Modern data security and management topologies: A guide for IT leaders

Three factors are driving the need for a fresh approach to data security and management. First is the imperative for digital transformation and API-driven infrastructure. IT leaders are modernizing every aspect of their IT estate to support greater automation, extensibility, cloud scale, software-defined architectures, and “shift left” security principles.

Second, the cyber threat landscape is evolving in complex, unpredictable ways. The existing data estates of many organizations are siloed, resulting in greater operational risk from a cyberattack. A recent survey indicates that 32% of organizations believe that rapid recovery times are hindered by antiquated backup and recovery systems. Similarly, 34% say that a lack of integration between IT and security teams also prolongs recovery times.

And third, the advent of AI has caused leaders to search for modern data platforms that make enterprise data accessible to generative AI technologies.

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