Data cleansing and preparation tools that validate and ensure that data in central data repositories is properly formatted, accurate, and can be integrated with other forms of data before it is ingested.
Automatic monitoring tools that enable you to detect and monitor user activity across all points on your network and immediately raise an alarm when usage anomalies are detected.
Deploy zero-trust networks that protect not only external network boundaries, but also internal boundaries for specific IT systems and assets that only specific users have access to.
SD-WAN (software-defined wide area network) and SASE (secure access service edge) solutions that extend data security beyond internal corporate networks and offer advanced tools and automation to ensure the security of cloud data operations.
Automated software security update systems that distribute updates to end-user devices.
IT device tracking to locate lost or misplaced devices and disable them.
Cloud-to-cloud and cloud-to-data center data encryption to ensure data security as it moves.
The Harvard Business Review study mentioned slovenia mobile database noted that when employees knowingly violated corporate security and governance policies, the three most common reasons were: “to better perform tasks related to my job,” “to get something I want,” and “to help others do their jobs.”
By leveraging automation and ensuring that users are not required to do anything more than they would normally do to keep data secure and private, IT can make DG as non-invasive as possible for users.
There is a caveat, however: users cannot be released from participation and responsibility for DG.
Following policy is the best way to ensure a robust DG, but periodic third-party social engineering audits may be another approach.
Having users participate in these checks is a small "ask," and if it helps a company save millions or even billions in fees that could result from a data breach, it's certainly worth it.