Beyond Revenue as a Proxy for Risk

For years, the industry-standard belief has been that a company’s annual revenue is the most predictive factor of cyber risk: the “size of the prize” dictated the probability of an attack. Under this model, cyber risk management uses broad assumptions and proxy measurements; essentially treating risk as a league table of financial success.

Our latest research with the Arditti Center of Risk Management at DePaul University, Chicago, reveals that revenue is a blunt instrument for predicting loss. After analyzing 6,000 public companies and thousands of breaches from 2018 to 2026, the data proves that company size does not equal probability of attack.

By shifting the focus from financial proxies to “Units of Attacker Behavior”, we can now identify the activity of adversaries working to thwart your defenses with enough precision to predict a breach three months before it occurs.

This visibility transforms the C-suite’s role. Organizations no longer have to react to a breach already in progress; they can move to a pre-emptive position with a 90-day warning track to remediate vulnerabilities. We are moving beyond asking “if” a breach will happen to seeing exactly “how” it is forming, allowing leaders to act on intent rather than outdated assumptions.

Download the report to find out:

• Why companies with elevated attacker activity are nearly nine times more likely to suffer a breach than the baseline, regardless of revenue.
• How predictive power reaches 10x the industry benchmark in high-intensity scenarios.
• How to use the lead-time advantage to stop an attack 90 days before a breach.
• Data-backed proof that revenue is not the most reliable predictor of cyber loss.
• How to transition your security posture from reactive defense to intelligence-led pre-emptive cyber risk management.