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Table of contents<\/p>\n
The threat of cyber theft is real and every organization today takes all necessary precautions to protect itself and its sensitive data from hackers. However, hackers are a different breed, constantly devising new methods to exploit vulnerabilities and gain access to a company\u2019s data.<\/p>\n
One of the easiest ways to do this is through employees\u2019 computers. Imagine this scenario: you have two employees, one with a busy schedule that sees him working late into the night while the other has fewer responsibilities and has a more structured work day, with consistent office hours. However, the company\u2019s cybersecurity team noticed unusual activity on the second employee\u2019s laptop, well outside normal work hours and late in the night. There was an attempt at breaching the laptop and accessing confidential company data that the user had no reason to access.<\/p>\n
How was the security team able to detect and flag the laptop so accurately? This company was tracking employee computer activity and had equipped all laptops with cybersecurity systems that detect any changes in user behavior. Deviations are noted, and by applying ML and domain knowledge, the system was able to thwart the attempt quickly.<\/p>\n
Now let\u2019s talk about how a simple protection method and regularly monitoring employee computer activity can help intuitively detect anomalies in working hours and ensure data security. But first, a little background.<\/p>\n