Secuvy

Self-Learning Data Classification

Multi-Cloud | On-Premises

Scalable Data Classification for All Data Types

Secuvy’s self-learning and contextual data classification is tailored for all data types, including unstructured, semi-structured and structured, files, documents, email, and images, encompassing data at rest and in motion. Scale your classification flexibly by prioritizing sensitive data, using intuitive classifier builders, exclusion/inclusion ranges, and simultaneous handling of metadata, physical, and document data.

Secuvy for Enterprise

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AI-Powered

Self-learning AI automates this process, efficiently categorizing the entirety of your data, enhancing security, and aligning data use with its designated purpose, which ultimately fortifies privacy and governance practices.

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Intent Assigned to Data

Secuvy’s platform offers data mapping by effortlessly connecting data attributes, which creates a thorough inventory and organizational map. 

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

Secuvy adds tags to dictate customized permissions, building context into the account type, content, legal purpose, and/or author. This helps safeguard your IP.

Enhance Data Loss Prevention

Integrate Secuvy into your data loss or information protection platform. You can then incorporate data sensitivity levels into alert prioritization.

Regulatory Compliance

Secuvy self-learning AI automates tagging to classify data and ensure compliance with all global, horizontal, and vertical privacy laws and regulations.

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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...