By Ben Potaracke, vice president – IT, Locknet Managed IT
Community banks have long prioritized protecting the data they know they have like core banking systems, customer records, and financial transactions. But an increasing risk lies outside those structured environments, hidden in shared drives, archived emails, and legacy systems.
This is known as dark data, and for many financial institutions, it represents one of the most overlooked cybersecurity and compliance challenges today.
What Is Dark Data?
Dark data refers to information that an organization collects, processes, or stores but does not actively use or manage. In a banking environment, this might include:
• Old loan files saved outside official systems
• Archived emails containing sensitive customer information
• Spreadsheets with embedded credentials
• Data exports from legacy platforms no longer in use
This data is often retained for convenience or simply forgotten over time. The problem is that it typically falls outside formal governance and security controls.
Why It’s Becoming a Bigger Risk
Cybercriminals are increasingly using AI-driven tools to scan compromised environments for exactly this kind of data. Rather than targeting heavily protected systems, attackers look for overlooked files that may contain sensitive information with fewer safeguards.
For community banks, the implications are significant. A single forgotten file could expose personally identifiable information, account details, or internal credentials which could lead to regulatory scrutiny and reputational damage.
Expanding the Attack Surface
Every piece of unmanaged data increases a bank’s “attack surface.” Simply put, you cannot secure what you cannot see.
This creates challenges for modern security frameworks, including Zero Trust, which depend on clear visibility into where data resides and how it is accessed. Dark data undermines that visibility.
For banks and other regulated institutions, this issue goes beyond cybersecurity. Regulatory frameworks do not distinguish between active and inactive data. If sensitive information exists anywhere in your environment, it must be protected accordingly.
Compliance and Operational Implications
Dark data introduces several layers of risk for community banks:
• Regulatory exposure: Sensitive data stored outside governed systems can lead to audit findings or penalties.
• Increased breach impact: Unmonitored data is less likely to be encrypted or access controlled.
• Operational inefficiencies: Staff may struggle to locate accurate, up-to-date information amid outdated or duplicate files.
In many cases, the question after a breach is not just what was accessed but why it was retained and unmanaged in the first place.
The Financial Cost of Keeping Unused Data
Beyond risk and compliance, dark data also carries a tangible cost.
Banks often store large volumes of unused data across on-premises infrastructure and cloud platforms. Storage, backup, and replication costs scale with data volume, meaning outdated or redundant files quietly increase ongoing expenses.
For institutions managing tight budgets and limited resources, reducing unnecessary data can provide immediate financial benefits while also simplifying security and compliance efforts.
A Practical Approach to Managing Dark Data
Addressing dark data does not require a complete overhaul. Instead, it can be approached as a structured, ongoing process.
1. Identify and Inventory Data. The first step is gaining visibility. This involves scanning systems to identify where data resides, including file shares, endpoints, and cloud environments.
2. Classify Based on Risk. Not all data carries the same level of sensitivity. Classifying data based on regulatory requirements and business value helps prioritize what needs attention first.
3. Eliminate Redundant Data. A significant portion of dark data is redundant, obsolete, or trivial (often referred to as ROT). Removing unnecessary data reduces both risk and storage costs.
4. Apply Governance Controls. For data that must be retained, appropriate controls should be applied, including access restrictions, encryption, and retention policies.
5. Monitor Continuously. Data environments are constantly evolving. Ongoing monitoring helps ensure that new data does not become unmanaged over time.
From Hidden Risk to Strategic Asset
While dark data presents clear risks, it also represents untapped potential.
Within these datasets may be valuable insights into customer behavior, operational trends, and business performance. However, unlocking that value requires first ensuring that the data is properly managed, secured, and compliant.
As banks explore AI and analytics, having well-governed, high-quality data becomes essential.
Moving Forward
Dark data is not a new concept, but its importance is growing rapidly as cyber threats evolve and regulatory expectations increase.
For community banks balancing limited resources, rising threats, and ongoing compliance demands, improving visibility into data is a practical and impactful step. Because in today’s environment, the greatest risks are often not in the systems you actively manage but in the data you’ve left behind.

By Rose Oswald Poels


By Rose Oswald Poels