Box Announces New Malware Deep Scan Capability in Box Shield To Combat Ransomware
Box (NYSE: BOX) has unveiled advanced updates for Box Shield, enhancing security and threat detection capabilities to combat the rise of ransomware attacks, which surged by 288% in the first half of 2021. Utilizing deep learning technology, Box Shield scans files in near real-time during uploads to detect sophisticated malware and minimize disruptions. Enhanced features include improved anomaly detection, auto-classification of sensitive content, and automated malware recognition, aiming to bolster security for businesses while maintaining productivity. Availability for the new malware scanning capabilities is expected later this year.
- Enhanced malware detection through deep learning technology.
- Near real-time scanning of files at upload to identify threats.
- Auto-classification feature applies security labels to sensitive content, enhancing data protection.
- Improved anomaly detection capabilities for suspicious user behavior.
- None.
Showcases advanced set of updates for threat detection and auto-classification powered by machine learning
“The number of ransomware attacks surged by 288 percent in the first half of 2021 and this will only increase as more businesses go digital,” said Diego Dugatkin, Chief Product Officer at Box. “Our approach to security is to provide customers with one secure platform to manage and secure their content, and Box Shield brings together user-friendly security controls and intelligent threat detection natively into the Box Content Cloud. By leveraging the latest deep learning technology, we are adding an extra layer of threat detection to Box Shield, making it even easier for IT and security teams to identify malware in near real-time without slowing down work.”
“If it seems like the threat to our data has gotten dramatically worse as of late, it is because it has,” said
Strengthening malware detection in Box Shield with deep learning
Bolt-on malware detection solutions create friction and disrupt work by quarantining potentially malicious content and triggering cumbersome reviews that slow down the business, ultimately leading to teams working outside of secure processes to get work done. Box Shield eliminates these obstacles by natively embedding malware detection into the Box Content Cloud to deliver both a seamless end user experience and near real-time alerts for IT security teams.
At BoxWorks 2021, Box is extending Box Shield’s detection capabilities to identify more sophisticated malware by adding deep learning technology that complements traditional hash-based or file-fingerprint scanning approaches that leverage known malware datasets. Customers will benefit from an additional layer of security that looks inside of individual files to identify malware and then automatically clears the file or blocks the spread of malware in near real-time.
These new capabilities provide customers using Box Shield with higher malware detection rates and fewer false positives. When dealing with billions of files, the benefits to both improved security posture and productivity are significant. Box Shield already scans over 48 billion files a year, greatly reducing content-centric risk and now with malware deep scan, Box Shield will be able to:
- Recognize malicious traits inside content in near real-time by leveraging the latest deep learning models to provide customers with broader coverage of sophisticated malware.
- Extend malware detection to active content in Box as users upload, update, download, preview, share, copy or move content to reduce the risk of malware infection by scanning both new and historical content.
- Analyze external content that is accessed by managed users to expand protection to content that is shared with an organization from an external source.
- Allow admins to occasionally override threat verdicts for low-risk content to avoid disrupting business workflows.
Box today also announced enhanced alerts powered by machine learning for anomalous user behavior like suspicious downloads in Box Shield. Admins will also receive more detailed alerts with context explaining why Box Shield’s machine learning algorithm has deemed certain behaviors as risky. These improvements will better equip admins in their investigation of anomalous behavior and provide granular feedback to train underlying algorithms for their company.
Easily discover more sensitive content with auto-classification in Box Shield
In addition to helping detect and thwart potential insider threats or compromised accounts, Box Shield also uses advanced machine learning to help prevent accidental data leaks through a system of manual and automated security classifications for files, folders, and classification-based access policies. Auto-classification in Box Shield intelligently applies labels to files based on content inside, enabling customers to discover and label sensitive files at scale.
Box Shield helps customers reduce the risk of a data breach by automatically applying classification labels to 1.6 million files containing sensitive content like Personally Identifiable Information (PII). Earlier this year, Box expanded coverage beyond traditional regulated content to intellectual property and now supports more built-in info types like Canadian PII. To ensure files are protected as they move through workflows in Box, auto-classification now extends to active and existing content in Box. Additionally, Box released a deepened integration with Microsoft Information Protection (MIP) that enables customers across the two platforms to ensure that only authorized users get access to confidential data and that sensitive information is not shared unintentionally.
Availability and Pricing
Malware deep scanning and enhanced alerts are expected to be available for Box Shield customers later this year. The auto-classification updates are available for Box Shield customers today.
For more information, join the BoxWorks 2021 keynote and visit the Box blog.
About Box
Box (NYSE:BOX) is the leading Content Cloud that enables organizations to accelerate business processes, power workplace collaboration, and protect their most valuable information, all while working with a best-of-breed enterprise IT stack. Founded in 2005, Box simplifies work for leading organizations globally, including AstraZeneca, JLL, and Morgan Stanley. Box is headquartered in
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