IDUG AU 2025

Data today is dynamic, distributed and in high demand as data holds critical information to help organizations make informed business decisions, recommendations, and predications to stay competitive and to provide a better customer experience. All this information is stored in a data repository either on-premises or in the cloud, and native approaches to support security and compliance can be operationally complex and don’t ensure data confidentiality. In this presentation, we will take technical deep dive on how to accomplish automated data discovery, classification, real-time activity monitoring and machine learning analytics to understand, detect and respond to suspicious activity, and discuss the different scalable architectures for monitoring and protecting your data. The session will also emphasis on how you can protect your databases and data against insider and external attacks by understanding how to leverage capabilities such as alerting, blocking, and quarantining users and/or processes of suspicious behaviour. In addition, we will demonstrate how to help your organization support audit and compliance activities for APP, PCI DSS, SOX, HIPAA and many more. This session will be valuable for novice to seasoned experts that are looking to learn, design and implement a solid data protection model for data across the enterprise.