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CISOs To USE Machine Learning In Battle Against Ransomware

A new survey finds that two-thirds of CISO respondents plan to use data analytics/machine learning tools to detect suspicious activity over the next year.

Over 67 percent of CISOs plan to embrace new technology to detect ransomware activity over the next year, including machine learning tools. In research conducted by Evaluator Group, earlier detection of ransomware corruption and support for faster discovery of the last clean backup were the top analytics requested.

The survey of 163 CISOs defines the top data management challenges, at the behest of Index Engines.

“Machine learning and analytics are critical in the race against cyber criminals and CISOs have realized this,” said Jim McGann, Vice President of Business Development and Marketing at Index Engines. “Ransomware attacks are getting more sophisticated, evading thresholds and metadata-level security tools. Machine learning and analytics can observe data, look deep into files and make deterministic decisions on whether it’s been corrupted by ransomware or give you confidence that it’s clean for recovery.”

Stopping Ransomeware Attacks Before They Start

CISOs struggle to detect attacks and find the last known good copy of data for recovery, the study found, along with bare minimum recovery expected to take hours with full recovery expected to take weeks or months often resulting in data that is forever lost due to malicious corruption.

Currently, security professionals lack in-house ability to use deep forensic analysis to determine what happened and how to recover intelligently, the report stated. Only 11% of respondents indicated they have all the capabilities they need from their current vendors.

Two-thirds of the respondents said they plan to add data analytics and/or machine learning tools to detect suspicious activity over the next year. More than half said they planned to add data loss prevention software and tools to continuously monitor for malicious software. Rounding out the top five choices were audit data for sensitive content (48%) and data forensics analysis for post-ransomware attack (47%).

Budgets are increasing to support the increasing sophistication of ransomware attacks, the report showed, with 84% reporting their cyber security budget is increasing this year, with 49% of budgets increasing up to 10%. Only 12% said it would increase more than 25%, the same number who said there would be no change. Only 4% said their cybersecurity budget is decreasing.

To read the full report, go to: https://go.indexengines.com/eg_data_management_challenges_CISO

Business Resiliency, CISO, cyber resiliency, Cybersecurity, Data Recovery, Emergency Preparedness, Index Engines, machine learning, ransomware, resilience, security, security professionals

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