Big data is a big responsibility. Experience in data leakage protection for analytical systems

When developing analytical systems/platforms, we integrate a significant amount of data into a single platform, some of which may be strictly confidential or, for example, belong to our clients (personal data). Besides the obvious benefits, we also have significant drawbacks: a large amount of confidential personal data in one place, with relatively flexible access for a large number of employees, especially if the company is not a "bank" (where workstations do not have access to the Internet), may lead to data leakage from corrupted employees who can share data with 3rd parties/companies.

Alexey will talk about his experience in implementing technical and administrative measures that helped protect data from analytical systems from potential theft in a short period of time, while at the same time not breaking the company's existing business processes.

The implemented changes affected the work of more than 3,000 company employees (reporting users, data analysts and engineers).