Accurate data classification, automatically

Cut through the noise with AI-driven data classification that’s precise, automatic and built to keep your business moving safely and securely.

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Most tools miss the mark on sensitive data classification

Inaccurate or inadequate data classification undermines security, increases false positives, buries real threats, wastes time and disrupts compliance. Without precision, DLP becomes reactive and ineffective, unable to protect sensitive data.

Security teams lose trust, alerts overwhelm workflows and risk multiplies.

Manual tagging that relies on end-users is inconsistent and risky

Pattern matching is not effective at scale and misses key context

Unstructured data lives everywhere and is difficult to classify

Each company has multiple unique sensitive data types

AI-powered data classification, built for scale

Multi-layer classification engine

MIND’s multi-layer classification engine combines tailored algorithms, contextual signals and metadata analysis to accurately classify unstructured data across endpoints, SaaS, on-premise, cloud and GenAI environments.

Proprietary language models

MIND AI is a custom-built language model that leverages the power of AI to focus on data classification. Built with the most extensive set of training data, it can confidently recognize sensitive data at the element level.

Effective techniques

MIND will use all available methods to classify sensitive data; pattern matching, vector analysis, statistical analysis or custom trained language models. Whatever technique works best will be used to provide the most accurate classification.

Why this matters

Accurate data classification is essential for enabling effective DLP. Without it, security teams face false positives, missed threats and wasted effort. Manual tagging is unreliable. Legacy solutions can't scale. And endpoint data remains invisible.

MIND solves these challenges with precision. Our multi-layer classification engine uses AI to automatically discover, identify, categorize and label sensitive, unstructured data across SaaS platforms, cloud environments, on-premise file servers, endpoints and GenAI apps. By integrating metadata, contextual signals and proprietary language models, MIND ensures high-fidelity classification that’s consistent and scalable.

MIND helps you:

Minimize false positives with accurate classification

Classify sensitive unstructured data across SaaS, endpoints and cloud

Discover and label data at scale automatically

Enforce context-aware data security policies in real time

Achieve full data visibility and regulatory compliance

It’s time to stop chasing noise and start securing what matters with intelligent, context-aware data classification.

See MIND in action