In the context of growing threats to information security, the issue of data leakage control and corporate information protection is becoming critically important for any business. The solution to this problem is DLP (Data Loss Prevention) systems, designed to prevent unauthorized transfer of confidential data outside the organization. Russian development — DLP system "Stakhanovets" offers a comprehensive approach to solving these problems, combining powerful tools for control, analysis and protection of information.
How it works?
"Stakhanovets" is not just a tool for monitoring employee work, it is a multifunctional system capable of solving a wide range of tasks in the field of information security. It allows you to:
- Prevent data leaks through various communication channels, including email, instant messengers, social networks, USB drives and printers.
- Identify insiders by monitoring for suspicious employee behavior that may indicate intent to steal or disclose confidential information.
- Analyze staff activity and evaluate work efficiency, identifying unproductive use of working time.
- Protect trade secrets and other confidential information by preventing unauthorized access and distribution.
The peculiarity of "Stakhanovets" is control of employees' work and the use of patented intelligent modules based on machine learning. This allows the system to not only detect pre-defined patterns of suspicious activity, but also to identify new, previously unknown threats. Thanks to machine learning, the system constantly adapts to changing conditions and improves its anomaly detection algorithms.
Key features of Stakhanovets:
- Control of communication channels. Monitoring of email, instant messengers, social networks, web traffic, USB drives and printers.
- User behavior analysis. Identify suspicious activity such as transferring large amounts of data, copying files to USB drives, or visiting suspicious websites.
- Work time control. Accounting for the start and end time of the work day, analysis of the use of programs and websites, measuring the time spent on performing official duties.
- HR analytics. Collecting and analyzing information about employee behavior to assess the overall effectiveness of the work process and identify problem areas.
- Blocking unauthorized actions. Possibility of blocking data transmission via certain communication channels, prohibiting the use of certain programs and websites.
- Flexible configuration of security policies. Ability to configure rules for control and protection of information in accordance with the needs of a specific organization.
- Compatibility with Russian software. Support for domestic operating systems AstraLinux, RedOS, AlterOS, AltLinux (BaseAlt, Basal SPO), Atlanta, Rosa OS, Inferit (MSVSfera), with PostgreSQL and Jatoba DBMS, and communication systems eXpress, TrueConf, Bitrix, Mail.ru Agent, VK Teams (Cloud), Sber.Jazz, MTS Link.
Advantages of "Stakhanovets" over other DLP systems:
- Russian development. "Stakhanovets" is a domestic solution, which ensures independence from foreign suppliers and compliance with the requirements of Russian legislation.
- Comprehensive approach. "Stakhanovets" offers a wide range of information control and protection tools, covering all major data leakage channels.
- Intelligent modules based on machine learning. Using machine learning allows the system to identify new and complex threats that cannot be detected by traditional DLP systems.
- User-friendly interface. "Stakhanovets" has an intuitive interface, which makes it easier to set up and use the system.
So the DLP system "Stakhanovets" is an effective and reliable solution for protecting information and monitoring employees' work in modern conditions. Thanks to a wide range of functions, intelligent modules based on machine learning and support of Russian software, "Stakhanovets" is the optimal choice for organizations seeking to ensure the security of their data and improve the efficiency of their staff. Using "Stakhanovets" allows not only to prevent data leaks and identify insiders, but also to increase labor productivity and optimize business processes.