Globally, teams in risk, procurement, and compliance are under pressure to manage geopolitical risks and business risks. Third-party risks are impacted by the complexity of domestic and international businesses, as well as complex and diverse regulations. It is crucial that companies proactively manage third-party relationships. This cutting-edge platform, powered by D&B Data Cloud's 520M+ Global Business Records with 2B+ annual updates for third-party risks, is an AI-powered solution that mitigates and monitors counterparty risk on a continual basis. D&B Risk Analytics uses best-in class risk data, including alerts for high-risk purchases and match points of more than a billion. This helps to drive informed decisions. Intelligent workflows allow for quick and thorough screening. Receive alerts on key business indicators.
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Source Defense is an essential element of web safety that protects data at the point where it is entered. Source Defense Platform is a simple, yet effective solution to data security and privacy compliance. It addresses threats and risks that arise from the increased use JavaScript, third party vendors, and open source code in your web properties. The Platform offers options for securing code as well as addressing an ubiquitous gap in managing third-party digital supply chains risk - controlling actions of third-party, forth-party and nth-party JavaScript that powers your website experience.
Source Defense Platform provides protection against all types of client-side security incidents, including keylogging, formjacking and digital skimming. Magecart is also protected. - by extending the web security beyond the browser to the server.
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AWS DataSync
AWS DataSync is a secure online solution designed to automate and speed up the transfer of data from on-premises storage to AWS Storage services. This service streamlines migration planning while significantly lowering the costs associated with on-premises data transfer through its fully managed architecture that can effortlessly adapt to increasing data volumes. It enables users to transfer data between various systems, including Network File System (NFS) shares, Server Message Block (SMB) shares, Hadoop Distributed File Systems (HDFS), self-managed object storage, as well as multiple AWS services such as AWS Snowcone, Amazon Simple Storage Service (Amazon S3), Amazon Elastic File System (Amazon EFS), and several Amazon FSx file systems. Moreover, DataSync facilitates the movement of data not only between AWS and on-premises environments but also across different public clouds, simplifying processes for replication, archiving, and data sharing for applications. With its robust end-to-end security measures, including data encryption and integrity checks, DataSync ensures that data remains protected throughout the transfer process, allowing businesses to focus on their core operations without worrying about data security. This comprehensive solution is ideal for organizations looking to enhance their data management capabilities in the cloud.
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Amazon DataZone
Amazon DataZone serves as a comprehensive data management solution that empowers users to catalog, explore, share, and regulate data from various sources, including AWS, on-premises systems, and third-party platforms. It provides administrators and data stewards with the ability to manage and oversee data access with precision, guaranteeing that users possess the correct level of permissions and contextual understanding. This service streamlines data access for a diverse range of professionals, such as engineers, data scientists, product managers, analysts, and business users, thereby promoting insights driven by data through enhanced collaboration. Among its notable features are a business data catalog that enables searching and requesting access to published datasets, tools for project collaboration to oversee and manage data assets, a user-friendly web portal offering tailored views for data analysis, and regulated data sharing workflows that ensure proper access. Furthermore, Amazon DataZone leverages machine learning to automate the processes of data discovery and cataloging, making it an invaluable resource for organizations striving to maximize their data utility. As a result, it significantly enhances the efficiency of data governance and utilization across various business functions.
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