Employee Monitoring During Work Hours, Threat Detection, and Blocking Access to Removable Drives
A municipal enterprise aimed to achieve several goals. First, they wanted to audit the current workload of employees. Second, they sought to ensure higher productivity and reduce costs, as management suspected that employees were spending too much time on entertainment. Third, they needed to close off potential data leakage channels.
After testing several software products, SCOPD was chosen based on positive feedback from the security department staff. The first results became noticeable within a week of starting the testing phase. After six months, there was a significant shift in the employees’ attitudes toward their work and the fulfillment of their duties. All the features of the SCOPD system proved to be in demand and valuable. For instance, when a potential threat is detected, security personnel review the employee’s activity history offline. The “Connection Graph” section between employees is also found to be particularly insightful. Several examples of the system in use: An email attachment containing ransomware was opened, which began spreading across the network. SCOPD allowed the team to quickly identify which computer opened the attachment and isolate it. One employee retained elevated privileges after transitioning to the domain of a higher organization, which they used to install prohibited software (such as torrents), download music files, and perform other unauthorized actions. These extended privileges also posed a risk of leaking commercial information. SCOPD has proven to be the most in-demand tool for the security department and is used for monitoring employee activities, ensuring information security, and protecting commercial secrets. SCOPD enables the company to address a wide range of tasks related to employee control, information security, and commercial confidentiality at a relatively low implementation cost. The installation of the system does not require specialized expertise, and the system is resource-efficient for both the agent and the server side.
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