Protect and secure your data from cyber attacks
Data Protection
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The 5 Steps to Cyber Resilience
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Redefining the future of enterprise data management.
Driven by digital transformation, data has become an organization’s strategic asset and hybrid, multi-cloud the preferred operational model. Yet with data scattered across multiple clouds, it’s difficult to protect and truly harvest its value. Worse still, today’s enterprise data management tools are not optimized for hybrid, multi-cloud environments and operational agility. The modern, digital enterprise must adopt a new approach to data management—one that operates efficiently within a cloud, delivers a consistent experience across clouds, and provides intelligent automation to deliver operational efficiency and agility at scale
The need to cost-effectively manage and protect data has never been more important—it’s also never been more challenging. Today’s data management technologies suffer from at least one of these four challenges: cloud-native but not multi-cloud, functional silos that create point solutions, a passive approach to cyberthreats, and manual operations that limit agility.
Cloud-native or multi-cloud—Today’s data management solutions are either cloudnative and work efficiently within a single cloud but won’t scale across multiple clouds, or they provide multi-cloud support with centralized control but consume excessive and costly resources within each cloud. In both cases, operational costs are higher than desired.
Functional silos create point solutions—Today it’s not uncommon for cloud architects, application developers, data scientists, and others to implement their own data management solutions, creating a proliferation of point solutions that limit centralized governance.
Passive cyber-resiliency—Most data protection technologies today take a passive approach to protecting data by allowing data restoration only after an attack has occurred, resulting in unplanned downtime.
Manual operations—Today’s enterprise data management solutions offer programmability but the dominant approach to deploying and maintaining these solutions is still manual, which slows operational agility.
With 80 percent of enterprises accelerating their multi-cloud strategies, a new approach to data management is needed.
According to the Puppet “2021 State of DevOps” report1, manual operations increase IT costs by 50‒90%. For years, Cohesity customers have used API-enabled services to automate operations. And although automation improves operational agility and efficiency, it also requires maintenance to keep pace with environmental changes.
To unlock the full benefits of the cloud, including operational scale and agility, technologies must operate autonomously. Cohesity is planning for a future where data management just happens, transparently and autonomously with no human involvement and without sacrificing human oversight. By harnessing artificial intelligence (AI) and hyper-automation combined with an elastic, programmable, multi-cloud-optimized technology, our strategy will provide the industry’s first AI-powered autonomous data management solution delivered on an elastic, multi-cloud-optimized platform.
Consider how you might discover a new application that has been deployed to the cloud. Would you know to start protecting its data with the appropriate recovery time objective (RTO) and recovery point objective (RPO)? Are the right resources being provisioned?
Without the right technology to surface such intelligence and optimize operations, we can only rely on manual oversight. And unfortunately, humans can be the weakest link, especially in environments where swift and data-driven decision-making is critical to achieving the desired business and operational goals.
The panacea for data management in a complex, hybrid, multi-cloud environment is to operate autonomously. In other words, minimizing the need for manual operations by combining data-driven intelligence with hyper-automation.
When we achieve true autonomous data management, the modern business will benefit from data management that self-provisions, self-optimizes, and self-heals in multi-cloud environments (see Figure 1).
Putting this strategy into practice, the example in Figure 2 follows an App Developer who has a new application to deploy. Today’s enterprise data management solutions may have automated some workflows but they still require manual intervention and handoffs throughout the process that are inefficient, time-consuming, and open the door for human errors. Autonomous operation eliminates the manual steps and protects the application without any additional steps required by the App Developer or the Data Protection team, creating a more performant and secure environment.
Cohesity is redefining enterprise data management for hybrid, multi-cloud environments. To address these challenges, we have introduced Cohesity Cloud Scale Technology as the foundation for powering operations in the future.
Cohesity Cloud Scale Technology is a new generation of the proven NetBackup architecture. Cloud Scale Technology employs technologies commonly found in modern web-scale services to provide elastic service that is also programmable and portable. By containerizing Cloud Scale Technology’s services such as backups, snapshots, and deduplication, Cloud Scale Technology enables services to grow and shrink based on load. In addition to service elasticity, containers also enable portability to work consistently within multiple clouds and provide greater service resiliency. Combined with automation, multi-tenancy, and subscription-based services, Cloud Scale Technology enables Cohesity AltaTM Data Protection and NetBackup to operate more efficiently (see Figure 3).
Although operating more efficiently in multi-cloud environments controls costs and improves ROI, proactively delivering cyber resilience reduces the likelihood and impact of cyberattacks. Cohesity combines AI-powered anomaly detection with event-driven malware scanning to proactively identify potential threats. If an attack occurs, flexible recovery options help organizations restore workloads to alternate clouds as needed, minimizing downtime.
Powered by its cloud-native architecture, Cohesity enables enterprises to operate efficiently across multiple cloud environments while strengthening cyber resilience. To achieve greater operational agility and efficiency, organizations can also leverage automation to simplify data protection and management.
Organizations accelerating digital transformation need modern data management built for hybrid and multicloud environments. Cohesity delivers an AI-powered data security and management platform that helps organizations protect, secure, and recover their data while simplifying operations across on-premises, edge, and cloud environments. With intelligent automation, cyber resilience, and flexible deployment options, Cohesity enables enterprises to confidently manage and protect their data wherever it resides.
Cohesity has been ranked a Leader in the Gartner Magic Quadrant for Enterprise Backup and Recovery for 17 years running. We’ve helped the largest companies protect their data from the edge to the core and across multiple clouds, and we welcome the opportunity to work with you.
With 100 exabytes of information currently under management, Cohesity gives enterprises a simple and powerful way to ensure the integrity and availability of their data.
Join us on the journey as we redefine data management for the next decade: visit www.cohesity.com to learn more
