Top Microsoft Purview Alternatives

DataHub stands out as a dynamic open-source metadata platform designed to improve data discovery, observability, and governance across diverse data landscapes. It allows organizations to quickly locate dependable data while delivering tailored experiences for users, all while maintaining seamless operations through accurate lineage tracking at both cross-platform and column-specific levels. By presenting a comprehensive perspective of business, operational, and technical contexts, DataHub builds confidence in your data repository. The platform includes automated assessments of data quality and employs AI-driven anomaly detection to notify teams about potential issues, thereby streamlining incident management. With extensive lineage details, documentation, and ownership information, DataHub facilitates efficient problem resolution. Moreover, it enhances governance processes by classifying dynamic assets, which significantly minimizes manual workload thanks to GenAI documentation, AI-based classification, and intelligent propagation methods. DataHub's adaptable architecture supports over 70 native integrations, positioning it as a powerful solution for organizations aiming to refine their data ecosystems. Ultimately, its multifaceted capabilities make it an indispensable resource for any organization aspiring to elevate their data management practices while fostering greater collaboration among teams.

DataGalaxy stands at the forefront of data governance and value intelligence, helping global organizations transform how they manage, align, and activate their data strategies. Designed for business leaders, data stewards, and analysts alike, it delivers a holistic, cloud-based environment that unifies data cataloging, governance, AI adoption, and collaboration. Through its Strategy Cockpit, companies can capture ideas, evaluate opportunities, and translate them into measurable, value-driven data initiatives that align with organizational goals. Its Value Tracking Center links data actions to business impact, enabling leaders to monitor the ROI of every data investment. Meanwhile, the Automated Data Catalog and AI Co-Pilot simplify metadata management, automate lineage mapping, and surface insights across complex systems. Supporting over 70 integrations, including modern ecosystems like Snowflake, Databricks, Amazon Redshift, and Power BI, DataGalaxy ensures interoperability across hybrid cloud infrastructures. Enterprise-grade security underpins the platform, with SOC 2 certification, policy-driven governance, and compliance with major regulations like GDPR, HIPAA, and Solvency II. Its Trust Center provides full transparency into privacy and operational security, giving enterprises confidence at scale. In an era where data defines competitiveness, DataGalaxy empowers enterprises to govern what matters—transforming governance into a driver of intelligence, trust, and measurable business value.

The Alation Agentic Data Intelligence Platform brings intelligence, automation, and trust to enterprise data and AI initiatives. Built to unify every aspect of data management, it combines cataloging, governance, search, discovery, lineage, and analytics within a single platform. Its AI-driven agents, including the Documentation Agent, Data Quality Agent, and Data Products Builder, act as intelligent assistants that automate repetitive tasks and scale best practices across organizations. Powered by the Active Metadata Graph and workflow automation, Alation ensures that data is continuously enriched, accurate, and ready for analytics and AI. It creates a marketplace of trusted data products, enabling teams to quickly access, share, and reuse reliable assets. With deep integration capabilities and 120+ pre-built connectors across leading cloud, analytics, and BI platforms, Alation fits seamlessly into modern data ecosystems. Its governance framework helps organizations build trusted AI by ensuring transparency, compliance, and ethical use of data. Businesses benefit from improved efficiency, reduced risk, and the ability to make strategic decisions with confidence. Used by 40% of the Fortune 100, Alation has become a critical enabler of strong data cultures and scalable AI adoption. By combining human expertise with AI-powered automation, it transforms data into a foundation for innovation and growth.

Knowledge Catalog is an advanced AI-powered data catalog solution from Google Cloud that enables organizations to manage, govern, and understand their entire data landscape. It automatically extracts semantic meaning from both structured and unstructured data to create a dynamic context graph that connects and enriches data assets. This context graph helps AI systems and users access accurate, relevant information, reducing the risk of hallucinations in AI-driven applications. The platform provides robust tools for data discovery, allowing users to search, explore, and analyze data resources efficiently. It includes features such as data lineage tracking, data profiling, and quality measurement to ensure data accuracy and reliability. Users can create and manage business glossaries, capture metadata, and integrate custom data sources to enhance data organization. Knowledge Catalog supports both traditional analytics workflows and modern AI-driven use cases, including autonomous agents. It integrates seamlessly with Google Cloud services, enabling scalable and flexible deployments. The platform also offers advanced search and filtering capabilities for faster data access. By centralizing governance and context, it simplifies data management for enterprises. It helps enforce policies and maintain compliance through structured access controls. The system also provides insights into data relationships, improving decision-making. Overall, Knowledge Catalog transforms enterprise data into a well-organized, trusted foundation for analytics and AI innovation.

Ground Labs' Enterprise Recon enables organizations to locate and rectify sensitive information across a diverse array of both structured and unstructured data sources. This capability extends to data residing on internal servers, personal devices of employees, and cloud storage systems. By utilizing Enterprise Recon, businesses worldwide can identify all their data assets while ensuring compliance with regulations such as GDPR, PCI DSS, CCPA, HIPAA, and Australian Privacy laws. The tool is powered by GLASS™, a proprietary technology from Ground Labs, which facilitates rapid and precise data discovery across multiple platforms. Enterprise Recon accommodates sensitive data identification on various operating systems, including Windows, MacOS, Linux, FreeBSD, and Solaris, as well as HP-UX and IBM AIX. The solution offers both agent-based and non-agent options for deployment, providing flexibility for organizations, and includes remote capabilities to manage virtually any network data efficiently. With its comprehensive features, Enterprise Recon stands as a robust solution for organizations seeking to enhance their data security and regulatory adherence.

DLP provides thorough oversight and management of your information regardless of its location or method of transmission, effectively preventing insiders from pilfering sensitive data such as customer information and product details. It consistently monitors for policy violations and questionable user behavior at multiple control points. Through the use of real-time blocking, quarantining, and alerts, it deters end users from leaking information. In cases of substantial data loss, it facilitates swift and effective responses using automated incident remediation tools and one-click SmartResponses. This system also allows for policy adjustments to find the right balance between security and user efficiency. Moreover, it improves visibility and control over data both in transit and at rest within cloud applications, helping to uncover Shadow Data. You can leverage your existing DLP policies and workflows to implement highly specific rules and business logic across various cloud platforms like Office 365, G Suite, Box, and Dropbox. By adopting these measures, organizations can cultivate a secure environment that supports both regulatory compliance and innovative growth. Ultimately, this comprehensive approach not only safeguards sensitive information but also empowers organizations to thrive in a digital landscape.

Maintaining vigilance by your side, advanced security analytics are now available for your whole organization. With a modernized approach to SIEM, you can identify and neutralize threats before they inflict any harm. Microsoft Sentinel provides an expansive overview of your entire enterprise landscape. Leverage the power of the cloud and extensive intelligence derived from years of Microsoft’s security knowledge to enhance your defenses. The integration of artificial intelligence (AI) will expedite your threat detection and response processes, making them more effective. This innovation significantly lowers both the time and expenses associated with establishing and managing security infrastructure. You can dynamically adjust your security requirements to align with your needs while simultaneously cutting IT expenses. Gather data at a vast scale across all users, devices, and applications, whether on-site or across various cloud environments. By utilizing Microsoft's unmatched threat intelligence and analytical capabilities, you'll be able to pinpoint known threats and minimize false alarms. With decades of experience in cybersecurity, Microsoft equips you to investigate threats and monitor suspicious activities on a wide scale, ensuring robust protection for your organization. This comprehensive approach empowers you to stay ahead of potential risks while simplifying your security management.

In the current environment driven by data, the search for relevant information often takes more time than the analysis itself. Azure Data Catalog acts as a versatile metadata repository tailored for organizations, streamlining the identification of data resources. This fully-managed platform accommodates a diverse array of users—including analysts, data scientists, and developers—allowing them to register, improve, locate, understand, and leverage various data sources. You can utilize your preferred tools, as Data Catalog aids in the discovery and use of the data you need. Your data remains securely stored in your chosen locations, while Data Catalog assists in effortless access and management through a user-friendly interface. By encouraging broad usage and promoting ongoing value creation within the data ecosystem, Data Catalog enables users to exchange insights, advice, and best practices, fostering a collaborative environment where everyone can gain advantages. This solution not only democratizes the discovery of data assets but also ensures that all users can participate in the process meaningfully. Such a strategy enhances cooperation and contributes to a richer overall data landscape within organizations, ultimately driving innovation and informed decision-making.

Smarsh is an AI-first, cloud-native communications intelligence platform designed for highly regulated environments. It captures, preserves, and analyzes communications data across voice, video, email, mobile, chat, and digital collaboration tools. The platform supports compliance with regulations such as SEC, FINRA, MiFID II, and FCA. AI-driven surveillance proactively detects risks like insider trading, market manipulation, and behavioral misconduct. Centralized archiving preserves data in native formats to ensure legal defensibility. Advanced search and analytics surface insights buried within billions of messages. Smarsh accelerates eDiscovery by providing fast, targeted access to communications data. Its open API architecture enables seamless integration across compliance, legal, and IT workflows. Hyperscalable cloud infrastructure supports enterprise-grade deployments with ease. Multi-layered security ensures encryption both in transit and at rest. The platform serves enterprises, financial firms, and public sector organizations. Smarsh empowers organizations to reduce risk, maintain compliance, and unlock value from their communications data.

With a focus on data visibility and control regarding security, compliance, privacy, and governance, BigID offers a comprehensive platform that features a robust data discovery system which effectively combines data classification and cataloging to identify personal, sensitive, and high-value data. Additionally, it provides a selection of modular applications designed to address specific challenges in privacy, security, and governance. Users can streamline the process through automated scans, discovery, classification, and workflows, enabling them to locate personally identifiable information (PII), sensitive data, and critical information within both unstructured and structured data environments, whether on-premises or in the cloud. By employing cutting-edge machine learning and data intelligence, BigID empowers organizations to enhance their management and protection of customer and sensitive data, ensuring compliance with data privacy regulations while offering exceptional coverage across all data repositories. This not only simplifies data management but also strengthens overall data governance strategies for enterprises navigating complex regulatory landscapes.

Introducing an innovative platform crafted to streamline the migration and management of your data while prioritizing security within your cloud infrastructure. This trusted solution is utilized by numerous organizations around the world and proficiently oversees the secure transfer of digital assets to the cloud, aligning with the evolving demands of regulatory, legal, and business intelligence standards. It enables effortless migration of data, including legacy journals and archives, all conducted rapidly, completely, and securely. With over 2000 organizations globally reaping the benefits of our services, we enable them to migrate, classify, secure, analyze, archive, retain, dispose of, search, and effectively manage their data in the cloud. Users can choose from a wide selection of global template policies or develop customized policies for retention, disposition, and security tailored to their needs. Archive360 partners with some of the most rigorously regulated organizations worldwide, such as government agencies, pharmaceutical companies, healthcare providers, financial institutions, and energy sector enterprises, ensuring comprehensive compliance and effective data management for all clients. The platform not only emphasizes security but also significantly improves operational efficiency for every organization it supports, ultimately leading to enhanced productivity and streamlined processes. As organizations navigate the complexities of data management in a digital age, this platform stands out as a vital tool for ensuring both compliance and efficiency.

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.

Discover the remarkable capabilities of Global IDs, which deliver a wide array of Enterprise Data Solutions encompassing data governance, compliance, cloud migration, rationalization, privacy, analytics, and much more. The Global IDs EDA Platform features crucial tools such as automated discovery and profiling, data classification, data lineage, and data quality, all designed to guarantee that data remains transparent, reliable, and easily understood across the entire ecosystem. Furthermore, the architecture of the Global IDs EDA platform is constructed for effortless integration, allowing users to access its extensive functionalities via APIs. This platform efficiently automates data management processes for organizations of all sizes and in various data environments. By leveraging Global IDs EDA, companies can not only improve their data management strategies but also foster enhanced decision-making capabilities, ultimately leading to more informed business outcomes. This holistic approach to data management positions businesses for success in an increasingly data-driven world.

Critical data lives in too many places—and no one has a complete picture of what exists, who owns it, or how it’s used. That lack of visibility slows decision-making, increases compliance exposure, and makes it harder to trust analytics and AI. Rocket® Data Intelligence™ is a metadata management, data catalog, and data lineage solution for hybrid enterprises. It gives business and IT leaders a clear, governed view of what data exists, where it lives (mainframe, distributed, cloud), how it moves and transforms, and who owns it—so teams can innovate faster with less risk. Key capabilities: • Automated discovery and cataloging, including identification of sensitive data • End-to-end lineage and impact analysis to understand downstream effects before changes • Business context (glossary, tags, ownership) to standardize definitions and improve KPI trust Results: stronger governance and audit readiness, fewer surprises during modernization, and higher confidence in analytics and AI initiatives.

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.

SAS Viya is a comprehensive cloud-native data and AI platform that helps organizations unify analytics, artificial intelligence, data management, and governance within a single connected environment. The platform is built to support the complete data-to-decision lifecycle, allowing businesses to access, manage, analyze, deploy, and govern data-driven insights at enterprise scale. SAS Viya enables organizations to connect to data from multiple sources while maintaining transparency, auditability, lineage tracking, and compliance throughout AI and analytics workflows. Businesses can build, validate, and operationalize machine learning and AI models faster while ensuring fairness, explainability, and responsible governance practices. The platform also includes the SAS Viya MCP Server, which allows AI agents and copilots to securely leverage SAS capabilities for automated and intelligent decision-making. SAS Viya supports flexible deployment options across cloud, hybrid, and on-premises environments, giving organizations greater control over infrastructure and security requirements. The platform is designed to simplify complex workflows and improve collaboration between data scientists, analysts, developers, and business teams. SAS Viya accelerates productivity by streamlining model training, analytics deployment, and operational decision processes within one scalable ecosystem. Organizations across banking, healthcare, life sciences, government, and manufacturing use SAS Viya for applications such as fraud detection, forecasting, customer intelligence, inventory optimization, and clinical trial analytics. The platform also delivers advanced governance capabilities that help businesses maintain policy enforcement, legal defensibility, and regulatory compliance across the AI lifecycle. With built-in automation, extensive analytics functionality, and enterprise-grade governance, SAS Viya helps organizations turn data into trusted and actionable business outcomes.

Securiti has established itself as the leader in the Data Command Center, a comprehensive platform designed to facilitate the secure utilization of data and Generative AI. This innovative solution offers cohesive data intelligence, management, and orchestration across diverse hybrid multicloud settings. Major international corporations depend on Securiti's Data Command Center to ensure data security, privacy, governance, and adherence to compliance standards. The company has garnered accolades such as being named a Gartner "Cool Vendor in Data Security," recognized as a Forrester "Privacy Management Wave Leader," and awarded by RSA as the "Most Innovative Startup." With these accomplishments, Securiti continues to set the standard in the data management landscape.

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 Databricks Data Intelligence Platform empowers every individual within your organization to effectively utilize data and artificial intelligence. Built on a lakehouse architecture, it creates a unified and transparent foundation for comprehensive data management and governance, further enhanced by a Data Intelligence Engine that identifies the unique attributes of your data. Organizations that thrive across various industries will be those that effectively harness the potential of data and AI. Spanning a wide range of functions from ETL processes to data warehousing and generative AI, Databricks simplifies and accelerates the achievement of your data and AI aspirations. By integrating generative AI with the synergistic benefits of a lakehouse, Databricks energizes a Data Intelligence Engine that understands the specific semantics of your data. This capability allows the platform to automatically optimize performance and manage infrastructure in a way that is customized to the requirements of your organization. Moreover, the Data Intelligence Engine is designed to recognize the unique terminology of your business, making the search and exploration of new data as easy as asking a question to a peer, thereby enhancing collaboration and efficiency. This progressive approach not only reshapes how organizations engage with their data but also cultivates a culture of informed decision-making and deeper insights, ultimately leading to sustained competitive advantages.

Tokern delivers an open-source toolkit specifically crafted for managing data governance, focusing on databases and data lakes. This intuitive suite aids in gathering, structuring, and analyzing metadata from data lakes, enabling users to perform swift tasks through a command-line interface or operate it as a service for continuous metadata retrieval. Individuals can investigate elements such as data lineage, access controls, and personally identifiable information (PII) datasets, employing reporting dashboards or Jupyter notebooks for in-depth programmatic analysis. As a holistic solution, Tokern strives to boost the return on investment for your data, guarantee adherence to regulations such as HIPAA, CCPA, and GDPR, and protect sensitive data from potential insider threats efficiently. It centralizes the management of metadata related to users, datasets, and jobs, thereby enhancing a wide array of data governance capabilities. The platform’s functionality includes tracking Column Level Data Lineage for major systems like Snowflake, AWS Redshift, and BigQuery, enabling users to construct lineage from query histories or ETL scripts. Moreover, users can explore lineage through interactive visualizations or programmatically via APIs or SDKs, providing a flexible method for understanding data movement. Overall, Tokern empowers organizations to uphold strong data governance while adeptly maneuvering through intricate regulatory environments, ensuring that all necessary compliance measures are effectively implemented. By leveraging Tokern, companies can significantly improve their operational efficiency and data management practices.

Help organizations strengthen their data protection measures by leveraging techniques such as data discovery, file analysis, and classification. Protect your entire data landscape with the robust features of SISA Radar, which specializes in data discovery and classification. Systematically organize and prioritize sensitive information based on its significance and the needs of the organization. Gain contextual insights that are essential for the effective management of sensitive data. Ensure that you have complete visibility into a variety of sensitive data formats, including structured, semi-structured, and unstructured information. Protect data from unauthorized access while remaining compliant with regulations like PCI DSS, GDPR, CCPA, POPIA, PDPA, and APRA. Create and customize a data classification framework tailored to meet your specific organizational requirements. Implement a scalable and resilient approach to advanced data security for the future. Rely on a single platform designed to efficiently detect, identify, and contextualize sensitive information. By utilizing a proprietary data discovery algorithm, experience enhanced detection speed and a noticeable decrease in false positives, which will significantly bolster your data protection initiatives. This all-encompassing strategy will not only secure your data but also ensure that your organization is equipped to tackle the ever-evolving landscape of data security threats. Ultimately, it lays the groundwork for a proactive stance against potential vulnerabilities that may arise.

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.

Siberson Veriket Data Classification represents an advanced AI-powered solution that helps organizations efficiently categorize, label, and protect sensitive information across multiple platforms, such as Microsoft 365, Google Workspace, Zimbra, endpoints, emails, file servers, and various business documents. By leveraging user feedback, policy-based strategies, and artificial intelligence, it significantly boosts the accuracy of data labeling, strengthens governance protocols, and reduces the likelihood of unintentional exposure of confidential material. Veriket features a variety of adjustable classification tiers, utilizes metadata for precise labeling, integrates document and screen watermarking, offers guided classification forms, and supports centralized policy management. Tailored for enterprises facing regulatory challenges, this platform equips security and compliance teams to standardize information handling, comply with privacy regulations, and enhance the efficiency of data loss prevention strategies and comprehensive information security measures. Additionally, it streamlines the classification workflow while fortifying organizational defenses against potential data breaches and compliance infractions, ensuring that sensitive data is consistently managed with the highest level of care. This innovative approach not only aids in compliance but also fosters a culture of security awareness within the organization.

Ohalo's Data X-Ray platform streamlines data governance by automating essential tasks such as identifying, mapping, and censoring files that contain sensitive or personal information. Our clients depend on it to monitor file activities, bolster security measures, and maintain privacy compliance effectively. Data X-Ray seamlessly integrates with all types of data sources, whether stored on-premises or in the cloud, providing a thorough understanding of files across various storage locations. Additionally, Ohalo offers the capability to create custom connectors tailored to specific data sources, whether they are custom-built or older systems, as per client requests. This end-to-end document management solution leverages machine learning and natural language processing to reveal hidden or overlooked data, ensuring adherence to privacy and security standards. By helping organizations eliminate unnecessary records, it not only enhances compliance but also contributes to reduced storage costs. Discover Data X-Ray: A singular platform delivering comprehensive insights for all your data management needs. With its robust features, Data X-Ray empowers organizations to navigate the complexities of data governance with ease and efficiency.

Decube is an all-encompassing platform for data management tailored to assist organizations with their needs in data observability, data cataloging, and data governance. By delivering precise, trustworthy, and prompt data, our platform empowers organizations to make more informed decisions. Our tools for data observability grant comprehensive visibility throughout the data lifecycle, simplifying the process for organizations to monitor the origin and movement of data across various systems and departments. Featuring real-time monitoring, organizations can swiftly identify data incidents, mitigating their potential disruption to business activities. The data catalog segment of our platform serves as a unified repository for all data assets, streamlining the management and governance of data access and usage within organizations. Equipped with data classification tools, organizations can effectively recognize and handle sensitive information, thereby ensuring adherence to data privacy regulations and policies. Moreover, the data governance aspect of our platform offers extensive access controls, allowing organizations to oversee data access and usage with precision. Our capabilities also enable organizations to produce detailed audit reports, monitor user activities, and substantiate compliance with regulatory standards, all while fostering a culture of accountability within the organization. Ultimately, Decube is designed to enhance data management processes and facilitate informed decision-making across the board.

Introducing the industry's pioneering SaaS solution for access governance, designed for multi-cloud data security through a unified interface. With the cloud landscape becoming increasingly fragmented and data dispersed across various platforms, managing sensitive information can pose significant challenges due to a lack of visibility. This complexity in data onboarding also slows down productivity for data scientists. Furthermore, maintaining data governance across different services often requires a manual and piecemeal approach, which can be inefficient. The process of securely transferring data to the cloud can also be quite labor-intensive. By enhancing visibility and evaluating the risks associated with sensitive data across various cloud service providers, this solution allows organizations to oversee their data policies from a consolidated system. It effectively supports compliance requests, such as RTBF and GDPR, across multiple cloud environments. Additionally, it facilitates the secure migration of data to the cloud while implementing Apache Ranger compliance policies. Ultimately, utilizing one integrated system makes it significantly easier and faster to transform sensitive data across different cloud databases and analytical platforms, streamlining operations and enhancing security. This holistic approach not only improves efficiency but also strengthens overall data governance.

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.

Secuvy is an innovative cloud platform that streamlines data security, privacy compliance, and governance through the use of AI-powered workflows. It ensures optimal management of unstructured data by leveraging superior data intelligence. This advanced platform provides automated data discovery, tailored subject access requests, user validations, and intricate data maps and workflows to meet privacy regulations like CCPA and GDPR. Utilizing data intelligence enables the identification of sensitive and personal information across various data repositories, whether they are in transit or stored. Our goal is to empower organizations to safeguard their reputation, automate their operations, and enhance customer trust in a rapidly evolving landscape. Furthermore, we aim to minimize human intervention, reduce costs, and decrease the likelihood of errors in the management of sensitive information, thereby promoting greater operational efficiency.

Our platform empowers businesses to harness data for advanced analytics, machine learning, and AI, all while ensuring that customers, employees, and intellectual property remain secure. The Protegrity Data Protection Platform goes beyond mere data protection; it also identifies and classifies data while safeguarding it. To effectively protect data, one must first be aware of its existence. The platform initiates this process by categorizing data, enabling users to classify the types most frequently found in the public domain. After these classifications are set, machine learning algorithms come into play to locate the relevant data types. By integrating classification and discovery, the platform effectively pinpoints the data that requires protection. It secures data across various operational systems critical to business functions and offers privacy solutions such as tokenization, encryption, and other privacy-enhancing methods. Furthermore, the platform ensures ongoing compliance with regulations, making it an invaluable asset for organizations aiming to maintain data integrity and security.

In contrast to many conventional data management systems, PHEMI Health DataLab is designed with Privacy-by-Design principles integral to its foundation, rather than as an additional feature. This foundational approach offers significant benefits, including: It allows analysts to engage with data while adhering to strict privacy standards. It incorporates a vast and adaptable library of de-identification techniques that can conceal, mask, truncate, group, and anonymize data effectively. It facilitates the creation of both dataset-specific and system-wide pseudonyms, enabling the linking and sharing of information without the risk of data leaks. It gathers audit logs that detail not only modifications made to the PHEMI system but also patterns of data access. It automatically produces de-identification reports that are accessible to both humans and machines, ensuring compliance with enterprise governance risk management. Instead of having individual policies for each data access point, PHEMI provides the benefit of a unified policy that governs all access methods, including Spark, ODBC, REST, exports, and beyond, streamlining data governance in a comprehensive manner. This integrated approach not only enhances privacy protection but also fosters a culture of trust and accountability within the organization.