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DLP or Data Loss Prevention is a set of security techniques to identify, control and protect information in order to prevent data leaks and data loss. DLP tools are monitoring, detecting, and blocking sensitive data while in use (endpoint actions), in motion (think network traffic), and at rest (like during storage).
Data leak and data loss are often used interchangeably but refer to slightly different incidents.
Usually, Data Loss Prevention software aims at reducing the risk of all of the above.
2021 has unfortunately been a very prolific year for data leaks and data breaches. This year alone, our developer advocate dived deep into the Twitch leak, the Codecov supply chain breach, the Indian government breach, and the United Nations data breach.
In 2017, the leaders of Gartner’s Magic Quadrant for Enterprise Data Loss Prevention software were Symantec, Digital Guardian, Forcepoint, and Intel Security. But additionally, to this view of the market, there are many sub-types of software and products that can prevent data loss, for example:
On the one hand, in their 2020 “Cost of a Data Breach Report 2020”, the Ponemon Institute estimates that the average cost of a Data Breach in the US is $9.05M. That’s why organizations take security threats very seriously.
On the other hand, Software pricing can vary significantly depending on whether the product is on-premise or cloud-based, according to TrustRadius. Cloud DLP software pricing can range from $5/seat/month to $50+/seat/month.
Data Loss Prevention is not only a matter of tools. It also directly impacts people in the company and its internal policies. A good DLP implementation usually contains these 3 steps: