Alternatives to IBM InfoSphere QualityStage

Thales has revolutionized the landscape of data security with its CipherTrust Data Security Platform, which simplifies data protection, hastens compliance processes, and facilitates safe cloud transitions. This state-of-the-art platform employs a modern micro-services architecture that is optimized for cloud environments and incorporates essential features such as Data Discovery and Classification, seamlessly integrating the most effective functionalities from the Vormetric Data Security Platform along with KeySecure and its associated connector products. By merging data discovery, classification, safeguarding, and advanced access control with centralized key management, the CipherTrust Data Security Platform operates as a cohesive unit. Consequently, organizations experience a decrease in the resources needed for data security tasks, enhanced compliance measures, and a marked reduction in overall business risk. Acting as a comprehensive suite of data-centric security solutions, the CipherTrust Data Security Platform empowers businesses to effectively manage and control their data security needs from a single, unified interface, ensuring robust protection and compliance in a rapidly evolving digital landscape.

Explore the exceptional features offered by Global IDs, which provide a comprehensive range of Enterprise Data Solutions including data governance, compliance, cloud migration, rationalization, privacy, analytics, and more. The Global IDs EDA Platform includes essential functionalities such as automated discovery and profiling, data classification, data lineage, and data quality, all aimed at ensuring that data is transparent, reliable, and understandable throughout the ecosystem. Additionally, the architecture of the Global IDs EDA platform is built for seamless integration, enabling access to all its functionalities through APIs. This platform effectively automates data management for organizations of varying sizes and diverse data environments. By utilizing Global IDs EDA, businesses can significantly enhance their data management practices and drive better decision-making.

Assist organizations in enhancing their data protection strategies through the utilization of data discovery, file analysis, and classification techniques. Safeguard your entire data environment with SISA Radar's capabilities in data discovery and classification. Effectively arrange and categorize sensitive data according to its importance and organizational requirements. Acquire contextual insights that facilitate improved management of sensitive information. Achieve comprehensive visibility into various forms of sensitive data, including structured, semi-structured, and unstructured types. Ensure the safeguarding of data against unauthorized access while adhering to compliance standards such as PCI DSS, GDPR, CCPA, POPIA, PDPA, APRA, and other privacy regulations. Develop and personalize your own data classification framework to suit specific needs. Adopt a scalable and resilient strategy for advanced data security in the future. Utilize a singular platform designed to uncover, identify, and contextualize sensitive information efficiently. With a proprietary data discovery algorithm, experience quicker detection times and a significant reduction in false positives, ultimately enhancing your overall data protection efforts. This comprehensive approach will ensure that your organization remains resilient in the face of evolving data security challenges.

MindLink offers secure Persistent Chat rooms that serve as a continuous collaborative framework for critical operations. It ensures the protection of highly sensitive information by employing state-of-the-art end-to-end encryption, robust access controls, and a comprehensive data classification system. Tailored for essential mission scenarios, MindLink supports incident management, real-time operations, shift-based teamwork, and collaboration across different organizations. This specialized solution is crafted to meet the demands of today’s complex mission environments. Additionally, it features a unique data classification system that effectively labels all chat and message content. With an advanced security framework, it intelligently categorizes data into exclusive "communities of interest." Moreover, MindLink employs an innovative method to encrypt chat data while facilitating the secure distribution of encryption keys among users, ensuring both collaboration and security are maintained.

Microsoft Purview serves as a comprehensive data governance platform that facilitates the management and oversight of your data across on-premises, multicloud, and software-as-a-service (SaaS) environments. With its capabilities in automated data discovery, sensitive data classification, and complete data lineage tracking, you can effortlessly develop a thorough and current representation of your data ecosystem. This empowers data users to access reliable and valuable data easily. The service provides automated identification of data lineage and classification across various sources, ensuring a cohesive view of your data assets and their interconnections for enhanced governance. Through semantic search, users can discover data using both business and technical terminology, providing insights into the location and flow of sensitive information within a hybrid data environment. By leveraging the Purview Data Map, you can lay the groundwork for effective data utilization and governance, while also automating and managing metadata from diverse sources. Additionally, it supports the classification of data using both predefined and custom classifiers, along with Microsoft Information Protection sensitivity labels, ensuring that your data governance framework is robust and adaptable. This combination of features positions Microsoft Purview as an essential tool for organizations seeking to optimize their data management strategies.

Blindata encompasses all the essential components of a comprehensive Data Governance program. Its features, including the Business Glossary, Data Catalog, and Data Lineage, work together to provide a cohesive and thorough perspective on your data. The Data Classification module assigns semantic significance to the data, while the Data Quality, Issue Management, and Data Stewardship modules enhance data reliability and foster trust. Additionally, specific functionalities for privacy compliance are available, such as a registry for processing activities, centralized management of privacy notes, and a consent registry that incorporates Blockchain for notarization. The Blindata Agent facilitates connections to various data sources, enabling the collection of metadata, including data structures like Tables, Views, and Fields, as well as data quality metrics and reverse lineage. With a modular design and fully API-driven architecture, Blindata supports seamless integration with vital business systems, including DBMS, Active Directory, e-commerce platforms, and various Data Platforms. This versatile solution can be deployed as a Software as a Service (SaaS), installed on-premises, or acquired through the AWS Marketplace, making it accessible for a wide range of organizational needs. Its flexibility ensures that businesses can tailor their Data Governance approach to meet specific requirements effectively.

MineOS is a UX-focused data privacy platform that knows compliance work has been rough in the past. Our automated no-code platform can be up & running in a day to bring companies comprehensive data mapping & classification that integrates with hundreds of popular data sources and discovers nearly 100% of a company’s data. By mapping and classifying data better, DSR management, risk assessments, and data policy enforcement all become easier and faster. Simplify compliance. Gain consumer trust. MineOS.ai

Klassify requires users to explicitly label the sensitivity of information by using classification tags and protective markings on documents and emails. As users engage with this information, visual classification labels serve as reminders for appropriate handling in accordance with their organization's data security protocols. This flexible data classification platform empowers organizations to identify, categorize, and secure their critical data, ensuring that end users are actively involved in its proper management. Klassify aids in locating and recognizing sensitive information within legacy data across various systems, including endpoints, servers, storage solutions, databases, and cloud services, facilitating responsible data management moving forward. Furthermore, Klassify streamlines the process of adhering to regulatory standards such as PCI, GDPR, HIPAA, and DPA. Enhanced metadata and contextual insights provide organizations with the tools needed for better governance and efficiency, particularly with unstructured data, ultimately fostering a culture of data awareness and protection. Through its user-centric approach, Klassify not only promotes compliance but also enhances the overall security posture of an organization.

Enhance your objectives with a seamless range of computing resources that span various data classifications, from the intelligent cloud to the intelligent edge. Position yourself for the future by leveraging the widest array of commercial innovations tailored for governmental needs. Azure offers sophisticated computing and analytical tools that stretch from the cloud to the edge, empowering you to derive actionable insights, accelerate operations, and amplify your mission's effectiveness. You have the option to select from over 60 global regions or opt for Azure Government, a specialized cloud solution designed to surpass the stringent requirements for both classified and unclassified US Government data. Engage more effectively at the tactical edge by pre-processing data to ensure low latency responses, implementing AI and machine learning at remote locations, or swiftly utilizing satellite data for informed decision-making in settings without connectivity. Unlock valuable insights, enhance your agility, and propel your mission forward with Azure's capabilities specifically designed for classified data, ensuring that you stay ahead in an ever-evolving landscape. Furthermore, with Azure, your access to innovative solutions can significantly transform your operational capabilities and strategic outcomes.

Take charge of your data management by implementing zero-trust access governance. Identify, evaluate risks, and safeguard essential business content effectively. Ensure the protection of sensitive and regulated information, while also complying with regulatory requirements related to financial data, privacy, and the right to be forgotten. Concentric offers seamless, agentless connectivity to an extensive range of data repositories, allowing you to manage data access regardless of its location. We handle both structured and unstructured data, whether it resides in the cloud or on your premises. Additionally, our platform integrates smoothly with well-known data classification frameworks, such as Microsoft Information Protection, enabling you to achieve superior coverage and enhanced accuracy in classification across your security ecosystem. Should you require additional capabilities not listed, please reach out to us; our dedicated professional services team is ready to assist in swiftly connecting your data. By leveraging our solutions, you can enhance your overall data governance and security posture.

JANUSEC Privacy offers a comprehensive accountability framework along with on-premise IT solutions designed for governance in privacy compliance, which encompasses various aspects such as records of processing activities, privacy impact assessments, asset security evaluations, and control measures, all aimed at supporting organizations in proving their adherence to privacy regulations like GDPR and CCPA. This includes the essential Records of Processing Activities as outlined in GDPR Article 30 and the requirement for Privacy Impact Assessments or Data Protection Impact Assessments as stated in GDPR Article 35. Additionally, the framework facilitates effective data classification, further enabling organizations to showcase their commitment to privacy compliance and accountability as mandated by GDPR Article 5, thereby ensuring robust governance in the realm of data protection. By implementing these solutions, enterprises can better navigate the complexities of privacy regulations and enhance their operational transparency in handling personal data.

Discover the ultimate solution for identifying, tracking, and safeguarding sensitive information on a large scale. This comprehensive data security platform is designed to swiftly mitigate risks, identify unusual activities, and ensure compliance without hindering your operations. Combining a robust platform, a dedicated team, and a strategic plan, it equips you with a competitive edge. Through the integration of classification, access governance, and behavioral analytics, it effectively secures your data, neutralizes threats, and simplifies compliance processes. Our tried-and-true methodology draws from countless successful implementations to help you monitor, protect, and manage your data efficiently. A team of expert security professionals continuously develops sophisticated threat models, revises policies, and supports incident management, enabling you to concentrate on your key objectives while they handle the complexities of data security. This collaborative approach not only enhances your security posture but also fosters a culture of proactive risk management.

Amazon SageMaker JumpStart serves as a comprehensive hub for machine learning (ML), designed to expedite your ML development process. This platform allows users to utilize various built-in algorithms accompanied by pretrained models sourced from model repositories, as well as foundational models that facilitate tasks like article summarization and image creation. Furthermore, it offers ready-made solutions aimed at addressing prevalent use cases in the field. Additionally, users have the ability to share ML artifacts, such as models and notebooks, within their organization to streamline the process of building and deploying ML models. SageMaker JumpStart boasts an extensive selection of hundreds of built-in algorithms paired with pretrained models from well-known hubs like TensorFlow Hub, PyTorch Hub, HuggingFace, and MxNet GluonCV. Furthermore, the SageMaker Python SDK allows for easy access to these built-in algorithms, which cater to various common ML functions, including data classification across images, text, and tabular data, as well as conducting sentiment analysis. This diverse range of features ensures that users have the necessary tools to effectively tackle their unique ML challenges.

The Activa Fixed Assets Register is a comprehensive and feature-rich software application designed for managing the entire life-cycle of fixed assets. It can function independently or serve as the foundational system for the broader Activa Business software suite. This application is recognized as a leader in its field. A pivotal element of its functionality is data classification, which enables adaptable reporting capabilities. The underlying data architecture of Activa is crafted to create an information system that effectively filters and organizes content in an accessible and visually clear manner. This architecture is built from fundamental components, forming a multi-tiered hierarchy that is displayed in a conventional tree-like data model, and is widely utilized across the application. Users can customize the tree structure to encompass anywhere from 3 to 10 levels. The process is governed by minimal specific regulations, allowing for an exceptional level of flexibility in the structural tools, which can be tailored to meet varying reporting requirements effectively. Ultimately, this adaptability ensures that users can create configurations that align perfectly with their specific asset management needs.

Is the ever-increasing amount of data in your organization becoming overwhelming? Netwrix Data Classification addresses your data challenges effectively, helping to reduce the chances of data breaches, unlock the full potential of your information, enhance employee efficiency, and simplify compliance audits. It enables you to identify sensitive information, such as financial details, medical records, and personally identifiable information (PII), whether stored on-site or in the cloud. Critical or sensitive data located in insecure places or accessible to numerous users can be automatically quarantined to reduce its risk until you can implement a careful remediation plan. Additionally, you will develop a deeper insight into your organization’s specific data patterns. By utilizing compound term processing and statistical analysis, you will achieve results that are more pertinent than those derived from mere keyword searches and semantic evaluation. You can initiate your discovery process in just a few minutes with pre-configured rules designed to highlight data protected under regulations like GDPR, PCI DSS, and HIPAA. This streamlined approach not only accelerates your data management but also ensures that you maintain compliance effortlessly.

Praxi is an innovative data classification platform that leverages artificial intelligence to convert unstructured data into meaningful and actionable insights specifically for highly regulated sectors like healthcare, finance, and defense. By providing pre-trained AI models, it streamlines the processes of data discovery, curation, and classification, significantly reducing the need for manual intervention and saving both time and resources. The platform effectively scans various data sources and silos, establishing a cohesive interface that clarifies data relationships while ensuring compliance with GDPR regulations and facilitating automated data curation. Offering real-time insights and improved data governance, Praxi seamlessly integrates with existing systems, empowering organizations to fully harness their data, enhance decision-making capabilities, and maintain regulatory compliance. Furthermore, its user-friendly design enables teams to focus on strategic initiatives while the platform manages the complexities of data management.

Meeting the demands of various new global data privacy laws and regulations is crucial for robust cybersecurity, and initiating data classification is the foundational step in establishing an effective data protection strategy. The suite of Titus Classification products offers vital resources that provide clear guidance to both personnel and regulations regarding which data must be safeguarded and the appropriate methods for its management. You can oversee and secure your data using the most adaptable and customizable classification metadata schema available in the industry. By giving your data context, you enable both individuals and automated systems to comprehend the proper handling of the information. It acts as a classification and policy enforcement mechanism, ensuring that every Microsoft Office document is appropriately classified before it can be saved, printed, or emailed. Additionally, every email must receive classification and protective marking before dispatch. Users can classify and secure any file type with just a few clicks in Microsoft Windows Explorer, significantly enhancing the protection of your organization. This streamlined process not only simplifies compliance but also fosters a culture of data awareness and responsibility among employees.

The Databricks Data Intelligence Platform empowers every member of your organization to leverage data and artificial intelligence effectively. Constructed on a lakehouse architecture, it establishes a cohesive and transparent foundation for all aspects of data management and governance, enhanced by a Data Intelligence Engine that recognizes the distinct characteristics of your data. Companies that excel across various sectors will be those that harness the power of data and AI. Covering everything from ETL processes to data warehousing and generative AI, Databricks facilitates the streamlining and acceleration of your data and AI objectives. By merging generative AI with the integrative advantages of a lakehouse, Databricks fuels a Data Intelligence Engine that comprehends the specific semantics of your data. This functionality enables the platform to optimize performance automatically and manage infrastructure in a manner tailored to your organization's needs. Additionally, the Data Intelligence Engine is designed to grasp the unique language of your enterprise, making the search and exploration of new data as straightforward as posing a question to a colleague, thus fostering collaboration and efficiency. Ultimately, this innovative approach transforms the way organizations interact with their data, driving better decision-making and insights.

The NVISIONx data risk intelligence platform provides organizations with the ability to take charge of their enterprise data, thereby minimizing risks associated with data, compliance requirements, and storage expenses. The exponential growth of data is becoming increasingly unmanageable, leading to heightened challenges for business and security leaders who struggle to secure information they cannot effectively identify. Simply adding more controls will not resolve the underlying issues. With extensive and unlimited analytical capabilities, the platform supports over 150 specific business use cases, equipping data owners and cybersecurity professionals to proactively oversee their data throughout its entire lifecycle. Initially, it is essential to identify and categorize data that is redundant, outdated, or trivial (ROT), which allows companies to determine what can be safely eliminated, thereby streamlining classification efforts and cutting down on storage costs. Subsequently, all remaining data can be contextually classified through a variety of user-friendly data analytics methods, empowering data owners to assume the role of their own analysts. Finally, any data deemed unnecessary or undesirable can undergo thorough legal evaluations and records retention assessments, ensuring that organizations maintain compliance and optimize their data management strategies.

Kogni's Discover feature allows enterprises to find and detect sensitive and critical information. Find sensitive data from any source, in whatever format, and of any type. Kogni's sensitive data discovery software automates data discovery and classification. Kogni's easy-to-implement software allows seamless integration with your company's data warehouse. Kogni's sensitive information discovery tool can help you accelerate compliance with industry standards and international data regulations. Reduce the risk of data leakage and the costs of non-compliance to data protection and privacy regulations such as HIPAA, GDPR and CCPA, PCI and PII. Scans and pin-points sensitive information from more than 10 data sources. This tool creates a comprehensive dashboard of sensitive information with a variety of special features. Your sensitive data classification groups can be customized to meet your company's requirements. Supports a wide variety of data types and formats.

Streamline and automate top-tier data security solutions to take charge of your future. With Seclore’s Data-Centric Security Platform, you can integrate leading Data-Centric Security tools into a unified, automated system without incurring additional integration expenses. While Data Loss Prevention (DLP), Classification, and Rights Management each offer unique benefits, their combined capabilities guarantee that documents are adequately safeguarded and monitored throughout their lifecycle. Additionally, your current Enterprise systems, including EFSS, email, ECM, directories, and SIEM, can be effortlessly incorporated into this framework to enhance automation. By bringing together best-in-class DLP, Data Classification, Rights Management, and SIEM solutions, you can create a seamless, automated process for superior information security without the burden of extra integration costs. The Seclore Unified Policy Manager empowers you to effectively manage identity, policies, connectivity, encryption, and gather insights on document usage, ensuring comprehensive protection. This integration not only improves security but also simplifies compliance with data protection regulations, making your organization more resilient against potential threats.

Our platform allows businesses to use data, including its application in advanced analysis, machine learning and AI, to do great things without worrying that customers, employees or intellectual property are at risk. The Protegrity Data Protection Platform does more than just protect data. It also classifies and discovers data, while protecting it. It is impossible to protect data you don't already know about. Our platform first categorizes data, allowing users the ability to classify the type of data that is most commonly in the public domain. Once those classifications are established, the platform uses machine learning algorithms to find that type of data. The platform uses classification and discovery to find the data that must be protected. The platform protects data behind many operational systems that are essential to business operations. It also provides privacy options such as tokenizing, encryption, and privacy methods.

Only Salt continuously and automatically discovers all APIs. It captures granular details about APIs to help you identify blind spots, assess risk, protect APIs, and maintain APIs protected, even as your environment changes. Continuously and automatically discover all APIs internal and external. You can also capture granular details like parameters, parameter functions and exposed sensitive data to help understand your attack surface, assess risk, and make informed decisions about how to protect them. Salt customers have discovered anywhere from 40% to 800% more APIs that what was listed in their documentation. These shadow APIs pose a serious risk to organizations as they can expose sensitive data or PII. Bad actors attacking APIs have moved past traditional "one-and done" attacks like SQLi and XSS. They now focus on exploiting API business logic vulnerabilities. Your APIs are unique so attacks must be unique.

Data Identification Manager™, which uses the same technology, rules, and ongoing classification stewardship across the company, takes the hassle out of classifying your data. This ensures that your entire IT estate is protected from unreliable and irrelevant data.

Data Loss Prevention can be described as a system that automatically enforces data security policies and real-time data classification of data in motion and at rest. Data in motion refers to data that is sent to the internet, cloud, devices, or printer. Our technology leader is our solution. Our Data Loss Prevention security engine detects both structured and unstructured data at the binary level. It protects on-premises, offsites, as well as the cloud. GTB is the only Data Loss Prevention tool that protects data even when it's not connected to the network. Find, classify, classify, index, redact and re-mediate your data. This includes PII, PHI, structured data, FERC/NERC, SOX & more. Our patent-pending proprietary technology can prevent sensitive data from being synced to private or unapproved clouds. It also allows users to identify "sync files".

Data security need not hinder business efficiency. Forcepoint emphasizes the integration of policies, user risk assessment, and automation, creating a seamless and user-friendly approach to data protection. With access to the largest library of pre-defined policies in the industry, you can oversee and manage your data effectively. Achieve compliance with regulations such as GDPR and CCPA across over 80 nations. Utilize Boldon James and Azure Information Protection for effective data classification. Transition from broad, generalized rules to tailored, responsive data security measures that maintain employee productivity. Restrict actions only when necessary, empowering your workforce. Safeguard sensitive information, including personally identifiable information (PII), protected health information (PHI), financial records, trade secrets, and credit card details, even in visual formats. Monitor both structured and unstructured intellectual property (IP) and thwart slow, stealthy data breaches, even when user devices operate off the network. By adopting these strategies, organizations can enhance their data security posture while fostering a more productive work environment.

MIND represents a groundbreaking data security solution that automates data loss prevention (DLP) and insider risk management (IRM), enabling organizations to swiftly identify, detect, and thwart data leaks at machine speed. It actively locates sensitive information within files dispersed throughout various IT environments, whether the data is at rest, in transit, or actively in use. By pinpointing and addressing blind spots in sensitive data across IT ecosystems such as SaaS applications, AI tools, endpoints, on-premises file shares, and emails, MIND ensures comprehensive coverage. The platform continually monitors and assesses billions of data security incidents in real time, providing enriched context for each event and autonomously implementing remediation measures. Furthermore, MIND can automatically prevent sensitive data from leaving your control in real time or work collaboratively with users to mitigate risks while reinforcing your organization's policies. With its capacity to integrate seamlessly with diverse data sources across your IT infrastructure, MIND consistently reveals vulnerabilities in sensitive data, enhancing overall security posture. The innovative features of MIND not only protect valuable information but also foster a culture of compliance and awareness among users.

Adaptive is a robust data security platform aimed at safeguarding sensitive data from exposure across both human and automated entities. It features a secure control plane that allows for the protection and access of data, utilizing an agentless architecture that does not demand any network reconfiguration, making it suitable for deployment in both cloud environments and on-premises settings. This platform empowers organizations to grant privileged access to their data sources without the need to share actual credentials, thereby significantly bolstering their security stance. Additionally, it supports just-in-time access to an array of data sources such as databases, cloud infrastructure, data warehouses, and web services. Furthermore, Adaptive streamlines non-human data access by linking third-party tools or ETL pipelines through a unified interface, while ensuring data source credentials remain secure. To further reduce the risk of data exposure, the platform incorporates data masking and tokenization techniques for users with non-privileged access, all while maintaining existing access workflows. Moreover, it ensures thorough audibility by providing identity-based audit trails that cover all resources, enhancing accountability and oversight in data management practices. This combination of features positions Adaptive as a leader in the realm of data security solutions.

AI-powered classification can enhance your DLP cross-channel. Proofpoint Intelligent Classification & Protection is an AI-powered solution for classifying your critical business data. It accelerates your enterprise DLP program by recommending actions based on the risk. Our Intelligent Classification and Protection Solution helps you understand unstructured data at a fraction of what it takes with traditional approaches. It categorizes your files using an AI-model that has been pre-trained. It does this for both cloud-based and on-premises file repositories. Our two-dimensional classification gives you the business context and level of confidentiality you need to protect your data better in today's hybrid environment.

Forcepoint Data Classification utilizes advanced Machine Learning (ML) and Artificial Intelligence (AI) to enhance the precision of classifying unstructured data, thereby boosting your team's productivity, minimizing false alerts, and improving data loss prevention. By harnessing AI-driven insights, this approach revolutionizes data classification, allowing for precise and efficient categorization of data on a large scale. With the most extensive range of data types covered in the industry, it enhances operational efficiency and simplifies compliance, while also providing superior protection for organizational data assets. This solution accelerates the data classification process, leading to a decrease in false positives and allowing teams to focus more on genuine data security threats. Forcepoint equips organizations to discover, classify, monitor, and safeguard their data through a comprehensive suite of data security tools. Moreover, it offers a holistic perspective on unstructured data throughout the organization, ensuring no critical information is overlooked. Ultimately, this capability empowers businesses to respond swiftly and effectively to data management challenges.

Spirion has been solving real data protection problems since 2006. Since 2006, Spirion has provided accurate, contextual discovery of structured data and unstructured data. It also provides automated risk remediation and dashboards that give organizations greater visibility into the most sensitive data and assets. Spirion's data security software helps organizations reduce risk exposure, gain visibility to their data footprint, improve business efficiency and decision-making, and facilitate compliance with data protection laws.

Mage Sensitive Data Discovery module can help you uncover hidden data locations in your company. You can find data hidden in any type of data store, whether it is structured, unstructured or Big Data. Natural Language Processing and Artificial Intelligence can be used to find data in the most difficult of places. A patented approach to data discovery ensures efficient identification of sensitive data and minimal false positives. You can add data classifications to your existing 70+ data classifications that cover all popular PII/PHI data. A simplified discovery process allows you to schedule sample, full, and even incremental scans.

Uncover, categorize, and safeguard your sensitive information with Nightfall™, which leverages machine learning technology to detect essential business data, such as customer Personally Identifiable Information (PII), across your SaaS platforms, APIs, and data systems, enabling effective management and protection. With the ability to integrate quickly through APIs, you can monitor your data effortlessly without the need for agents. Nightfall’s machine learning capabilities ensure precise classification of sensitive data and PII, ensuring comprehensive coverage. You can set up automated processes for actions like quarantining, deleting, and alerting, which enhances efficiency and bolsters your business’s security. Nightfall seamlessly connects with all your SaaS applications and data infrastructure. Begin utilizing Nightfall’s APIs for free to achieve sensitive data classification and protection. Through the REST API, you can retrieve organized results from Nightfall’s advanced deep learning detectors, identifying elements such as credit card numbers and API keys, all with minimal coding. This allows for a smooth integration of data classification into your applications and workflows utilizing Nightfall's REST API, setting a foundation for robust data governance. By employing Nightfall, you not only protect your data but also empower your organization with enhanced compliance capabilities.

It is an add-on for Microsoft Office 2010 or higher. It allows you to add classification tags at the top of emails, and in the header/footer section of documents. It also allows you to encrypt attachments. ClassifyIt can be fully customized to help users classify all Outlook emails, Word files, Excel sheets, and PowerPoint slides. It is an important tool for ensuring policy compliance and is a key mechanism to achieve information safety. ClassifyIt's built to be intuitive and user-friendly... and it's priced very competitively. Classification Example: Unclassified, Restricted, Confidential, SECRET

NetApp BlueXP serves as a cohesive control plane designed to streamline the management of storage and data services in diverse hybrid multicloud settings. By incorporating advanced AIOps, extensive data services, and a unified system for managing licenses and subscriptions, it provides the agility, ease, and security essential for navigating today’s intricate IT environments. Organizations utilizing BlueXP can effectively construct, safeguard, and oversee their data assets, ensuring uniform operations whether they are on-premises or spread across various cloud platforms. This integrated strategy not only facilitates smooth data movement and offers strong safeguards against data loss and cyber threats but also provides valuable analytics for enhanced performance and cost-effectiveness. Ultimately, BlueXP empowers businesses to adapt quickly to changing demands while maintaining control over their data landscape.

Dasera is a Data Security Posture Management (DSPM) solution that provides comprehensive security and governance for structured and unstructured data across cloud and on-premises environments. It uniquely monitors data-in-use, offering continuous visibility and automated remediation to prevent data breaches at every data lifecycle stage. Dasera facilitates continuous risk detection and mitigation, ensuring seamless integration and regulation compliance. With a deep understanding of data infrastructure, attributes, users, and usage, Dasera empowers organizations to pursue a secure, data-driven growth strategy, minimizing risks and maximizing value in the digital era.

Strac is a comprehensive solution for managing Personally Identifiable Information (PII) and safeguarding businesses from compliance and security risks. It automatically detects and redacts sensitive data across platforms such as email, Slack, Zendesk, Google Drive, OneDrive, and Intercom. Additionally, it secures sensitive information by preventing it from ever touching servers, ensuring robust front-end and back-end protection. With quick integration into your SaaS tools, Strac helps eliminate data leaks while ensuring compliance with PCI, SOC 2, HIPAA, GDPR, and CCPA. Its advanced machine learning models, real-time alerts, and seamless redaction features save time and enhance productivity for your team.

Discover tailored solutions for your business through a customized approach that transforms challenges into opportunities, streamlining complex manual processes into seamless intelligent document processing. By harnessing advanced AI technology, we automate business workflows effectively, with Kapture serving as a cloud-based, self-service platform for enterprise-level form extraction. Our AI-driven OCR capabilities simplify the data classification and extraction tasks traditionally requiring significant human effort, catering to a wide range of industries. We efficiently manage forms and images in various formats, including PNG, TIFF, PDF, DOCX, and DOC, ensuring versatility in our handling process. The Kapture platform enables the creation of classifiers, allowing you to categorize different document types, such as invoices, KYC forms, and loan documentation. This systematic organization allows for the efficient separation of composite data into designated classifier folders for further processing. Additionally, our extractor captures vital values from your forms and printed materials with an impressive 80% automation rate, significantly optimizing your workflow. Ultimately, this approach not only enhances efficiency but also empowers your organization to focus on strategic initiatives.

ZinkML is an open-source data science platform that does not require any coding. It was designed to help organizations leverage data more effectively. Its visual and intuitive interface eliminates the need for extensive programming expertise, making data sciences accessible to a wider range of users. ZinkML streamlines data science from data ingestion, model building, deployment and monitoring. Users can drag and drop components to create complex pipelines, explore the data visually, or build predictive models, all without writing a line of code. The platform offers automated model selection, feature engineering and hyperparameter optimization, which accelerates the model development process. ZinkML also offers robust collaboration features that allow teams to work seamlessly together on data science projects. By democratizing the data science, we empower businesses to get maximum value out of their data and make better decisions.

The growing abundance of essential business information presents both opportunities for gaining insights and risks of potential mistakes. IBM® InfoSphere® Master Data Management offers robust matching functionalities to align and address discrepancies in data, ensuring that you maintain the most current and precise understanding of your information. With the ability to access a reliable, all-encompassing 360-degree perspective on your customers and operational processes, users can engage in collaboration and foster innovation. Users can now harness the enterprise capabilities of InfoSphere Master Data Management within the secure, governed, and integrated environment of IBM Cloud Pak® for Data. This solution allows for the consolidation of enterprise-wide business data into an exceptionally accurate representation. Additionally, it enables the visualization of master, transactional, and Hadoop data, facilitating analysis by business users and helping to create a virtual golden profile of master data suitable for registry-style applications. By enhancing visibility and accessibility, organizations can drive more informed decision-making.

IBM® InfoSphere® Data Replication offers a log-based change data capture feature that ensures transactional integrity, which is essential for large-scale big data integration, consolidation, warehousing, and analytics efforts. This tool gives users the versatility to replicate data across various heterogeneous sources and targets seamlessly. Additionally, it facilitates zero-downtime migrations and upgrades, making it an invaluable resource. In the event of a failure, IBM InfoSphere Data Replication ensures continuous availability, allowing for quick workload switches to remote database replicas within seconds rather than hours. Participate in the beta program to gain an early insight into the innovative on-premises-to-cloud and cloud-to-cloud data replication functionalities. By joining, you can discover the criteria that make you a great fit for the beta testing and the benefits you can expect. Don’t miss the opportunity to sign up for the exclusive IBM Data Replication beta program and partner with us in shaping the future of this product. Your feedback will be crucial in refining these new capabilities.

Grasping the quality, composition, and organization of your data is a crucial initial step in the process of making significant business choices. IBM® InfoSphere® Information Analyzer, which is part of the IBM InfoSphere Information Server suite, assesses data quality and structure both within individual systems and across diverse environments. With its reusable library of rules, it enables evaluations at multiple levels based on rule records and patterns. Moreover, it aids in managing exceptions to predefined rules, allowing for the identification of inconsistencies, redundancies, and anomalies in the data, while also helping to draw conclusions about optimal structural choices. By leveraging this tool, businesses can enhance their data governance and improve decision-making processes.

IBM InfoSphere® Optim™ Data Privacy offers a comprehensive suite of tools designed to effectively mask sensitive information in non-production settings like development, testing, quality assurance, or training. This singular solution employs various transformation methods to replace sensitive data with realistic, fully functional masked alternatives, ensuring the confidentiality of critical information. Techniques for masking include using substrings, arithmetic expressions, generating random or sequential numbers, manipulating dates, and concatenating data elements. The advanced masking capabilities maintain contextually appropriate formats that closely resemble the original data. Users can apply an array of masking techniques on demand to safeguard personally identifiable information and sensitive corporate data within applications, databases, and reports. By utilizing these data masking features, organizations can mitigate the risk of data misuse by obscuring, privatizing, and protecting personal information circulated in non-production environments, thereby enhancing data security and compliance. Ultimately, this solution empowers businesses to navigate privacy challenges while maintaining the integrity of their operational processes.

A comprehensive data design solution allows for the exploration, modeling, connection, standardization, and integration of various data assets scattered across the organization. IBM InfoSphere® Data Architect serves as a collaborative tool for enterprise data modeling and design, streamlining integration efforts for business intelligence, master data management, and service-oriented architecture projects. This solution facilitates collaboration with users throughout the entire data design journey, encompassing project management, application design, and data design phases. It aids in aligning processes, services, applications, and data architectures seamlessly. With features that support straightforward warehouse design, dimensional modeling, and effective change management, it significantly shortens development time while equipping users to design and oversee warehouses based on an enterprise logical model. Additionally, the implementation of time-stamped, column-organized tables enhances the comprehension of data assets, leading to improved efficiency and faster time to market. Ultimately, this tool empowers organizations to harness their data more effectively, driving better decision-making processes.

MDO transcends traditional master data management by incorporating automation and enhancing data standardization and governance, effectively leveraging your data to fulfill strategic objectives. It utilizes a robust governance framework, where active governance guarantees that only validated, standardized, and improved data is entered into your system. Meanwhile, passive governance facilitates continuous data validation and correction within your existing framework. As a scalable cloud solution, MDO is equipped with predefined data models and business rules, covering essential master data domains such as assets, spares, and suppliers, while also integrating smoothly with SAP and various other enterprise systems. Furthermore, MDO allows for the implementation of role-based governance policies, enriched with approval workflows and audit trails, fostering a sense of data ownership and amplifying data utilization throughout your organization. By preparing, cleansing, enriching, and migrating data, MDO is reinforced by a rigorous data quality assurance framework that ensures the integrity and reliability of your data. This comprehensive approach ultimately enhances your organization's ability to make informed decisions based on high-quality data.