10 Advanced cybersecurity metrics
This chapter covers
- The role of advanced cybersecurity metrics
- AI and predictive analytics in cybersecurity
- Leveraging advanced metrics
- Data-driven approaches for proactive cybersecurity management
The cybersecurity landscape evolves rapidly with advancements in technology. One of the most impactful changes recently is the availability of generative and agentic AI. These technologies offer more sophisticated approaches to cybersecurity. Traditional metrics are still a cornerstone for measuring information security programs. Still, we must balance the cat-and-mouse game of defender (blue team) vs attacker (red team). Advanced cybersecurity metrics provide a richer, more nuanced insight into what is taking place within your organization. The purpose is to help define what is happening, why, who is doing what, and what may happen next.
A key difference between traditional and advanced metrics is their ability to reflect on current and past events, but also to predict and forecast future events, such as threats and vulnerabilities. Here, we will use artificial intelligence and predictive analytics to offer these prescriptive insights. This data-driven foresight is where advanced metrics offer a strategic advantage.