Protect and secure your data from cyber attacks
Data Protection
Data Security
Data Insights
The 5 Steps to Cyber Resilience
Cloud & SaaS
Enterprise
Industries
Cyber resilience is a concept that goes beyond traditional backup schemes to include the ability to withstand, respond to, and recover from cyber incidents without disrupting business operations. This means safeguarding your company’s data assets against ransomware attacks, insider threats, and system failures while ensuring rapid, reliable recovery.
Choosing the best data protection platform for cyber resilience has become a business continuity imperative, not just a one-and-done decision for IT. Organizations need a platform that combines security and recovery capabilities into a unified system, with visibility to operate across on-premises, hybrid, and multi-cloud environments.
Several vendors on the market offer data protection platforms designed with cyber resilience in mind. These solutions combine backup, security, and recovery capabilities in their own unique ways.
Cohesity
Cohesity provides a unified data security and management platform integrating immutable backups, AI-driven threat detection, and clean room recovery in one. Its strengths lie in simplifying cyber resilience across hybrid environments, though organizations with highly specialized legacy systems may require additional integration planning.
Rubrik
Rubrik is known for its security-first architecture, with strong ransomware detection and zero-trust design principles front and center. It performs well in highly regulated environments, but its pricing model and deployment complexity can be considerations for smaller teams.
Veeam
Veeam offers broad compatibility and a large ecosystem, making it a flexible choice for diverse IT environments. This said, some advanced cyber resilience capabilities rely on integrations rather than being fully native to the platform. This is something to consider in terms of compliance tracking.
Dell PowerProtect
Dell PowerProtect is tightly integrated with Dell infrastructure, making it a strong option for organizations already invested in their ecosystem. While it delivers robust enterprise capabilities, it may be less flexible in more heterogeneous environments.
NetApp
NetApp emphasizes cloud-centric data resilience, particularly for organizations operating heavily in hybrid and multi-cloud architectures. Its strengths lie in storage and cloud integration, though it may not offer the same level of end-to-end orchestration as some competitors.
Commvault
Commvault provides a comprehensive feature set spanning backup, security, and compliance. While powerful, this breadth can introduce operational complexities and a steeper learning curve for teams without dedicated expertise.
Not all data protection platforms are built with cyber resilience in mind. Traditional backup tools focus on data retention, while cyber security platforms focus on defending your network perimeter from outside attackers. A truly cyber-resilient data protection platform actively defends, detects, and recovers from a wider variety of cyber incident types.
The difference lies in integrated capabilities. The best data protection platform for cyber resilience will have features and integrations working together to reduce risk and accelerate recovery. These platforms embed security into the full data lifecycle rather than treating it as a separate layer. Below are the five core capabilities defining a truly cyber-resilient data protection platform.
Immutable backup storage ensures that once data is written, it cannot be altered or deleted, even by malicious actors. This is essentially a locked layer of protection surrounding your backup data files and providing a foundational defense against ransomware, as this attack vector often targets backup systems directly. Enforcing immutability policies helps clean recovery points remain intact, dramatically increasing confidence during a recovery scenario and greatly reducing the risk of reinfection.
Automated threat detection uses a combination of artificial intelligence (AI) and behavioral analytics to identify anomalies in backup data, helping security teams prioritize response efforts and isolate affected systems before impacts can spread. Anomalous patterns can include unusual encryption activities, unexpected data changes, or out-of-scope data movement indicating exfiltration may be occurring. Data security solutions can flag potential attacks earlier (often before they have a chance to spread) by integrating threat detection directly into the data protection layer.
Isolated recovery environments, often referred to as clean rooms, allow organizations to restore and validate data in a secure, segregated space before returning it to production. This isolation is essential for verifying data integrity and testing recovery processes under carefully controlled conditions. Clean room data recovery prevents reinfection and ensures recovered data is free from any malware remnants.
Recovery orchestration automates the process of restoring systems, applications, and data in the correct sequence. This automation transforms recovery from a manual process into a repeatable and policy-driven workflow. This is especially valuable during ransomware attacks, where speed and precision are critical. In complex environments, orchestration ensures consistency and minimizes human error during high-pressure incidents.
Unified management provides a single interface to monitor and manage data protection activities across on-premises, cloud, hybrid, and SaaS environments, eliminating silos and giving teams a holistic view of their data security posture at a glance. This level of end-to-end visibility is essential for maintaining consistent policies and identifying risks across distributed infrastructure.
Many data protection platforms continue to adopt a legacy approach where backup, security, and recovery are handled by separate tools (or even by integrations). While this model may meet compliance requirements, it also introduces operational gaps that become critical during a cyber incident.
Without automation or coordinated orchestration, restoring systems becomes a manual, and often error-prone, process. IT teams must identify clean recovery points, validate data integrity, and rebuild environments under extreme pressure, often without clear visibility into what exactly has been compromised.
Additionally, many such platforms lack isolated recovery environments, increasing the risk of reinfecting production systems. Limited visibility across hybrid environments further compounds the issue by leaving blind spots attackers can readily exploit. The result is longer downtime, higher recovery costs, and more business disruption exactly when resilience matters most.
Evaluating the best data protection platform for organizational cyber resilience starts with understanding your specific risk profile. High-priority workloads, regulatory requirements, and threat exposure should all inform your selection process.
Cohesity delivers cyber-resilient data protection by integrating backup, security, and recovery into a single platform. This unified approach reduces complexity while improving visibility across on-premises, cloud, and SaaS environments. Features like immutable backup storage help ensure your data cannot be altered or deleted by attackers, providing a reliable foundation for your recovery efforts.
The platform also incorporates AI-driven threat detection to identify anomalies in your backup data, helping teams respond earlier in the attack cycle. In the event of an incident, Cohesity supports clean room recovery, allowing you to validate data in an isolated environment before restoring to production.
Automated recovery workflows further streamline the process, reducing manual effort and accelerating time to recovery. Together, these capabilities enable organizations to move from reactive backup strategies to proactive cyber resilience. To explore these capabilities in greater detail, explore our data resilience solution.
