Digitizing Cyber Risks: How to Communicate Cyber Threats to Boards in the Language of Money

Solar has published a detailed guide on digitizing cyber risks, explaining how to translate technical cyber threats into financial terms that resonate with boards of directors and investors.

Cyber Risks as Operational Risks

Cyber risks are defined as the potential for events that compromise the confidentiality, integrity, or availability of information assets. These risks fall under operational risk but feature unique traits: high speed of impact spread, scalability across infrastructure, and reliance on external suppliers and cloud platforms.

Threat actors include external groups such as hacktivists, ransomware operators, and nation-state actors, as well as internal actors ranging from negligent employees to privileged insiders.

Qualitative and Quantitative Assessment Approaches

Assessment methods combine qualitative expert judgment with quantitative modeling. Qualitative analysis uses workshops, Business Impact Analysis (BIA), BCP and DRP plans, and industry benchmarks to produce risk ratings and heat maps.

Quantitative methods rely on the FAIR taxonomy, statistical modeling, and Monte Carlo simulations when sufficient incident data exists. A hybrid approach fills data gaps with expert input while documenting assumptions for later refinement.

Four-Stage Digitization Process

• Identification of critical assets, business processes, and attack surfaces.
• Analysis of incidents, threats, vulnerabilities, and threat actor profiles to estimate probability.
• Conversion of scenarios into financial figures covering downtime costs, investigation expenses, recovery efforts, regulatory fines, lost revenue, and reputational damage.
• Continuous monitoring and recalculation of estimates as the threat landscape and business environment evolve.

Expected annual losses are calculated using the formula ALE = ARO × SLE, where ALE represents annualized loss expectancy, ARO is the annualized rate of occurrence, and SLE is single loss expectancy.

Business Value and Integration

The quantified outputs enable organizations to calculate ROSI (Return on Security Investment) and compare protective measures against budget constraints. They also allow cyber risks to be incorporated into enterprise risk management (ERM) alongside other operational risks.

Regulatory requirements and the growing financial impact of incidents on revenue, profit, and business continuity make this financial translation increasingly necessary for strategic decision-making.