holmdel, new jersey, June 13, 2023 /PRNewswire/ — Over 67% of CISOs Plans to adopt new technologies such as machine learning tools to detect ransomware activity over the next yeara study conducted by the Evaluator Group found to support early detection of ransomware corruption and quick detection of the last clean backup requested by top analysts.
Two-thirds of respondents said they plan to use data analytics/machine learning tools to detect suspicious activity in the next year, making this the most popular of a wide range of options. Choice.
Evaluator Group, commissioned by CyberSense provider Index Engines, conducted a survey of 163 CISOs to define their top data management challenges.® The software detects the signs of data corruption caused by ransomware and facilitates intelligent and rapid recovery.
“Machine learning and analytics are crucial in fighting cybercriminals, and CISOs recognize that,” he said. Jim McGann, Vice President of Business Development and Marketing for Index Engines. “Ransomware attacks are becoming increasingly sophisticated, evading thresholds and metadata-level security tools. Machine learning and analytics allow us to observe data, dig deeper into files, and determine if files have been corrupted by ransomware. It can give you confidence that you are in good standing or that you are in a position to recover.”
The study found that CISOs struggled to detect attacks and find the last known good copy of data for recovery, with minimal recovery expected to take hours and full recovery expected to take hours. was expected to take weeks or months, and in many cases malicious attacks proved to result in permanent data loss. corruption.
Currently, security experts lack the in-house capacity to use deep forensic analysis to determine what happened and how to intelligently recover, the report says. Only 11% of respondents said they had all the features they needed from their current vendor.
According to the report, two-thirds of respondents said they plan to add data analytics and machine learning tools to detect suspicious activity in the next year. More than half said they plan to add data loss prevention software or tools to continuously monitor for malicious software. Rounding out the top five choices were sensitive content audit data (48%) and data forensic analysis after ransomware attacks (47%).
According to the report, budgets are increasing to support the increasing sophistication of ransomware attacks, with 84% reporting an increase in cybersecurity budgets this year, with 49% of budgets increasing by up to 10%. said to be increasing. Only 12% said they would see an increase of 25% or more, and the same number said they would stay the same. Only 4% said their cybersecurity budget is shrinking.
When asked what they most wanted from a cyber resilience analysis, 71% of respondents cited “early detection of cyberattacks”, 43% cited “rapid identification of known good recovery points”, and 41% % cite “Increased confidence that malware has been eradicated”. environment. “
“Organizations need capabilities such as anomaly detection and the ability to find the last known good copy of data to fully recover after an attack,” said a senior analyst at Evaluator Group. Dave Rafo Said. “Data forensics tools and processes focused on analyzing, identifying, monitoring and reporting on digitally stored data can help facilitate successful data recovery.”
To read the full report, please visit https://go.indexengines.com/eg_data_management_challenges_CISO.
SOURCE index engine
