List of the Top 11 On-Prem Data Classification Software in 2025

This add-on is compatible with Microsoft Office 2010 and later versions, enabling users to incorporate classification tags at the beginning of emails and within the header or footer areas of documents. Additionally, it provides the capability to encrypt attachments for enhanced security. ClassifyIt is designed to be tailored to meet the specific needs of its users, aiding in the classification of all types of Microsoft Outlook emails, Word documents, Excel spreadsheets, and PowerPoint presentations. This tool plays a crucial role in maintaining compliance with policies and serves as an essential component for safeguarding information. Its user-friendly interface ensures ease of use, and it is offered at a highly competitive price point. Examples of classification labels include Unclassified, Restricted, Confidential, and SECRET, illustrating the versatility of the classification system it supports. By streamlining the classification process, ClassifyIt helps organizations effectively manage sensitive information.

Microsoft Purview acts as an all-encompassing platform for data governance, enabling efficient management and supervision of data across various environments, including on-premises, multicloud, and software-as-a-service (SaaS). Its features encompass automated data discovery, classification of sensitive data, and comprehensive tracking of data lineage, allowing for the creation of a detailed and up-to-date portrayal of the data ecosystem. This functionality empowers users to quickly and easily access trustworthy and meaningful data. The platform also automates the identification of data lineage and classification from multiple sources, providing a unified view of data assets and their relationships, which is crucial for improved governance. Users can utilize semantic search to uncover data using both business and technical terms, gaining insights into the pathways and storage of sensitive information within a hybrid data landscape. By employing the Purview Data Map, organizations can establish a solid foundation for effective data governance and utilization while automating and managing metadata from various origins. Furthermore, it offers the capability to classify data using both established and custom classifiers, in addition to Microsoft Information Protection sensitivity labels, ensuring a flexible and robust data governance framework. This array of features not only enhances oversight but also streamlines compliance processes, making Microsoft Purview an indispensable resource for organizations aiming to refine their data management approaches. Ultimately, its comprehensive nature makes it a critical asset in navigating the complexities of modern data governance.

Dasera is a solution for Data Security Posture Management (DSPM) that delivers extensive security and governance for both structured and unstructured data in cloud and on-premises settings. It differentiates itself by monitoring data in real time, thereby providing ongoing visibility and automated solutions to avert data breaches throughout every stage of the data lifecycle. Dasera also supports ongoing risk detection and management, ensuring smooth integration and adherence to regulatory requirements. By possessing a thorough understanding of data infrastructure, user attributes, and usage patterns, Dasera empowers organizations to adopt a secure, data-centric growth approach, effectively reducing risks while enhancing value in today's digital landscape. Furthermore, its proactive measures help organizations stay ahead of potential threats, fostering a more resilient data environment.

Data Loss Prevention (DLP) can be defined as a comprehensive system that systematically applies data security protocols while classifying information in real time, whether it's being transferred or stored. Data in motion encompasses information that is transmitted across the internet, to cloud services, devices, or printers. Our solution is driven by a technology leader who ensures robust protection. The DLP security engine is capable of identifying both structured and unstructured data at a binary level, safeguarding it across on-premises locations, remote sites, and cloud environments. Notably, GTB stands out as the only DLP tool that offers protection for data even when disconnected from the network. Through our technology, you can locate, categorize, index, redact, and remediate sensitive information, including personally identifiable information (PII), protected health information (PHI), and various regulatory data such as FERC/NERC and SOX. Our innovative, patent-pending technology is designed to prevent sensitive data from being uploaded to unauthorized or private cloud services, while also enabling users to track "sync files" effortlessly. This allows organizations to maintain compliance and enhance their overall data security posture.

Blindata offers a robust program for Data Governance that encompasses a wide range of functions. Its components, including Data Catalog, Data Lineage, and Business Glossary, collectively provide a thorough and cohesive perspective on your data assets. Through Data Classification, data is endowed with semantic significance, while the inclusion of Data Quality Modules, Issue Management, and Data Stewardship functions enhances the dependability and trustworthiness of the data. Additionally, compliance with privacy regulations is supported by features such as a registry of processing activities, centralized management of privacy notices, and a consent registry that incorporates Blockchain technology. The Blindata Agent can seamlessly connect to various data sources to gather metadata, which includes details like data structures, quality metrics, and reverse lineage analysis. With a modular architecture entirely based on APIs, Blindata ensures systematic integration with critical business systems, which may include DBMS, Active Directory, e-commerce platforms, and data infrastructures. Furthermore, Blindata is available for purchase either as a Software as a Service (SaaS) or as an on-premise installation, and it can also be acquired through the AWS Marketplace, making it a versatile option for businesses of all sizes. This flexibility allows organizations to choose the deployment method that best fits their operational needs and technological landscape.

MIND is an innovative data security platform that revolutionizes the approach to data loss prevention (DLP) and insider risk management (IRM) by automating processes that allow organizations to quickly identify, detect, and prevent data breaches at unprecedented speeds. This solution actively searches for sensitive data within various file types across multiple IT environments, effectively covering scenarios where data is stored, transmitted, or currently accessed. By identifying and addressing vulnerabilities in sensitive information across a wide array of IT ecosystems, including SaaS platforms, AI applications, endpoints, on-premises file systems, and email communications, MIND guarantees extensive protection. The platform consistently monitors and analyzes billions of data security incidents in real time, delivering enriched context surrounding each occurrence while autonomously executing necessary remediation actions. Additionally, MIND has the capability to instantly block sensitive data from being exposed or to collaborate with users to reduce risks, all while reinforcing organizational policies. Its ability to seamlessly integrate with various data sources within IT infrastructures allows MIND to uncover vulnerabilities in sensitive data, thereby strengthening the overall security framework. Not only does MIND safeguard critical information, but it also promotes a culture of compliance and heightened awareness among users, ultimately leading to a more secure organizational environment. This dual focus on protection and education ensures that users are not only shielded from risks but are also equipped to recognize and respond to potential threats.

NetApp BlueXP acts as an integrated control hub that simplifies the oversight of storage and data services across various hybrid multicloud environments. By leveraging cutting-edge AIOps, a broad array of data services, and a consolidated system for managing licenses and subscriptions, it delivers the necessary agility, simplicity, and security vital for navigating the complexities of modern IT landscapes. Organizations that implement BlueXP can efficiently build, protect, and manage their data resources, ensuring consistent operations regardless of whether they are on-premises or distributed among multiple cloud infrastructures. This holistic approach not only enables seamless data migration and robust protection against data loss and cyber threats but also equips businesses with insightful analytics that boost performance and reduce costs. Furthermore, BlueXP fosters a proactive environment where companies can swiftly respond to evolving needs while retaining stringent control over their data ecosystems, ultimately enhancing their operational resilience.

Addressing the requirements of emerging global data privacy laws is essential for maintaining strong cybersecurity, and the first step in creating a successful data protection strategy is to implement data classification. The Titus Classification suite provides essential tools that deliver clear instructions to both staff and regulatory bodies on which data needs protection and the correct handling procedures. This suite allows for the management and safeguarding of data through the industry's most flexible and customizable classification metadata schema. By providing context to your data, it helps both individuals and automated systems to understand how the information should be treated. It serves as a mechanism for classification and policy enforcement, ensuring that each Microsoft Office document is classified correctly before it can be saved, printed, or sent via email. Furthermore, every outgoing email must be assigned a classification and protective marking prior to being sent out. With just a few clicks in Microsoft Windows Explorer, users can classify and secure any file type, greatly improving the security posture of your organization. This efficient approach not only aids in compliance but also promotes a culture of data awareness and accountability among all employees, ultimately contributing to a more secure organizational environment. By empowering staff to take an active role in data protection, organizations can foster greater diligence in handling sensitive information.

Leveraging AI-driven classification can significantly improve your cross-channel Data Loss Prevention (DLP) efforts. The Proofpoint Intelligent Classification & Protection system employs artificial intelligence to effectively categorize your essential business information, thereby streamlining your organization's DLP initiatives by suggesting actions based on identified risks. Our solution for Intelligent Classification and Protection allows you to gain insights into unstructured data more efficiently than conventional methods. It utilizes a pre-trained AI model to classify files in both cloud and on-premises storage systems. Furthermore, our dual-layer classification approach provides critical business context and confidentiality levels, enabling you to safeguard your data more effectively in the increasingly hybrid landscape. This innovative method not only enhances security but also promotes better compliance within your organization.

ZinkML serves as an open-source platform for data science that eliminates the need for coding, enabling organizations to utilize their data more effectively. Its user-friendly and visual interface is tailored to ensure that individuals without extensive programming knowledge can engage with data science, thus broadening accessibility. The platform simplifies the entire data science workflow, covering everything from data ingestion to model building, deployment, and monitoring. Users can easily create intricate pipelines by dragging and dropping components, visualize their data, or develop predictive models—all without any coding skills. With features like automated model selection, feature engineering, and hyperparameter optimization, ZinkML significantly speeds up the model development process. Furthermore, ZinkML fosters collaborative efforts by providing tools that enable teams to work together seamlessly on their data science initiatives. By making data science more accessible, ZinkML empowers organizations to derive greater value from their data and enhance their decision-making capabilities, ultimately leading to improved business outcomes. This shift towards democratized data science is crucial in a world where data-driven decisions are becoming increasingly vital.

Adaptive is a highly advanced data security solution designed to protect sensitive information from potential exposure by both humans and automated systems. It features a secure control plane that facilitates data protection and access without the need for complex network reconfiguration, functioning seamlessly in both cloud and on-premises environments. This innovative platform enables organizations to provide privileged access to data resources without requiring the sharing of actual credentials, significantly enhancing their overall security posture. Additionally, it supports just-in-time access to a diverse range of data sources, including databases, cloud infrastructure, data warehouses, and web services, ensuring that users can efficiently retrieve necessary information. Furthermore, Adaptive simplifies interactions involving non-human data by integrating third-party tools or ETL pipelines through a unified interface, which safeguards the confidentiality of data source credentials. To mitigate the risk of data exposure, the platform employs data masking and tokenization for users lacking privileged access, all while preserving existing access workflows. It also guarantees comprehensive auditing through identity-based audit trails that cover all resources, enabling organizations to effectively monitor and track access activities. By implementing these features, Adaptive not only fortifies data security but also enhances management capabilities within the increasingly complex landscape of digital ecosystems, ultimately fostering a more secure environment for data handling.