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.
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.
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
Enhance Data Loss Prevention
Regulatory Compliance
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Healthcare Organisations have massive amount of Unstructured data. Learn How Secuvy AI can minimize these risks
As of 2021, we are creating 1.145 trillion MB of data per day. And come 2025, we will have up to 463 exabytes of data at our hands each day....
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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...