For example, during the testing of emotion assessment technology in the corporate network of a large company, the following case was discovered. The DLP system of one of the employees of the development department began to clearly detect emotions of discontent and anger in communications. Information security specialists took the developer under special control and raised his correspondence. It turned out that the employee wrote negative reviews about the company in a messenger in a thematic chat for IT and HR specialists and disclosed information about working conditions and salaries in his department.
Correspondence with a colleague was also found, in finland whatsapp data the employee discussed the developments of the current employer and the possibility of leaving for a competitor. It turned out that the reason for everything was a refusal to promote. A conversation was held with the developer, after which they parted ways with him. As a result, it was possible to stop potential threats from a disloyal employee.
Conclusion the demand for DLP solutions with technologies for analyzing the behavior and emotional state of employees is growing rapidly. They are mainly of interest to large companies for which the influence of the human factor is critical and identifying insiders is an integral part of the security service. Today, companies need not only a primitive system that can block the transfer of information depending on the security policy settings, but also a powerful analytical tool that will provide detailed information to identify dishonest employees. Together, technologies for analyzing the actions and emotions of personnel allow security specialists to make accurate forecasts and prevent impending incidents in advance.
According to Zecurion specialists
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