See All Locations
Growing dependence on digital services has increased the business and societal impact of cyber threats, as shown by recent ransomware incidents and operational mistakes that disrupted public services, including healthcare. In response, governments are strengthening regulatory expectations for digital resilience, highlighted by the EU’s NIS2 Directive and the DORA Regulation for the financial sector. Cyber resilience therefore requires more than prevention: organizations must be able to respond and recover quickly when incidents occur.
Modern resilience depends on cloud backup solutions that protect not only business data, but also the configuration and control data that defines virtualized and cloud infrastructure, plus applications. “AI-enabled” cloud backup for cyber resilience is framed as a set of capabilities spanning backup, recovery, and service restoration across hybrid IT into the cloud, with near-zero recovery time targets, nondisruptive testing, and long-term retention. Because ransomware is a dominant risk driver, advanced protections such as immutable and air-gapped backups and proactive scanning are positioned as essential, alongside ease of deployment, strong security, and compliance support.
A key market trend is the incorporation of machine learning and AI—especially generative AI—into backup and disaster recovery tools. While ML is commonly used to detect malware or anomalous behavior, AI is described as enabling more complex functions: classifying data sensitivity and required protections across storage types, locating and extracting specific data from backups/archives, and assisting restoration and recovery workflows. Longer term, AI-driven systems are envisioned to take resilience objectives, compliance requirements, and cost constraints and then propose, evaluate, and implement both technical elements and supporting manual processes.
The market is mature but consolidating, with growth in multi-cloud and SaaS protection, BaaS/DRaaS offerings, and increasing (though still limited) cross-cloud support from major hyperscalers. Selecting the right architecture, deployment model, integration approach, and tested incident-response alignment is emphasized as critical to meeting RPO/RTO and regulatory demands.
