Beyond DLP: Embracing a Multi-Layered Strategy for Personal Data Security

Data, especially personal data, drives the digital world.
While digital systems continuously gather and use personal data to enhance user experience, there is a significant issue.
The alarming frequency of data breaches indicates that the methods used to collect, store, process and use personal data often lack adequate security measures.
The Role and Limits of DLP. Solutions like data loss prevention, which are specifically designed to prevent data leaks, play an important role-but they are not the only necessary component in a robust data protection strategy.
These systems enhance the capabilities of DLP solutions, but they are frequently set up independently, collectively creating a comprehensive data protection ecosystem.
When protecting personal data, DLP systems' most powerful analytical tools - content analysis and digital fingerprints - are often ineffective.
As a result, most DLP customers employ these tools for monitoring rather than actively blocking data movement, which helps identify and investigate leaks but does not prevent them.
DLP systems identify personal data by analyzing its structure, as each type typically follows a specific format.
Relying solely on DLP tools for data protection is somewhat limited.
Yes, DLP systems offer numerous valuable functions, such as identifying and classifying sensitive data across networks and devices, tracking data movement and usage in real-time, detecting user actions and screen photos through AI-enhanced video cameras, and evaluating data context for more precise classification and control.
To effectively combat data leaks, a range of additional tools is also necessary beyond DLPs' capabilities.
This comprehensive security approach includes the following: IdM - controlling access to company resources that hold and process data.
Masking - responding to data requests, not with complete information but with deliberately altered or masked data.
When a comprehensive data protection ecosystem is in place, attackers face numerous hurdles before successfully transferring data outside the information system.
The attack can be thwarted at any point in this process: Access to data can be denied or restricted, uploads can be blocked or limited, masked data instead of actual data can be uploaded, or the movement of files can be prohibited.
This layered defense strategy effectively disrupts and impedes potential data breaches at multiple stages.
This multi-layered approach to personal data protection is equally effective against both internal attackers and external hackers who have infiltrated the network.
Regularly training employees, fostering a corporate culture that emphasizes adherence to security protocols, and conducting regular drills and tests are essential components in preventing data leaks.
Tools designed to prevent data leaks must align with a company's level of digital maturity and its existing systems for collecting, storing and processing personal data.
Despite the appeal of such straightforward approaches, the complexity of data security demands continuous attention and adaptation far beyond the capabilities of any single, set-and-forget tool.


This Cyber News was published on securityboulevard.com. Publication date: Tue, 19 Dec 2023 14:43:05 +0000


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