Pure Storage Unveils New Cyber Resiliency Services to Combat Ransomware

Prakash Darji, GM, Digital Experience, Pure Storage
5 months ago

Pure Storage has introduced three advanced Storage-as-a-Service (STaaS) service-level agreements (SLAs) for its platform: cyber recovery, resilience, and site rebalance. These new SLAs further empower organizations to guarantee outcomes and reduce risk in their critical data infrastructure.

AI is revolutionizing business, and not always for the better. Cyber criminals are increasingly using AI to increase the frequency and impact of cyber attacks, especially ransomware. However, existing IT infrastructure generally lacks flexibility to react to the rapid pace of change required to protect data, and rapidly recover if needed.

The Pure Storage platform delivers agility and risk reduction to organizations with a simple, consistent storage platform and an as-a-service experience for the broadest set of use cases across on-premises, public cloud, and hosted environments. At the heart of the platform, the often imitated but never duplicated Evergreen® architecture brings continuous and non-disruptive upgrades helping enterprises adapt to dynamic business environments. With the industry’s record number of concurrent SLAs, customers get the reliability, performance, and sustainability their business requires.

“As Pure Storage continues to revolutionize enterprise data storage, our mission remains: to provide a simple, flexible, and resilient as-a-service storage platform that not only addresses current data and storage management needs, but mitigates future risk and uncertainty. Through continuously improving services and the broadest set of outcome-driven SLAs, Pure is the only data storage platform future-proofed for innovation,” said Prakash Darji, GM, Digital Experience, Pure Storage.

Further advancing Pure’s existing cyber resiliency offerings, including SafeMode for ransomware recovery, Pure announced new innovations enabled by the platform including:

  • Enhanced Cyber Recovery and Resilience SLA: Building on the first-of-its-kind ransomware recovery SLA, Evergreen//One™ is expanding its coverage to include disaster recovery scenarios as well. This new and improved Cyber Recovery and Resilience SLA delivers a customized recovery plan, ships clean service infrastructure within a defined SLA, provides onsite installation, and supplies additional professional services for data transfer. In addition, Pure will collaborate with organizations to build and maintain a comprehensive cybersecurity strategy. Ongoing quarterly reviews are included to ensure best practices adherence, ongoing risk assessments, and operational security remediation. Organizations can rest assured knowing if an unforeseen disruptive event occurs, Pure will help rapidly restore normal operations, guaranteed.
  • New Security Assessment: The new assessment provides deep visibility into fleet-level security risks and offers actionable recommendations to maximize cyber resilience. Based on aggregated intelligence across 10,000+ environments, the Security Assessment presents numerical scores from 0 to 5 to benchmark the security posture of the entire storage fleet. It also delivers best practices to align with NIST 2.0 standards, advance regulatory compliance, remediate potential security anomalies, and rapidly restore operations if a security-related event occurs. Additionally, the new AI copilot leverages the security assessment to provide Chief Information Security Officers (CISOs) with the visibility into benchmarking their security posture against other Pure Storage customers.
  • New AI-Powered Anomaly Detection Enhancement: Discover threats such as ransomware attacks, unusual activity, malicious behavior, and Denial of Service attacks via performance anomalies. This expands on previously available ransomware detection based on data reduction anomalies. The expanded detection is built on multiple machine learning models running to identify unusual anomalous behavior. The models analyze customer environments with historical data for anomalous patterns based on heuristics of performance as well as user context on how storage is used. Leveraging this capability, customers can identify the last known good snapshot copy to mitigate operational impact by quickly identifying recovery point targets to restore data, reducing risk and guesswork.

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