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It is a framework to enable, monitor and manage comprehensive data security across the Hadoop platform. The vision with Ranger is to provide comprehensive security across the Apache Hadoop ecosystem. With the advent of Apache YARN, the Hadoop platform can now support a true data lake architecture. Enterprises can potentially run multiple workloads, in a multi tenant environment. Data security within Hadoop needs to evolve to support multiple use cases for data access, while also providing a framework for central administration of security policies and monitoring of user access. | π₯ Firewall β Risk Detection & Policy Gate; π§Ή Normalize β Sanitize & Rewrite Safely; π Policy Enforcement Layer; π‘ Data Protection (Inbound & Outbound); π Response Governance & Output Filtering; π Logging & Audit Trail; |
Centralized security administration to manage all security related tasks in a central UI or using REST APIs;
Fine grained authorization to do a specific action and/or operation with Hadoop component/tool and managed through a central administration tool;
Standardize authorization method across all Hadoop components;
Enhanced support for different authorization methods - Role based access control, attribute based access control etc;
Centralize auditing of user access and administrative actions (security related) within all the components of Hadoop | Artificial Intelligence, AI, Security, AI Security, Generative AI, AI Tools |
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AWS Key Management Service (KMS) is a managed service that makes it easy for you to create and control the encryption keys used to encrypt your data, and uses Hardware Security Modules (HSMs) to protect the security of your keys. AWS Key Management Service is integrated with other AWS services including Amazon EBS, Amazon S3, and Amazon Redshift. AWS Key Management Service is also integrated with AWS CloudTrail to provide you with logs of all key usage to help meet your regulatory and compliance needs.

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