bring your alerts.