A forecast is a model-based estimate of future outcomes. In cyber security, it may predict likely attack volume, breach costs, downtime, or the impact of new threats. It is not the same as a measured loss tally, because it depends on assumptions, datasets, and model design.
Forecasts matter because they influence budgets, staffing, insurance, and executive risk decisions. Security teams use them to plan capacity, justify controls, and prioritize resilience work such as backups, monitoring, and incident response. Attackers and analysts also rely on forecasts to anticipate how defenders may react, which targets are most valuable, or where disruption could spread. The key defense lesson is to treat forecasts as planning inputs, not proof. Good practice is to compare them with local asset inventories, incident data, and validation tests so decisions are grounded in evidence rather than fear.