Insider threat has been identified as one of the most complicated cybersecurity issues, with 76% of organizations finding an increment in insider threats than five years ago, yet, less than 30 percent feel they are prepared with the proper tools to deal with it. According to recent data, organizations are losing an average of $17.4M in insider threats with credential theft having an average cost of $779K single event.
For decades, the industry has focused on controls: firewalls, SIEMs, IAM, EDR, SOCs. These remain essential, but they are no longer sufficient on their own. The convergence of AI, hyper-connectivity, cloud, and geopolitical uncertainty has fundamentally changed both the threat landscape and the expectations placed on cyber leaders.
Artificial intelligence is rapidly becoming the backbone of modern cybersecurity operations. From automated threat detection to predictive risk modeling, AI systems can analyze millions of data points in seconds, a task that would take human teams weeks or months. Yet, as powerful as AI has become, it remains a tool, not a decision-maker.
