Secuvy

Self-Learning Data Classification

Classify all data types seamlessly, prioritize sensitive information, and maintain complete control effortlessly.

Scalable Data Classification for All Data Types

Easily classify all data types—including unstructured, semi-structured, and structured files, documents, emails, and images—whether at rest or in motion. Prioritize sensitive data and scale effortlessly with intuitive tools like classifier builders, inclusion/exclusion ranges, and simultaneous handling of metadata, physical, and document data—empowering you to stay in control.

Secuvy for Enterprise

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Use Cases

Secuvy automates contextual classification of unstructured data as it is created or modified based on the user, source, and application. With Secuvy’s multi-dimensional classification, all sensitive and personal information is identified and tagged. 

Protect Intellectual Property

Add customized tags to set permissions tailored to account type, content, legal purpose, or author—helping you safeguard your intellectual property effectively.

Enhance Data Loss Prevention

Easily integrate data sensitivity levels into your protection platform, enabling smarter alert prioritization and enhancing your data loss prevention strategies.

Ensure Regulatory Compliance

Automate data tagging with self-learning AI to simplify classification, reduce compliance burdens, and meet global privacy regulations with confidence.

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Additional Resources

What inspired the rise of LLMs and why now?  We have witnessed the remarkable rise of generative AI, powered by vast amounts of pre-trained data within large language models (LLMs)....

What every privacy & legal team needs to know. Around 2008, storage prices reached a downward inflection point and have been drastically reducing since. Technological advances, such as the rise of SaaS, ...

With organizations storing years of data in multiple databases, governance of sensitive data is a major cause of concern. Data Sprawls are hard to manage and increase an organization’s risk...