Tag: Data Science

How science can fight insider threats

Malicious insiders pose the biggest cybersecurity threat for companies today because they can cause the most damage, and are much harder to detect than outsiders. According to the 2018 Verizon Data Breach Investigations Report, 28 percent of all data breaches involved insiders and that insiders accounted for 76 percent of all compromised records.

Detecting insider threats using conventional security monitoring techniques is difficult, if not impossible. Data science, however, provides a promising alternative. The emerging field of security analytics uses machine learning technologies to establish baseline patterns of human behavior, and then applies algorithms and statistical analysis to detect meaningful anomalies from those patterns that may indicate illicit behavior.

Read more about how science can fight insider threats on Help Net Security.

Is Data Science the Key to Cybersecurity?

In many ways, fighting cybercrime is a lot like playing “Whack-A-Mole,” the ever popular arcade game. For every threat that is discovered and dealt with, a new one or several new threats — pop up elsewhere. It’s an ongoing battle to try and stay one step ahead of cybercriminals and prevent them from doing their devious deeds, and one that doesn’t show any signs of abating.

Read what exactly is data science and how it can help cyber security on Information Security Buzz.