Patrick Whelan, VP of Sales at Fortuna Cysec
Ransomware is no longer simply a criminal business model built around encrypting systems and demanding payment for a decryption key. Today’s threat actors have evolved their tactics and are increasingly stealing sensitive data before deploying ransomware, using data theft, public exposure, and reputational pressure as additional – and sometimes primary – forms of leverage.
Many financial institutions have rightly invested heavily in backup and disaster recovery capabilities. The ability to restore critical systems remains an essential component of operational resilience. However, a successful recovery does not solve the problem when sensitive information has already left the organization.
Once data has been stolen, credit unions lose control over how it is used. There is no reliable way to verify that every copy has been deleted, that it will not be shared with other threat actors, or that it will not be weaponized months or even years later. A restored system may be operationally healthy, yet the institution can still face significant legal, regulatory, financial, and reputational consequences from the exposure of member information.
In some modern ransomware incidents, data theft and potential misuse can cause damage equal to or greater than the disruption caused by encryption.
The Data Risk Landscape Is Expanding
Both the volume and variety of data being created within credit unions have continued to grow dramatically. Beyond traditional documents and databases, organizations now generate vast quantities of unstructured information through collaboration and productivity platforms.
Teams meeting recordings and transcripts, dictated notes, internal chat conversations, AI-generated summaries, shared files, recorded calls, and collaborative workspaces often contain sensitive discussions, strategic decisions, member information, or statements that may be misunderstood when removed from their original context.
What was once discussed verbally in a conference room may now be recorded, searchable, and retained for extended periods, potentially making it subject to legal, regulatory, or internal discovery obligations. As a result, credit unions are managing far more information than many of their cybersecurity and governance programs were originally designed to protect.
AI Is Increasing the Value of Stolen Data
This expanding data footprint creates new opportunities for attackers. Modern threat actors are no longer limited to manually reviewing stolen files. By leveraging large language models and other AI-powered tools, they can rapidly analyze enormous volumes of exfiltrated information, identify sensitive content, uncover confidential discussions, and pinpoint data that could be damaging if publicly disclosed.
The speed and scale of this analysis fundamentally change the risk landscape. Information that might once have remained buried within millions of files can now be surfaced, categorized, and exploited far more quickly and at significantly greater scale.
Many data classification and governance programs were developed before this type of content was widely created or retained. Many traditional data-governance implementations have focused primarily on structured repositories containing information such as account data and personally identifiable information. Today, some of the most sensitive data may reside in meeting transcripts, collaboration platforms, AI-generated content, and other repositories that often receive less scrutiny. What’s more, technology has advanced faster than many institutions’ ability to identify, classify, and manage the resulting risks.
A Shift from Recovery to Risk Reduction
For credit unions, this evolution demands a broader approach to cybersecurity. Resilience can no longer be measured solely by how quickly systems can be restored after an attack. Institutions must also understand what data they possess, where it resides, who has access to it, how long it should be retained, and what the consequences would be if it were exposed.
This shift does not replace traditional resilience and incident-response obligations. It expands them by placing greater emphasis on data governance, exposure reduction, and preparation for data-extortion scenarios.
Backup, recovery, and incident response remain critical capabilities, but are no longer sufficient on their own. Cybersecurity strategies must evolve from a model that may place significant emphasis on recovery to a proactive model centered on reducing risk before an incident even occurs. This means improving data visibility, strengthening data protection controls, reducing unnecessary data exposure, modernizing retention and classification practices, and preparing for extortion scenarios in addition to operational disruption.
Protecting Member Trust
Trust is one of the most valuable assets credit unions possess. In a ransomware attack driven by data theft and extortion, the loss of member confidence can be every bit as damaging, if not more so, than a temporary loss of system availability.
Institutions that prioritize visibility, data protection, exposure reduction, and response planning will be better positioned to protect their members, their reputation, and their long-term resilience. In today’s rapidly evolving threat environment, recovery remains critical, but reducing what attackers can steal in the first place may prove to be even more important.