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Cyber-criminals are becoming increasingly adept at hiding their activities, moving around inside business networks before targeting organisations’ backups.
Malware frequently lays undetected for longer than most retention policies, which are typically set for 90 or 180 days. A 2019 study by IBM Security and Ponemon institute showed the average time to detect a breach is 206 days.
If malware has remained dormant for longer than an organisation’s retention policy, it is likely all backups will be infected too.
Without the ability to remove malware from backups, a clean recovery would be impossible.
In the event of an attack, organisations need to restore from backups that they know to be safe.
The National Cyber Security Centre advises deploying different anti-virus and code-checking solutions to scan inbound AND outbound objects at a network’s perimeter as this increases overall detection capability.
Redstor uses machine learning to detect, isolate and remove malware within your backup data. This drastically reduces your chances of inadvertently restoring a malicious file, delivering peace of mind.
Purchased as an add-on, Redstor’s malware detection supports servers, laptops and any end-point machines as well as backups of Microsoft 365 and Google Workspace data.
Our machine-learning model:
• checks for signs of malware • pinpoints files that resemble malware in appearance or behaviour • flags up any suspicious files
• quarantine them before they infect backups or enter systems • alert you with notifications via the Redstor control centre and mobile app • recommend actions to keep backups in a safe state
• validate individual or multiple files by marking them as safe before releasing them into the new backup set • delete files completely so they are removed from the backup set • revert the quarantined files to a previous ‘safe’ version • leave files in the quarantined list
Data belonging to government authorities, education establishments and financial institutions is highly prized by hackers, while organisations using legacy versions of Windows operating systems are prime targets for cyber-criminals due to the comparatively low levels of security on older OS (Windows 7 and below).
The recent increase in cyber attacks following the move to remote working has only exacerbated the risks of falling victim to ransomware.
How the growth in scope and sophistication of malware has led to a need for an additional layer of protection.
Identify and remove threats, using machine learning so that you can rely on malware-free recoveries.
