Insider threats are the biggest cybersecurity threats to firms, organizations and government agencies. This is something you hear a lot at security conference keynotes and read about in data breach reports, white papers and surveys — and these insider threats are becoming increasingly more difficult to detect and prevent, as well as more frequent.
This seemingly unstoppable growth accentuates the problem and shortcomings of current solutions, and warrants the need for new defensive technologies to detect and stop the digital daggers aimed at our backs.
Data science — the application of mathematics, big data analytics and machine learning to extract knowledge and detect patterns — is an emergent, advanced technology area that is proving its effectiveness in the realm of cybersecurity, including fighting insider threats. Here’s how it succeeds where legacy solutions fail.