Remote working has never been more prevalent than it is now in our society due to Covid-19, and even post pandemic it is clear that some companies will continue with policies for remote working and consolidate real estates and offices.
This post is part of a series of short videos related to the topic of remote working.
In this video, we look at the File Fabric’s automatic file event auditing which occurs across all corporate data sets:
To satisfy GDPR and other compliance regimes, companies will need to track who had access to personal data, when, and why.
Authentication and Authorisation to resources is controlled by existing Identity Access Management solutions that a company has in place, but once a user is logged in there is a data governance and compliance requirement to log access to resources. This has to occur wherever the user is and whatever end user client or application the user is using to access the data. The File Fabric’s event audit logging monitors user activities for any and all file events and enables external audit requests and/or subject access requests to be satisfied easily and effectively.
The File Fabric file event auditing enables companies to have complete audit logs for all file events across all corporate data sets whether they are on-premises or on-cloud. This can include why the document was shared, to whom, who shared the document, and when.
In the new remote working paradigm companies / CISO’s are concerned about how they are going to practices effective governance and compliance of data for remote users. The File Fabric is able to provide an effective and transparent solution to this problem.
The audit event feature enables DPO’s (Data Protection Officers,) to easily create reports on data access, data change, devices used etc. It enables companies to demonstrate proof of compliance and, quickly prepare information required for reporting bodies as required.
Additionally the File Fabric can also be configured to output its logs in ‘syslog’ format to work with other solutions such as Splunk or other log aggregators.by
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