Five Steps Towards Achieving Secure Data Flow

Resolving the tension between data security and data-driven innovation

Published March 2019

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“The big aren’t eating the small—the fast are eating the slow.” This now familiar refrain does well to capture today’s attitude about data-driven innovation: Transformation must happen now. Disruptive business models enabled by the confluence of DevOps, Cloud, and AI/ML—and fueled by enterprise data—demand that businesses innovate at speed.

At the same time, the emergence of stringent data privacy laws and the threat of breach compel businesses to manage data with caution and sensitivity. What modern enterprises need, then, is an approach to data that balances speed of innovation with safety and security.

In this eBook, explore five key steps needed to achieve secure data flow. You’ll learn about:

• Ways to accelerate data delivery in large, complex enterprise environments
• Approaches for designing security into key data workflows to mitigate risk
• Real-world examples of businesses that have transformed how they manage data