January 9, 2024 | Posted in News
Traditional data protection methods are no longer sufficient in the face of rising security threats.
As unstructured data continues to grow exponentially, IT leaders are facing challenges in managing and leveraging this data for organizational gain. The average enterprise IT organization is managing petabytes of file and object data, leading to high costs for data storage and protection, growing security risks, and the need to leverage AI on this data. This poses the question: How to turn a liability into an opportunity?
Enterprises are re-evaluating their cloud-first strategies as they seek more cost-effective and secure storage options. With a flurry of new storage innovations in the market, IT organizations are now able to choose from a variety of storage options based on performance, cost, and security needs. The ability to easily move data without vendor lock-in is becoming increasingly valuable as data’s classification changes and new storage innovations emerge.
Storage technology is evolving to meet the extreme processing needs of AI and machine learning applications. Major storage vendors are creating GPU and Flash products specifically for these applications, while also incorporating more security features and energy-efficient features. However, this shift away from one-size-fits-all storage means that enterprise IT complexity will grow, requiring strategies and guidance for data lifecycle management to optimize data storage for maximum cost savings, data protection, and performance while enabling AI.
As ransomware, global disasters, and security attacks continue to rise, traditional data protection methods focused on mission-critical data are no longer sufficient. Organizations need to adapt their data protection strategies to address these evolving threats.