List of the Top 20 Sensitive Data Discovery Tools for Microsoft SharePoint in 2026

In today's business landscape, technology plays a vital role, and its reliability is paramount for success. The current era of "work from anywhere" necessitates stringent management and oversight of digital identities to safeguard both your company and the data it utilizes. SailPoint Identity security stands out as a solution that enables businesses to mitigate cyber risks associated with the growing access to cloud-based technologies. This approach guarantees that employees receive precisely the access they require for their roles, neither more nor less. By harnessing unparalleled visibility and intelligence, organizations can streamline and enhance the management of user identities and permissions. With AI-powered insights, you can govern, manage, and automate access in real time, ensuring a responsive and secure operational framework. This strategic capability allows businesses to thrive in a cloud-dependent, threat-laden environment while maintaining efficiency, safety, and scalability. As such, investing in identity security is not merely advisable; it is essential for sustainable growth and resilience in an increasingly digital world.

MinerEye's DataTracker empowers organizations to tackle the challenges associated with information governance and protection. By automatically scanning, indexing, and analyzing all unstructured and dark data within their data repositories, it streamlines the management process. Utilizing proprietary Interpretive AI™, computer vision, and machine learning technologies, the solution efficiently identifies pertinent files hidden among billions of stored data entries. In the event of conflicts, duplicates, or potential violations, it autonomously issues alerts along with actionable recommendations for the next best steps. This innovative approach not only significantly strengthens data protection but also leads to a reduction in operational costs, making it a vital tool for modern organizations. Additionally, the comprehensive nature of the DataTracker ensures that businesses can maintain better oversight of their data assets.

Determine which information is both critical and sensitive to your business, and then adopt measures to protect it across your entire digital environment. Leverage the integrated labeling and data protection capabilities provided by Microsoft 365 applications and services. Employ AI-powered classifiers, accurate data matching, and a variety of additional tools for effective information categorization. Establish and manage policies while utilizing analytics for on-premises file shares, Microsoft 365 services, and various desktop and mobile devices, all from one centralized dashboard. Moreover, ensure a consistent protection experience for popular non-Microsoft applications and services by using a software development kit (SDK). This approach will aid in identifying and securing sensitive data throughout your digital landscape, which includes Microsoft 365, Azure cloud environments, on-premises systems, hybrid solutions, third-party clouds, and SaaS applications. Conduct scans on data at rest and in use to classify information across different platforms, such as on-premises file shares, SharePoint, OneDrive, Exchange, Microsoft Teams, endpoints, and non-Microsoft cloud services, thereby guaranteeing a thorough management of sensitive data. As a result, businesses can substantially improve their data security measures and compliance initiatives, while also fostering a culture of accountability and awareness around data protection among employees.

The RecordPoint Data Trust platform assists organizations in heavily regulated sectors with the management of their data across its entire lifecycle, independent of the systems in use. Our collaboration with these organizations focuses on ensuring that their data remains secure, private, and compliant with governance standards. By doing so, we help them maintain the integrity and accessibility of their information.

Netwrix Data Classification is an advanced data classification platform designed to help organizations identify, classify, and secure sensitive information across complex IT environments. It scans data across on-premises systems and cloud platforms to locate sensitive and business-critical information. The solution uses predefined taxonomies and intelligent analysis methods to classify data based on sensitivity levels and regulatory requirements. It helps organizations detect sensitive information such as personally identifiable information, financial data, and intellectual property. Netwrix Data Classification also identifies redundant, obsolete, and trivial data that can create unnecessary risk and storage overhead. The platform supports automated remediation by securing, relocating, or restricting access to sensitive files. It enhances data security by embedding classification labels directly into files, improving integration with data loss prevention and information rights management tools. The solution enables organizations to meet compliance requirements by identifying and protecting regulated data under standards like GDPR, HIPAA, and PCI DSS. It provides detailed visibility into where data resides and how it is used across the organization. The platform operates without agents, reducing system impact and simplifying deployment. It supports scalable environments and adapts to growing data volumes. Automation features reduce manual effort and improve operational efficiency. By combining discovery, classification, and remediation, it helps organizations maintain strong data governance and reduce the risk of data breaches.

Onna is a dynamic search solution that enables users to connect and perform searches across an expanding array of cloud platforms. It facilitates eDiscovery and assists legal departments in identifying valuable information efficiently. Additionally, Onna empowers users to generate reports, collaborate seamlessly, ensure compliance, and share various documents. Its compatibility with multiple data sources, including DropBox, Confluence, and Gmail, enhances its usability and integration. This versatility makes Onna a crucial tool for organizations looking to streamline their data management processes.

The Mage Sensitive Data Discovery module is designed to reveal concealed data locations within your organization. It enables the detection of hidden information across various data stores, including structured, unstructured, and Big Data environments. Utilizing Natural Language Processing and Artificial Intelligence, this tool is capable of locating data in even the most challenging scenarios. Its patented discovery method guarantees effective identification of sensitive data while keeping false positives to a minimum. You can enhance your data classifications with over 70 existing categories that encompass all widely recognized PII and PHI data types. Furthermore, the module streamlines the discovery process, allowing you to schedule sample scans, complete scans, and incremental scans at your convenience. This versatility ensures that your organization can maintain robust data security measures while efficiently managing data discovery tasks.

Discover, organize, and protect your confidential information with Nightfall™, a solution that uses machine learning to identify crucial business data like customer Personally Identifiable Information (PII) across your SaaS platforms, APIs, and data repositories, facilitating effective oversight and security measures. Its rapid integration capability via APIs allows for effortless data monitoring without the requirement for agents, providing a seamless experience. Nightfall’s advanced machine learning algorithms guarantee accurate categorization of sensitive data and PII, ensuring a thorough approach to data protection. You can establish automated workflows for actions such as quarantining, deleting, and alerting, which significantly improves efficiency and strengthens your organization’s security posture. Nightfall easily integrates with all your SaaS applications and data frameworks, making it a versatile tool. Initiate your journey with Nightfall’s APIs at no cost to achieve effective classification and safeguarding of sensitive data. Through the REST API, you can access structured results from Nightfall’s sophisticated deep learning detectors, which can pinpoint sensitive information like credit card numbers and API keys, all while requiring minimal coding efforts. This seamless integration of data classification into your applications and workflows using Nightfall's REST API lays a strong groundwork for effective data governance. By choosing Nightfall, you not only secure your data but also enhance your organization's compliance capabilities while fostering a culture of data responsibility. This comprehensive approach ensures that sensitive information remains protected in an increasingly regulated environment.

Reduce the risk of data breaches and enhance crucial security protocols, enabling you to concentrate on the growth of your business. Accurately identify sensitive data within all your cloud platforms and infrastructures, providing clarity on its whereabouts and the individuals with access. Exercise strict control over sensitive information across various locations, preventing uploads to unsafe sites and ensuring data is automatically deleted when it is no longer needed. Streamline compliance processes without elevating risk levels. Leverage Metomic's pre-built data classifiers or create your own using our intuitive no-code data classifier tool. Construct tailored data-driven workflows from any application through our Webhooks or Query API. The resilient framework of Metomic allows you to lower security threats without compromising on safety. Take advantage of Metomic's established app integrations to monitor data movements from the very beginning. Explore your security exposure and manage the handling and location of data, guaranteeing a holistic approach to data security. By doing so, you not only protect your information but also foster business advancement with greater assurance. This integrated approach ultimately helps your organization thrive in a secure environment.

Develop a deep and thorough comprehension of your unstructured enterprise data to evaluate risks, mitigate threats and vulnerabilities, and enable better business decisions. Classify, label, and organize unstructured data on an enterprise-wide scale in a systematic manner. Promote quick, accurate, and comprehensive identification of sensitive and high-risk files while delivering extensive insights through artificial intelligence. Maintain continuous visibility into both newly created and existing unstructured data. Enforce policy, compliance, and governance protocols without requiring manual user intervention. Uncover concealed data while methodically categorizing and organizing sensitive information and other data types at scale, facilitating informed decision-making regarding data migration approaches. Additionally, the platform accommodates both simple and intricate file transfers across a wide range of cloud services, network file systems, or legacy ECM platforms at scale, thereby boosting operational efficiency and data management. This comprehensive strategy empowers organizations not only to manage their data effectively but also to leverage it for a competitive edge in their respective markets. Ultimately, by enhancing data governance, organizations can foster a culture of accountability and responsiveness in their data handling processes.

The amount of data being generated is on a steep rise, with estimates showing that over 25 petabytes were produced daily in 2019, and the majority of this information is stored in various locations. A large fraction of this data is held in file shares, network drives, and cloud services "just in case," with more than 70 percent deemed to have no significant business significance. This accumulation of redundant, obsolete, or trivial (ROT) data can lead organizations into legal complications or compliance challenges. Although data is often regarded as a key asset for businesses, it can also bring considerable risks if it is not managed effectively. To tackle these issues, implementing a solid data-at-rest strategy becomes crucial for differentiating between valuable resources and potential liabilities, while aiding organizations in pinpointing their data holdings, access permissions, and security measures. Illuminate conducts extensive scans across various storage solutions, such as on-premise shares, Box, Dropbox, OneDrive, and Microsoft SharePoint and SharePoint Online, which helps organizations gain a comprehensive view of their data environment. This forward-thinking strategy not only minimizes risks but also strengthens the overall data governance framework, paving the way for better decision-making and enhanced compliance. By fostering a culture of data awareness, businesses can further optimize their operations and maintain a competitive edge in an increasingly data-driven world.

Strac offers a holistic approach to managing Personally Identifiable Information (PII) while protecting businesses from potential compliance and security issues. It efficiently identifies and removes sensitive data across various platforms, including email, Slack, Zendesk, Google Drive, OneDrive, and Intercom. Moreover, it safeguards crucial information by ensuring it never reaches servers, providing strong protection for both front-end and back-end operations. By integrating swiftly with your SaaS applications, Strac significantly reduces the risk of data breaches while maintaining adherence to regulations like PCI, SOC 2, HIPAA, GDPR, and CCPA. With its cutting-edge machine learning algorithms, instantaneous alerts, and effortless redaction capabilities, Strac not only saves precious time but also boosts your team's overall efficiency and productivity. This seamless solution empowers businesses to focus on their core activities while confidently managing sensitive data.

Explore how Barracuda Data Inspector effectively examines and resolves issues related to sensitive data and harmful files within your OneDrive for Business and SharePoint environments. Misconfigurations in SharePoint and OneDrive can inadvertently result in the exposure of critical information, such as Social Security numbers, credit card information, and network access credentials, posing significant risks to your organization's security. With Barracuda Data Inspector, you can gain insights into the type of data identified, its sharing status—whether it is shared internally or externally—and its exact location within the system. This tool empowers you to take necessary actions on the data, including unsharing, quarantining, or completely deleting it. Additionally, Data Inspector is proficient at identifying sensitive content in visual formats like images, screenshots, and scanned documents. To further strengthen your data protection strategy, you can create custom data classifiers designed to identify specific types of information, such as employee IDs, student identifiers, project names, and other sensitive data. By implementing this thorough strategy, your organization can maintain a strong defense against potential data breaches while ensuring compliance with data protection regulations. Consequently, the use of Barracuda Data Inspector not only enhances security but also helps foster a culture of data responsibility within the organization.

Discover concealed sensitive data in surprising places like screenshots, logs, messages, tickets, and tables in a matter of minutes. With a simple click, LightBeam enables the generation of in-depth executive or delta reports, equipping you with vital insights into the landscape of your sensitive information. By leveraging LightBeam's unique PII/PHI visualizations, you can effectively automate Data Subject Requests (DSRs), ensuring a thorough approach that aligns with your data architecture. Empower users to manage their own data collection practices, thereby fostering trust and transparency. Maintain continuous oversight of the methods by which sensitive data is acquired, utilized, shared, and safeguarded, implementing appropriate protections across your organization while keeping all stakeholders well-informed. This forward-thinking strategy not only bolsters compliance but also fortifies the overarching framework of data governance, paving the way for improved data management practices in the future. Additionally, embracing this innovative solution can lead to more informed decision-making and a deeper understanding of data flows within your organization.

We utilize Artificial Intelligence to enhance the process of categorizing unstructured data with remarkable efficiency. Our platform provides a detailed perspective on document sensitivity across various areas of your organization. With intuitive visualizations, you can easily identify which departments handle the most sensitive information and track the distribution percentages. This empowers you to make informed decisions to safeguard your most vital assets. By employing AI, you can efficiently organize and label millions of documents. The dashboard offers real-time analytics and metrics, keeping you informed at all times. Our cutting-edge classification technology enables you to precisely ascertain who accesses sensitive documents, the locations of this access, and the management of such data within your organization. By using our user-friendly web platform, you can discover trends in user behavior and pinpoint the sections with the highest access to sensitive data. This unprecedented level of oversight over your data security is readily available. Additionally, our solution is fully customizable to align with your business language and continuously enhances its classification precision through self-learning mechanisms. This adaptability ensures that your organization stays nimble and responsive to the ever-changing landscape of data security requirements, ultimately fostering a more secure environment for all stakeholders.

OneTrust provides a holistic Data & AI Governance solution that unifies insights from various sources, including data, metadata, models, and risk assessments, to develop and execute robust policies for data and artificial intelligence. This platform not only accelerates the approval workflow for data products and AI systems, promoting quicker innovation, but also assures business continuity through continuous monitoring of these systems, which aids in maintaining compliance with regulations and effectively managing risks while reducing application downtime. By centralizing the creation and enforcement of data policies, it makes compliance processes easier for organizations. Additionally, the solution incorporates vital features such as systematic scanning, classification, and tagging of sensitive data, ensuring comprehensive governance across both structured and unstructured data environments. It also promotes responsible data usage by implementing role-based access controls in a solid governance framework, which ultimately improves the integrity and oversight of data management practices. Moreover, this solution provides organizations with the tools needed to adapt to evolving regulations, ensuring that they remain proactive in their governance efforts.

Exterro offers a comprehensive eDiscovery software platform designed to streamline and enhance all phases of e-discovery, from preservation to production. By integrating all components of e-discovery, Exterro facilitates quicker case resolution while significantly lowering costs. The Exterro Software Platform serves as a cohesive solution that brings together all of Exterro’s e-discovery and information governance tools. With over 30 data integrations, users can swiftly gather information from various sources and gain deeper insights into their cases. This focused approach allows for the collection of only pertinent data, thereby minimizing the overall data set. Additionally, Exterro's Privacy Solutions aid teams in efficiently navigating compliance with essential regulations such as the European Union’s General Data Protection Regulation and the California Consumer Privacy Act, among other privacy laws. By using Exterro’s tools, organizations can foster a more effective and compliant data management strategy.

Smart Threat Detection. Accelerated response time. Active Directory is responsible for the majority, approximately 98%, of all security vulnerabilities. Almost all of these vulnerabilities are linked to data breaches within enterprise data storage systems. Our innovative blend of comprehensive auditing, anomaly detection, and real-time alerting, along with instantaneous data discovery and classification, streamlines the process of identifying, prioritizing, and examining threats. Safeguard sensitive information from unauthorized users and compromised accounts. Our cutting-edge technology empowers you to recognize and analyze data threats to your critical information like no other provider can. The integration of data classification with data discovery enhances threat detection, enabling thorough examination of all events, alterations, and actions within their context. You gain full visibility into Active Directory, Group Policy, File Servers, Office 365, NetApp, SharePoint, and cloud storage solutions like Box and Dropbox. Security threats can be identified and addressed ten times faster, allowing Active Directory to facilitate immediate tracking and investigation of threats as they emerge. This comprehensive approach ensures that your organization remains vigilant and protected against evolving security threats.

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.

In the competitive landscape of business leadership, it is essential to maintain steadfast trust in your data, ensuring it is meticulously governed, compliant, and accurate. This involves the seamless integration of all data from various sources and locations, unrestricted by any barriers. A thorough understanding of your data assets is vital for effective oversight. Regular audits should be conducted to evaluate risks, compliance, and quality, thereby supporting your strategic initiatives. Additionally, cultivating a comprehensive inventory of data across diverse sources and types promotes a unified comprehension of your data landscape. Implementing a prompt, economical, and accurate one-time audit of your data resources is crucial. Audits focused on PCI, PII, and PHI can be executed efficiently and thoroughly. This method negates the necessity for any software acquisitions. It is critical to assess and audit the quality and redundancy of data in all enterprise assets, whether they exist in the cloud or on-premises. Compliance with international data privacy regulations must be maintained on a large scale. Continuous efforts to discover, classify, monitor, trace, and audit adherence to privacy standards are imperative. Moreover, managing the dissemination of PII, PCI, and PHI data while automating compliance with Data Subject Access Requests (DSAR) is essential. This all-encompassing approach not only preserves the integrity of your data but also contributes significantly to enhancing overall business efficiency and effectiveness. By implementing these strategies, organizations can build a resilient framework for data governance that adapts to emerging challenges and opportunities in the data landscape.