DataHub is a versatile open-source metadata platform crafted to enhance data discovery, observability, and governance within various data environments. It empowers organizations to easily find reliable data, providing customized experiences for users while avoiding disruptions through precise lineage tracking at both the cross-platform and column levels. By offering a holistic view of business, operational, and technical contexts, DataHub instills trust in your data repository. The platform features automated data quality assessments along with AI-driven anomaly detection, alerting teams to emerging issues and consolidating incident management. With comprehensive lineage information, documentation, and ownership details, DataHub streamlines the resolution of problems. Furthermore, it automates governance processes by classifying evolving assets, significantly reducing manual effort with GenAI documentation, AI-based classification, and intelligent propagation mechanisms. Additionally, DataHub's flexible architecture accommodates more than 70 native integrations, making it a robust choice for organizations seeking to optimize their data ecosystems. This makes it an invaluable tool for any organization looking to enhance their data management capabilities.
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Safetica Intelligent Data Security protects sensitive enterprise data wherever your team uses it.
Safetica is a global software company that provides Data Loss Prevention and Insider Risk Management solutions to organizations.
✔️ Know what to protect: Accurately pinpoint personally identifiable information, intellectual property, financial data, and more, wherever it is utilized across the enterprise, cloud, and endpoint devices.
✔️ Prevent threats: Identify and address risky activities through automatic detection of unusual file access, email interactions, and web activity. Receive the alerts necessary to proactively identify risks and prevent data breaches.
✔️ Secure your data: Block unauthorized exposure of sensitive personal data, trade secrets, and intellectual property.
✔️ Work smarter: Assist teams with real-time data handling cues as they access and share sensitive information.
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Netwrix Data Classification
Netwrix Data Classification is a comprehensive data classification solution that enables organizations to discover, organize, and secure sensitive data across their infrastructure. It scans both structured and unstructured data in on-premises and cloud environments to identify sensitive information. The platform uses predefined classification rules and advanced analysis techniques to categorize data based on regulatory and business requirements. It helps organizations locate sensitive data such as personal, financial, and intellectual property information. Netwrix Data Classification also identifies redundant, obsolete, and trivial data that can increase storage costs and security risks. The solution automates risk remediation by applying actions such as moving files, adjusting permissions, or redacting sensitive content. It integrates with data loss prevention and information rights management tools to improve overall data security. The platform supports compliance by enabling organizations to meet standards such as GDPR, HIPAA, and PCI DSS. It embeds classification tags into files to improve tracking and management. By providing detailed insights into data usage and exposure, it helps reduce security risks. Overall, it enables organizations to manage data more effectively while strengthening security and compliance.
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Protegrity
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.
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