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Availability of Panzura Detect and Rescue Near Real-Time Ransomware Detection and Recovery Solution

Offers near real-time ransomware threat detection and expert-guided rapid recovery, allowing businesses to take proactive stance vs. mounting threat of ransomware.

Panzura, LLC announced the availability of Detect and Rescue.

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This solution offers near real-time ransomware detection capabilities, enabling businesses to take a more proactive stance vs. increasing ransomware threats. By combining AI-infused detection software with expert-guided recovery, Detect and Rescue adds layers of ransomware resilience to the company’s hybrid cloud data platform, Panzura CloudFS. In the event of a ransomware breach, average recovery time is slashed from multiple days to a mere hours, significantly mitigating the risk associated with ransomware incidents.

The launch of Detect and Rescue comes at a time when the ransomware threat is greater than ever. According to a 3Q23 Global Ransomware Report from Corvus Insurance, ransomware attacks saw a 95% increase between 2022 and 2023, and Sophos estimates that 2/3 of organizations globally are now directly impacted by ransomware threats each year. Nearly a 3rd (32%) of these companies pay ransom funds to recover their data.

To date, no organization that followed Panzura’s best practices guidance has lost data to ransomware while using Panzura CloudFS,” commented Don Foster, CFO.

The average time it takes for organizations to recover from a ransomware attack and get back to business as usual is 21 days, but it can often take much longer. With Detect and Rescue, suspicious behavior and patterns trigger automated alerts and interdiction within minutes, containing the risk while slashing the time to intervention and remediation. This helps organizations evolve robust passive protection – via the immutable data storage provided by Panzura CloudFS – into dynamic, active protection.

When it comes to ransomware recovery, time really is money,” said Dan Waldschmidt, CEO. “The speed at which organizations can neutralize and recover from a ransomware threat is absolutely critical to any data protection strategy. Detect and Rescue applies machine learning to take roughly 12 billion data snapshots on any given day, giving us an incredibly accurate benchmark from which to identify anomalous patterns and potential threats.

Ransomware now makes up nearly a quarter of all breaches, with enterprise storage systems being a prime target given the masses of valuable unstructured data they hold. Detect and Rescue provides resilience vs. all known – and unknown  threat families by layering active detection on top of the company‘s file storage architecture to deliver AI-infused ransomware resilience through a combination of cloud-native software and expert assistance.

Waldschmidt continued: “Moving forward, organizations must utilize both robust, immutable protection, as well as added layers of resilience like Detect and Rescue, which improves ransomware monitoring, delivers real-time alerts, and can dramatically reduce any downtime resulting from the threat of ransomware.”

The National Institute of Standards and Technology (NIST) also advocates that infrastructure and operations teams within organizations take an ‘active defense’ approach to cybersecurity, developing synchronized, real-time capabilities to discover, detect, analyze, and mitigate threats and vulnerabilities. In line with NIST guidelines in its new Cybersecurity Framework, Detect and Rescue is key to helping businesses identify, detect, respond, and recover from cyberattacks at unparalleled speed.

To date, no organization that followed Panzura’s best practices guidance has lost data to ransomware while using Panzura CloudFS,” commented Don Foster, CCO. “The launch of Detect and Rescue provides our customers’ active monitoring for their Panzura CloudFS environment, doubling down on their ability to detect and contain an attack at a time when businesses are looking for intelligent ways to provide new levels of resilience to their sensitive data.

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