The Most Expensive Part of a Data Breach Happens Before the Breach

A single data breach now costs organizations almost $5 million on average globally. In the United States, the average cost is higher than other geographies and is currently at $11.5 million which is 13% higher than the cost was in 2025. AI-driven attacks increased 50% over last year, adding $1 million to the cost of breach in the U.S. This data comes from IBM's Cost of a Data Breach Report 2026, and those numbers should concern every executive.

However, the cost is distinguishable from the conditions driving these numbers. And having a line of sight into those conditions is where the gap between strategy, performance  and value is revealed. Thus, organizations need to broaden the conversation beyond cybersecurity and begin measuring the conditions that determine whether they can execute strategy, govern AI responsibly, and manage enterprise risk consistently.

Concerning one of the specific data points relevant to governance, IBM found that 92% of organizations reporting AI-related security incidents lacked proper AI access controls, while 68% lacked AI governance to manage AI generally. Therefore, this isn't just a cybersecurity problem. It's an organizational problem. 

So while some are asking how to prevent the next data breach. At TULIP, we see and solve problems differently. We're asking: What conditions within organizations are making a data breach possible in the first place?

That’s because a breach is rarely the first failure. It's usually the first visible failure. Or, the first failure where the cost shows up on the balance sheet. However, the real failures often happen months (or even years) earlier. Failures like when:

‼️ Governance doesn't keep pace with technology.

‼️ Decision rights are unclear.

‼️ Business functions operate in silos.

‼️ Policies fail to evolve as AI adoption accelerates.

‼️ Accountability becomes fragmented.

‼️ Enterprise risks emerge in the spaces between organizational boundaries.

But technology doesn't create these conditions. It exposes them. AI amplifies them. This is why organizations need to broaden the conversation beyond cybersecurity and begin measuring the conditions that determine whether they can execute strategy, govern AI responsibly, and manage enterprise risk consistently.

On the positive side, 42% of organizations said they were able to recover post-breach and that’s up from 35% last year.  IBM sets forth the following recovery criteria in its report: 

“– Business operations are back to normal in

areas affected by the breach.

– Organizations have met compliance obligations,

such as paying fines.

– Customer confidence and employee trust have been restored.

– Organizations have put controls, technologies and expertise in

place to help avoid future data breaches.”

Still, nearly 60% of organizations participating in the 2026 IBM study reported they did not recover after a breach.

At TULIP, we help leaders see risks that traditional metrics miss. The risks that live in the gap between strategy and value. In the AI Age, the organizations that create the most value won't simply have the best technology. They'll have the strongest organizational foundations supporting it. And they will ensure that the gap is closed between strategy and performance to protect enterprise value.

If your organization is investing in AI, cybersecurity, or enterprise transformation, the question isn't whether your technology is ready.

It's whether your organization is.

To learn more about the solutions and services offered by TULIP Advisory Professionals, email us at info@tulipadvisory.com. #Strategy #AIRisk #Cybersecurity #Disruption #Governance #Leadership #Resilience #ValueDriven #Performance #MitigationMinded #OrganizationalSafety