Best Data Classification Software for Mid Size Business - Page 2

Blindata is a comprehensive Data Governance program that includes all functions. Data Catalog, Data Lineage & Business Glossary provide a complete and integrated view of your Data. Data Classification gives data a semantic meaning, while Data Quality Modules, Issue Management and Data Stewardship modules increase the reliability and trust of data. Privacy compliance can also be facilitated by specific features. Registry of processing activities, central management of privacy notes, consent registry with Blockchain integration. Blindata Agent is able to connect to multiple data sources and collect metadata, such as data structures (Tables Views Fields ...), data Quality metrics, reverse lineage etc.). Blindata's modular architecture is entirely API-based, allowing for systematic integration with business systems of the highest importance (DBMS, Active Directory e-commerce and Data Platforms). Blindata can be purchased as a SaaS or installed "on Premise", or it can be purchased from AWS Marketplace.

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.

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.

OSOS by Mozn, an advanced artificial intelligence platform (AI), is specifically designed to process and understand the Arabic language. It is described by some as the most accurate large-language model (LLM) to handle the complexity of Arabic. OSOS is a leader in Arabic Natural Language Understanding, boasting the fastest and scalable Arabic text analytics algorithms. This platform is a part of Mozn’s ambitious initiative to create the world’s largest and most efficient Arabic language models. OSOS is also an AI-powered search tool, with a range of features such as content generation, question answering and more. Its aim is to improve decision-making for organizations and increase operational efficiency.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Amazon SageMaker JumpStart serves as a comprehensive hub for machine learning (ML) that facilitates the acceleration of your ML endeavors. This platform offers access to a variety of built-in algorithms accompanied by pretrained models sourced from model hubs, along with pretrained foundation models that assist in tasks like article summarization and image creation. Additionally, it provides prebuilt solutions designed to address typical use cases. Users can also share ML artifacts, including models and notebooks, within their organization, thereby streamlining the process of ML model development and deployment. SageMaker JumpStart boasts an extensive library of hundreds of built-in algorithms with pretrained models available from reputable model hubs such as TensorFlow Hub, PyTorch Hub, HuggingFace, and MxNet GluonCV. Furthermore, the platform allows for the utilization of these built-in algorithms via the SageMaker Python SDK, which enhances accessibility for developers. The built-in algorithms encompass a range of common ML tasks, including data classifications for images, text, and tabular data, as well as sentiment analysis, ensuring a robust toolkit for machine learning practitioners.

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.

Adaptive is a sophisticated data security solution aimed at safeguarding sensitive information from being exposed to both human and automated entities. It boasts a secure control plane that allows for data protection and access, utilizing an agentless framework that eliminates the need for network reconfiguration and can be implemented in either cloud environments or on-premises settings. This platform empowers organizations to grant privileged access to data resources without the necessity of sharing actual credentials, thereby bolstering their security measures. Additionally, it offers just-in-time access to a variety of data sources such as databases, cloud infrastructure, data warehouses, and web services. Furthermore, Adaptive streamlines non-human data interactions by linking third-party tools or ETL pipelines through a centralized interface, ensuring that data source credentials remain confidential. To reduce the risk of data exposure, the platform incorporates data masking and tokenization for users without privileged access, all while maintaining existing access workflows. Moreover, it ensures thorough audibility through identity-based audit trails that encompass all resources, allowing organizations to monitor and track access effectively. In this way, Adaptive establishes a robust framework for data security and management in modern digital ecosystems.