Plan Disruption Probability (PDP): A CISO’s Guide to Linking Cyber Risk to Business Strategy.
This article introduces a simple yet effective method for calculating and estimating capacity, offering actionable insights to optimize resource allocation and prioritize work. By leveraging this approach, your team can transition from reactive firefighting to proactive planning, reducing long-term risks and enhancing security outcomes.
Proactive Capacity represents the portion of a team's resources available for forward-looking initiatives that reduce future risks and drive strategic improvements, rather than being consumed by reactive tasks. Estimating the probability of sufficient proactive capacity is essential to ensure your team can meet long-term security objectives.
Here’s how proactive capacity is calculated:
Reactive workload represents the total time spent addressing unplanned, and other expected incoming events. It is calculated as:
This formula highlights the relationship between how often events occur and the effort required to manage them. Understanding these factors enables teams to quantify their reactive workload and identify opportunities for optimizing time allocation.
Team capacity reflects the total available working time, adjusted for real-world factors like vacations, sick leave, and other commitments. Recognizing that uncertainty is inevitable, we incorporate a confidence level to account for variability in these estimates. Use the calculator below to experiment with different values and observe how they influence your team's capacity.
By understanding the factors that affect your team's proactive capacity, you gain insight into the "levers" you can pull to optimize your team's effectiveness at managing your organization's future risk.
For example, a high work-event arrival rate may indicate the need for intervention to address the root cause of frequent events. Introducing an effective patch management process can reduce the occurrence of vulnerabilities, while implementing a robust Secure Development Lifecycle (SDLC) program can proactively address security flaws earlier in the development process, reducing event volume.
If the real driver of low proactive capacity is the time it takes to process work events , opportunities to improve this metric may include:
Understanding and quantifying your proactive capacity allows you to make data-driven decisions that balance the demands of today’s reactive workload with the need to build resilience and reduce future risk.
By regularly measuring your team's proactive capacity and modeling its drivers, you can:
Proactive Capacity isn’t just a metric—it’s a strategic tool for transforming how your team operates and ensuring your organization stays ahead of emerging threats. By shifting focus from firefighting to proactive risk reduction, you position your security program as a driver of long-term success.
Start by measuring your team's current proactive capacity. Use the insights gained to create a plan for improving efficiency and tackling the root causes of a low proactive capacity. Remember, the goal isn’t perfection—it’s continuous improvement that empowers your team to make meaningful progress toward reducing risk and enhancing security outcomes.