List of the Top 13 Data Loss Prevention Software for Microsoft SharePoint in 2026

OpenText CloudAlly Backup offers a unified, cloud-native platform designed to protect SaaS environments from data loss due to user error, ransomware, sync corruption, malicious intent, and service outages. It provides automated or on-demand immutable backups for Microsoft 365, Google Workspace, Salesforce, Box, Dropbox, and other major cloud services, ensuring full recovery across emails, files, metadata, calendars, drives, and collaboration tools. Organizations can store data in CloudAlly’s secure AWS S3 infrastructure across nine global data centers or use their own cloud accounts for maximum control. Unlimited retention, granular recovery tools, and 1-click restore capabilities simplify retrieval of individual items, entire accounts, or full system snapshots. Powerful features such as anomaly detection, keyword search, sandbox seeding, and data comparison strengthen security and productivity for large or distributed teams. CloudAlly’s security architecture includes AES-256 encryption, strict access controls, MFA, HIPAA and GDPR compliance, and ISO certifications, making it one of the most trusted SaaS backup solutions on the market. The MSP-friendly Partner Portal offers centralized oversight, subscription management, reporting, and white-label branding to support scalable service delivery. For SMBs and enterprises alike, CloudAlly delivers cost-effective protection with pay-as-you-go pricing and a zero-tier licensing model. Customers benefit from a proven track record, protecting billions of files monthly and completing thousands of backups per day. Ultimately, CloudAlly ensures that organizations never face permanent data loss—even in the most demanding cloud environments.

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.

Ensure intelligent detection and management of sensitive information across Office 365, OneDrive, SharePoint, Microsoft Teams, and local devices. As the landscape of data evolves, it is essential for data loss prevention (DLP) strategies to remain flexible and responsive. Explore common deployment scenarios, the challenges faced during migration, and best practices, while also considering the benefits of adopting a cloud-native DLP solution. Protect against unauthorized sharing, usage, or transfer of sensitive data across various applications, services, and devices using Microsoft Purview Data Loss Prevention. You can create, manage, and apply DLP policies directly from the Microsoft Purview compliance portal, streamlining the process for users. Moreover, DLP connects effortlessly with information protection functionalities, such as pre-built, custom, or advanced SITs and trainable classifiers, enhancing its effectiveness. Monitor, manage, and investigate alerts through the DLP alerts page, ensuring that potential issues are addressed swiftly. Additionally, these DLP alerts can be expanded to include the Microsoft Defender XDR portal and Microsoft Sentinel, bolstering your security framework. This holistic approach not only safeguards sensitive data but also promotes adherence to organizational regulations and policies, creating a safer digital environment for all users. By prioritizing DLP, organizations can cultivate trust and security in their data management practices.

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.

SecureIdentity DLP offers an all-encompassing array of tools aimed at protecting data across a variety of environments such as on-premises, cloud, and hybrid configurations, thereby significantly reducing risks linked to malware, insider threats, and human mistakes. This solution functions seamlessly across diverse channels and file formats, guaranteeing that sensitive data is effectively restricted within both structured and unstructured storage systems. Our platform not only identifies the user, device, and data being utilized but also enables organizations to monitor activities in real-time, thus clarifying who is accessing specific information at any particular moment. As the integration with other security measures grows stronger, our DLP becomes essential for organizations that seek to embrace new technologies securely. What sets our DLP apart from competitors is its ability to tackle risks from both trusted and untrusted users through cutting-edge algorithms and sophisticated fingerprinting methods. Additionally, SecureIdentity DLP incorporates real-time protocol inspection even for lesser-known protocols, and has the ability to instantly prevent data loss, significantly bolstering overall data protection. This proactive strategy not only upholds the integrity and confidentiality of data but also empowers organizations to navigate a constantly changing threat landscape with confidence and assurance. By prioritizing both detection and prevention, SecureIdentity DLP ensures a robust defense against the evolving nature of data security challenges.

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.

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.

Adaptive Content Security™ (Bonfy ACS™) introduces a revolutionary strategy for safeguarding data, specifically designed for the age of Generative AI, aimed at detecting and preventing leaks of sensitive information, misinformation, misuse of intellectual property, harmful content, and a range of other threats linked to both AI-generated and human-produced content before they can undermine trust or damage reputations. This state-of-the-art solution integrates effortlessly with Microsoft 365 tools like Mail, SharePoint, Entra, Purview, and Copilot, in addition to connecting with widely-used SaaS platforms such as Salesforce, HubSpot, Google Workspace, and Slack, ensuring thorough protection for data whether it is stored, being transmitted, or actively utilized while enforcing real-time governance. Utilizing advanced AI technologies, Bonfy ACS employs a combination of business context and entity-aware analysis, along with adaptive business logic, to reduce false positives and bring attention to significant risk events; it automates processes for contextual data labeling and remediation and includes comprehensive interactive dashboards that provide risk scoring, customizable views, and compliance reporting. By equipping organizations with its powerful features, Bonfy ACS not only boosts data security but also enables businesses to uphold their integrity amid the complexities of today’s digital environment. With a focus on intuitive interfaces and practical insights, it allows companies to react promptly to emerging threats, thereby cultivating an atmosphere of trust and dependability. Ultimately, Bonfy ACS serves as a vital tool for organizations striving to navigate and mitigate the challenges posed by the modern digital landscape.

CyberTide is a cutting-edge data security solution that utilizes artificial intelligence to grant organizations thorough visibility, control, and protection of sensitive information across multiple environments such as cloud services, SaaS applications, collaborative platforms, and generative AI contexts. By amalgamating a variety of security functionalities into a unified system—featuring Data Loss Prevention (DLP), Data Security Posture Management (DSPM), insider risk management, and AI security posture management—it equips teams to swiftly identify, categorize, and secure data in real time. The platform harnesses context-aware artificial intelligence to deeply analyze the nuances and relationships between data points, rather than relying purely on keywords, significantly reducing the occurrence of false positives while ensuring accurate recognition of sensitive materials. It continuously tracks data in both stored and transmitted states, covering communication channels such as emails, chats, files, and even AI-generated inputs, all while imposing strict policies to avert unauthorized access, leakage, or misuse of confidential information, which includes personal, financial, and proprietary data. This proactive methodology not only bolsters security measures but also cultivates a culture of data protection within organizations, encouraging every member to prioritize safeguarding sensitive information in their daily activities. By doing so, CyberTide plays a crucial role in fostering trust and compliance in an increasingly complex digital landscape.

Matters.AI emerges as the trailblazing AI Security Engineer for Data, crafted to autonomously identify, understand, and resolve cases of data misuse prior to any notifications reaching the Security Operations Center (SOC). This groundbreaking solution offers robust protection for essential data, supervising sensitive information as it exists or transitions across different platforms, working much like a human security engineer that grasps context, observes activities, and independently safeguards confidential data in diverse environments such as cloud services, SaaS, endpoints, microservices, and AI pipelines. Leveraging cutting-edge technologies like semantic intelligence, nearest neighbor search, data lineage modeling, and predictive behavior analysis, Matters transcends traditional threat detection by interpreting context, anticipating possible dangers, and taking preemptive actions. Unlike conventional methods reliant on static rules, regex patterns, cumbersome dashboards, and incessant alerts, Matters skillfully interprets subtle data signals, monitors risks in real-time, and functions continuously. By recognizing sensitive information not just by its format but by its importance, Matters utilizes approaches such as fingerprinting and eBPF to oversee data across cloud environments, SaaS applications, endpoints, and beyond, guaranteeing thorough protection and heightened awareness. Ultimately, Matters.AI not only bolsters data security but also revolutionizes the risk management landscape in our increasingly digital world, reshaping how organizations approach data integrity and safety. Furthermore, this innovative solution empowers businesses to maintain compliance and fosters a culture of security awareness among employees.

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.

The increasing use of collaboration tools and meeting platforms from companies such as Microsoft and CISCO is creating a pressing demand for improved security protocols. As businesses broaden their communication avenues and deal with more complex IT systems, the fact that many of these platforms have transitioned to being entirely cloud-based has led to the creation of new access points and possible vulnerabilities. While numerous organizations are actively working to strengthen their email security measures, they often overlook the importance of protecting against malicious files that can enter their networks via services like SharePoint or instant messaging applications. Unfortunately, existing security frameworks frequently fall short and do not offer adequate protection. To tackle these issues effectively, many platforms are now providing a unified cloud-based solution that allows organizations of all sizes to quickly adjust to the changing threat environment and enhance their defenses against new risks. This strategy not only improves security but also promotes a more robust operational framework, leading to increased confidence in the organization's ability to manage potential threats. Moreover, businesses that embrace this comprehensive approach are better equipped to sustain productivity while mitigating vulnerabilities.