As cloud data protection services evolve and provide improved support for data, applications, and workloads
deployed on public cloud services, organizations face the considerable challenge of integrating these technologies and processes into their existing data protection strategies. If general data strategies were universally effective and trusted, this process might roll seamlessly into existing architectures. But those strategies are too often executed and then left relatively untouched for years, leading to the rise of ad hoc adjustments that spawn complexity and security risks. Nonetheless, organizations are moving forward with cloud data protection services as they continue to deploy data-heavy, critical applications on public cloud infrastructure
