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A common approach to safeguarding data is data loss prevention (DLP). Ironically, though, DLP strategies do not offer protections for a lot of common industry and line-of-business applications that really need safeguarding – such as proprietary CAD files and sensitive electronic healthcare records. Plus, these conventional IT controls aren’t really working to deliver the desired result efficiently and effectively. They focus on locking down networks, devices, and people. Once files are moved, shared, or stolen, the data is no longer protected. And because of their inherent complexity and need for continuous monitoring and user training, more than 35% of large DLP implementations fail. The real solution is to enable data to protect itself – a new concept that is fundamentally different from DLP in philosophy and implementation. Self-protecting data “bakes” invisible protection into files of any type and from any application, allowing users to work and collaborate securely – with no changes to how they work. Best of all, self-protecting data remains secure even when it leaves the organization. The chain of custody is easily tracked through forensic logging. And if an employee or contractor leaves, file access can be revoked in seconds. Discover 4 ways self-protecting data flips the script on traditional DLP’s inherent weaknesses.
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