As more and more data is created, new compliance requirements are added, and data privacy in general reaches new levels of influence in consumer purchasing decisions, how can technology leaders ensure they keep close tabs on this data and the associated security and compliance risk?

Learn how Guardium Analyzer helps users efficiently assess security and compliance risk associated with regulated data. It helps identify databases containing regulated data and then helps minimize risk using next-generation classification techniques and vulnerability scanning.

From the perspectives of both data protection and regulatory compliance, it is just as critical to protect sensitive cloud-based data as it is on-premises data. One way to do this is through data encryption, yet many business’s encryption efforts are mired in fragmented approaches, siloed strategies for policy management and compliance reporting, and decentralized key management. These situations have all contributed to making encryption complicated and difficult to implement and manage.

This paper looks at 5 best practices for securing data in multi-cloud environments using the latest data encryption technologies.

When it comes to cloud environments, whether in the public cloud or a privately hosted or hybrid environment, data security and protection controls must protect sensitive data—and support constantly growing government and industry compliance requirements. Read this ebook to learn how data security and protection technologies should operate in multiple environments (physical, cloud and hybrid) at the same time.

Integration platforms as a service (iPaaS) provide a centralized console to manage, govern, and integrate cloud-based applications. These tools work by connecting cloud applications and services, and controlling integration flows. They can speed up product development by integrating existing tools, and increase data volume by utilizing external sources. Companies use these tools to scale performance needs, add product functionality, and structure application integrations. Features or data can be added or removed quickly, reducing failover, downtime, and development time. There is some relationship between iPaaS and ESB software, but iPaaS is typically used for customer-facing applications, while ESB is used for internal data transfers and updates.

Highly decentralized computing is the new normal for most organizations, and digital transformation (DX) initiatives are changing application architectures to event driven to support real-time and near-real-time response cycles. In this environment, enterprises are increasingly turning to messaging middleware to meet the combined requirements of complexity, speed, reliability, and security to connect the digital world of applications and data.

Whether you’re in the cloud, on mobile, on premises or in the IoT, IBM MQ simplifies, accelerates and facilitates security-rich data exchange.