Arctera, a global leader in data management, has introduced new AI-powered features within its InfoScale platform designed to identify ransomware indicators in real time and automatically trigger responses to contain the impact of an attack.
According to Bhooshan Thakar, GM and VP of Data Resilience at Arctera, anomaly detection for many organizations has been limited. He noted that focusing solely on protection data delays attack recognition until a backup is complete, and even when primary environments are monitored, a focus on storage infrastructure or a single vendor’s systems provides an incomplete picture. Thakar emphasized that monitoring the full stack in real time allows Arctera InfoScale to detect ransomware where it affects an organization, automatically enabling administrators to limit damage and prevent downtime, providing enhanced resiliency for any application across the entire ecosystem.
Key new AI-powered capabilities in Arctera InfoScale include Real-Time Data Behavior Analysis, which detects attacks by monitoring live data-access activity across workloads and environments. Adaptive AI Learning continuously refines expected-behavior baselines to enhance detection accuracy and minimize false positives. Context-Rich Alerts correlate anomalies to specific applications, volumes, or clusters, aiding teams in quickly isolating and investigating issues. Additionally, Application-aware Actions enable predefined recovery policies to be triggered when an anomaly is detected.
Christophe Bertrand, Principal Analyst at theCube Research, highlighted recent research findings indicating significant challenges for end-users in protecting mission-critical data assets. He noted that enterprises now view full-stack visibility and application awareness as crucial for recovery planning, despite many still relying on backup-centric detection. Bertrand stated that AI-powered tools offering advanced operational awareness—such as detecting, isolating, and initiating recovery from data anomalies before they impact availability or data integrity—represent a significant advancement in mitigating the effects of ransomware and other cyber risks.
These new detection features are integrated with Arctera InfoScale’s core data resiliency, high-availability, and disaster recovery capabilities. This integration establishes a closed-loop cyber resilience system that not only identifies threats but also initiates responses to contain and recover from them.
Thakar further explained the importance of speed, stating that AI-powered anomaly detection in Arctera InfoScale can detect suspicious behavior within seconds of primary application data being written, offering a critical advantage over backup-triggered anomaly detection. He stressed that this rapid detection is vital for stopping ransomware spread, data exfiltration, and cascading failures.
Arctera InfoScale’s new AI-powered anomaly detection capabilities are immediately available, supporting physical, virtual, and hybrid cloud deployments.
Arctera, established in 2024 from Veritas Technologies, a leader in secure multi-cloud data resilience, specializes in helping organizations manage data trustworthiness, access, and illumination from creation to retirement. Comprising three business units—Data Compliance, Data Protection, and Data Resilience—Arctera serves tens of thousands of customers globally, including 70% of the Fortune 100, providing solutions for managing their data assets.
