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The hidden cost in your cyber risk calculations: customer loyalty
In the non-differentiated, highly competitive hotel sector, traditional one-size-fits-all cyber risk models no longer work. While the shift to asset-light, digital-first business models has driven profitability, it has also fundamentally changed the nature of security risk and rendered conventional insurance calculations outdated.
For boards and risk managers to gain an accurate view of risk, they must look beyond the immediate costs of a breach. Our research shows that the true economic impact of a cyber incident is found in the long-term erosion of guest trust and the skyrocketing cost of customer acquisition required to win that loyalty back.
By shifting from reactive insurance models to proactive risk quantification, organizations can identify when they are being targeted and bridge the gap between estimated losses and actual post-breach reality.
In this report, we analyze the financial aftermath of major hospitality breaches to help cyber risk and finance teams think differently about risk quantification, cyber assurance and financial assumptions in a way that more accurately reflects reality.
Download the report to find out:
- Why the industry’s profitable, asset-light model has created a centralized single point of failure
- An analysis of why net income and EBITDA margins continue to decline years after the initial cyber event
- How rising Customer Acquisition Costs (CAC) post-breach create a financial tail far exceeding traditional loss estimates
- How to use pre-attack indicators and adversary targeting data to move beyond “one-size-fits-all” insurance models to modern risk quantification