Technical Debt Is Also a Cybersecurity Risk

Technical debt is often discussed as an engineering problem. Outdated software, temporary workarounds, inconsistent configurations, and undocumented systems can slow development and make routine maintenance more difficult. However, these problems also have important security implications. Patrick Putman of Alabama explains that the longer an organization postpones necessary technical improvements, the more opportunities it may create for attackers to exploit known vulnerabilities, abuse overlooked services or move through systems that lack adequate oversight.

In modern IT environments, security depends on more than firewalls, endpoint protection, and threat detection tools. It also depends on the condition of the underlying infrastructure. Applications need timely updates, access permissions require regular review, services must have clear ownership, and system configurations need to remain understandable as environments evolve. When these responsibilities are neglected, technical debt can gradually weaken the controls intended to protect an organization. Addressing technical debt is an important part of maintaining a secure, reliable, and manageable technology environment.

Understanding the Connection Between Technical Debt and Security

Technical debt describes the future cost of choosing a quick or convenient technical solution instead of a more sustainable approach. Some technical debt is intentional. A development team might release a product with a simplified implementation to meet a deadline, planning to improve the architecture later. Other debt accumulates unintentionally as software ages, employees leave, infrastructure expands, and dependencies become harder to maintain.

The problem emerges when these compromises remain unresolved. A temporary workaround can become a permanent part of an application. A software library that once worked reliably may stop receiving security updates. A cloud resource created for a short-term project may remain accessible years after the project ends.

These conditions do not automatically cause a security breach, but they can increase the likelihood or potential impact of one. Older components may contain known vulnerabilities, undocumented configurations can conceal excessive permissions, and abandoned services may continue processing sensitive information without anyone monitoring their activity.

The relationship between technical debt and cybersecurity is becoming increasingly important as attackers exploit known vulnerabilities to gain access to organizational systems. Verizon's 2025 Data Breach Investigations Report found that exploitation of vulnerabilities as an initial access method increased by 34% compared with the previous year and accounted for 20% of breaches analyzed. Although this finding does not establish technical debt as the cause of those breaches, it demonstrates why organizations need effective processes for identifying and correcting weaknesses in their technological environments.

Technical debt can also make incident response more difficult. When engineers cannot quickly determine how a system works, which services depend on it, or where its credentials are stored, investigating suspicious activity and restoring normal operations can take longer.

Security teams must therefore consider technical debt as part of an organization's overall risk management strategy rather than treating it as a separate engineering concern.

Outdated Dependencies Create Opportunities for Attackers

Modern applications rarely operate in isolation. They rely on software libraries, open-source packages, frameworks, container images, operating systems, and third-party services. These dependencies help teams build and maintain applications efficiently, but they also introduce security risks when components become outdated or unsupported.

A vulnerability discovered in a widely used library can affect thousands of applications. If an organization continues using a vulnerable version after a security fix becomes available, attackers may be able to exploit the weakness without needing to discover a new attack technique.

The risk can be especially difficult to manage when teams lack an accurate inventory of their dependencies. Developers may know which packages they directly installed but overlook indirect dependencies introduced by other libraries. Container images and build environments can also retain outdated components long after application code has changed.

For example, an application may receive regular feature updates while continuing to use an old version of a logging library with a known vulnerability. Because the application appears actively maintained, teams might assume its underlying components are equally current. Without dependency scanning and clear ownership, the vulnerable library can remain unnoticed.

Unsupported software creates an additional challenge. Once a vendor or open-source project stops issuing security patches, organizations may have limited options for correcting newly discovered vulnerabilities. Continuing to operate the component can increase exposure, particularly if it processes sensitive information or connects to public-facing systems.

Software supply chain security deserves particular attention because vulnerabilities can originate in components an organization did not develop itself. The National Institute of Standards and Technology (NIST) addresses this challenge in its Secure Software Development Framework (SP 800–218), which recommends integrating security practices throughout the software development lifecycle. The framework emphasizes protecting software components, producing more secure releases, and responding appropriately to vulnerabilities.

A practical response includes maintaining a software inventory, scanning dependencies for known vulnerabilities, prioritizing updates according to risk, and establishing a plan for replacing unsupported components. Automated dependency tools can help identify problems, but teams must also assess whether a vulnerable component is reachable, how it is used, and what privileges it has.

Keeping dependencies current is not just a maintenance task. It reduces the number of known weaknesses attackers may be able to exploit.

Undocumented Infrastructure Makes Security Harder to Enforce

Infrastructure changes constantly as organizations adopt cloud services, introduce new applications, and adjust computing resources to meet business demands. Without reliable documentation, these environments can become difficult to understand and secure.

An undocumented server may host a critical application that nobody realizes is still in use. A cloud storage bucket might have been configured for temporary access and never returned to its intended security settings. A network rule created to troubleshoot a deployment could remain in place long after the original problem has been resolved.

These situations can create gaps between an organization's intended security policies and its actual infrastructure.

Infrastructure as code can help reduce this problem by defining resources and configurations in version-controlled files. Teams can review changes, apply consistent settings, and track how infrastructure evolves. However, infrastructure as code does not eliminate technical debt automatically. Old templates, hard-coded credentials, inconsistent modules, and manual changes made outside the approved workflow can introduce their own risks.

Documentation should explain not only what resources exist but also why they exist, who owns them, how they are accessed, and what other systems depend on them. Architecture diagrams, deployment instructions, configuration records, and operational runbooks can help engineers identify security implications before making changes.

Regular reviews are equally important. Documentation that accurately described an environment two years ago may no longer reflect its current state. Comparing documented infrastructure with actual cloud resources, network configurations, and deployed services can reveal discrepancies that need attention.

Configuration drift is another issue worth monitoring. It occurs when a system's actual configuration diverges from its approved or documented settings. This can happen through manual changes, emergency fixes, inconsistent deployments, or outdated infrastructure templates. Automated configuration assessments and policy checks can help identify unexpected changes before they become persistent security weaknesses.

When teams understand their environments, they are better positioned to enforce access controls, identify unexpected changes, and investigate security incidents efficiently.

Abandoned Services Can Become Forgotten Entry Points

Organizations often create services for testing, migrations, temporary projects, and specialized business needs. Once the original purpose disappears, the service may be forgotten rather than properly decommissioned.

An abandoned service can continue consuming resources, accepting network connections, storing sensitive information, or using credentials that remain valid. If nobody is responsible for monitoring it, security updates and access reviews may never happen.

Consider a development team that creates a temporary application to test a new integration. The project ends, but the application remains accessible from the internet. Its database still contains test records, and its service account retains permissions that were needed during development. Even if the application is no longer part of normal operations, an attacker who discovers it may find a useful entry point into the organization's environment.

Unused services can also complicate incident response. Security teams may struggle to distinguish legitimate legacy activity from suspicious behavior when system ownership and expected usage are unclear.

Organizations can reduce this risk by maintaining an inventory of active services and assigning each one a clear owner. Cloud asset discovery, configuration management tools, and network monitoring can help identify resources that no longer match documented requirements.

Decommissioning should be a defined process rather than an informal cleanup task. Before removing a service, teams should confirm that it is no longer needed, preserve required records, revoke credentials, remove unnecessary access rules, and securely dispose of stored data according to organizational policies.

For services that must remain operational because of legacy dependencies, teams should document the business justification, assess the exposure, restrict access, and establish a plan for eventual replacement.

Organizations should also review service accounts, API keys, certificates, and other credentials associated with legacy systems. Disabling an unused application without revoking its credentials may leave access pathways intact. Periodic access reviews and automated credential discovery can help identify secrets that are no longer needed, while least-privilege policies limit the damage a compromised account could cause.

Rushed Fixes Can Introduce New Vulnerabilities

Production incidents place significant pressure on engineering teams. When an application stops working or a deployment fails, restoring service may become the immediate priority. A quick configuration change or temporary code modification can be reasonable under the circumstances, but problems arise when emergency measures bypass normal security review and remain in place indefinitely.

For example, an engineer troubleshooting an application might temporarily broaden a service account's permissions to determine whether an access restriction is causing the failure. If the permissions are never reduced afterward, the application may retain unnecessary privileges. Another team might disable a security check to restore compatibility with an older component and forget to reenable it once the incident has passed.

Hard-coded credentials, disabled certificate validation, overly permissive network rules, and skipped input checks can similarly emerge from attempts to solve immediate problems.

The difficulty is that temporary changes often lack the documentation, testing, and review applied to planned development work. When several emergency modifications accumulate, engineers may no longer understand which safeguards were deliberately changed and which changes can safely be reversed.

Organizations should establish a process for emergency fixes that balances speed with accountability. Critical incidents may justify expedited approvals, but changes should still be recorded, tested to the extent practical, and reviewed after service is restored.

Every temporary exception should have an owner, a documented reason, and a deadline for removal or formal approval. Automated configuration checks can help identify when a system no longer meets established security requirements.

A blameless post-incident review can make this process more effective. Rather than focusing exclusively on who introduced a change, teams can investigate why the workaround seemed necessary, which safeguards were missing, and what improvements would prevent the same situation from recurring. This approach connects incident response with long-term engineering improvements and helps organizations address the underlying causes of technical debt.

Post-incident reviews should examine not only what caused the original outage but also whether the response introduced new risks. This helps teams prevent emergency workarounds from becoming permanent sources of technical debt.

Technical Debt Makes Vulnerability Management More Difficult

Even when organizations have vulnerability scanning and patch management tools, technical debt can interfere with their effectiveness.

A legacy application may depend on an operating system that no longer receives security updates. A tightly coupled architecture may require extensive regression testing before a vulnerable component can be replaced. An undocumented application may have no clear owner to approve a patch, while an abandoned service may not appear in the team's standard asset inventory.

These obstacles can leave known vulnerabilities unresolved for longer periods.

Technical debt can also create alert fatigue. Older systems may generate recurring security warnings that teams have learned to ignore because the underlying issues seem too difficult to fix. Over time, important findings can become buried among familiar alerts, reducing the effectiveness of monitoring and response processes.

Prioritization is essential. Not every outdated component presents the same level of risk, and organizations rarely have the resources to eliminate all technical debt at once. Teams should consider factors such as exploitability, exposure to the internet, the sensitivity of affected data, the privileges available to the component, and the availability of a supported fix.

A vulnerability in an internet-facing service with access to sensitive records generally deserves more urgent attention than an isolated issue in a restricted development environment. However, the latter should not be ignored simply because its immediate exposure is lower.

The Cybersecurity and Infrastructure Security Agency's Known Exploited Vulnerabilities (KEV) Catalog provides a practical resource for prioritizing vulnerabilities that have evidence of exploitation in the wild. Security teams can use the catalog alongside internal asset inventories and vulnerability scanners to identify affected systems and determine which remediation efforts require immediate attention. The catalog should complement, rather than replace, broader vulnerability assessments because not every significant weakness appears on the list.

A documented remediation process helps organizations make these decisions consistently. It should include risk-based deadlines, escalation procedures for overdue findings, and a clear method for approving temporary exceptions.

Teams should also track remediation performance instead of measuring success solely by the number of vulnerabilities discovered or closed. Useful indicators include the time between identifying a vulnerability and deploying a verified fix, the number of overdue high-risk findings, and the age of unresolved exceptions. These measurements help security and engineering leaders identify recurring bottlenecks and determine whether technical debt is preventing timely remediation.

Building a Sustainable Plan to Reduce Security-Related Technical Debt

Reducing technical debt does not require replacing an entire technology stack or halting product development. A more sustainable approach begins by identifying the weaknesses most likely to affect security, reliability, and operational continuity.

The first step is to establish visibility. Organizations need accurate inventories of applications, dependencies, infrastructure resources, service accounts, and external integrations. Each important system should have a designated owner responsible for maintenance, access reviews, and remediation decisions.

Next, teams should assess where outdated or poorly understood components create the greatest exposure. Unsupported software, publicly accessible legacy services, excessive permissions, untracked configuration changes, and unresolved critical vulnerabilities are reasonable starting points.

Automation can help prevent new debt from accumulating. Dependency scanning, infrastructure-as-code checks, secret detection, software composition analysis, and continuous configuration monitoring can identify issues earlier in the development lifecycle. Integrating these checks into continuous integration and continuous delivery pipelines allows teams to catch some problems before they reach production.

Automation should support informed decisions rather than create an unmanageable stream of warnings. Security policies need clear severity levels, actionable findings, and processes for handling exceptions. Teams should also test changes carefully so that remediation does not introduce outages or new vulnerabilities.

Finally, technical debt reduction should be incorporated into routine planning. Reserving engineering capacity for dependency upgrades, documentation, service cleanup, and architectural improvements makes this work less dependent on emergency budgets or occasional cleanup projects.

Useful measures include the number of unsupported components, the age of unresolved high-risk vulnerabilities, the percentage of critical services with assigned owners, the number of overdue security exceptions, and the time required to remediate significant findings. These indicators can help leadership understand whether the environment is becoming easier to maintain and more secure.

A practical starting point is to create a technical debt register that identifies each significant issue, its potential security consequences, its owner, and the steps required to address it. Teams can then rank items according to risk, remediation effort, business impact, and dependencies on other systems. This provides a shared basis for deciding which problems to resolve immediately, which to schedule for a future release, and which require temporary compensating controls.

Engineering and security teams should also agree on criteria for accepting technical debt. Each accepted compromise should have a clear business justification, an assessment of its security implications, and a review date. This makes technical debt a managed engineering decision rather than an accumulation of undocumented exceptions.

NIST's Secure Software Development Framework offers a useful foundation for formalizing this work. Its practices can be incorporated into existing development processes rather than implemented as a separate security program. Organizations can use the framework to identify gaps, establish priorities, and improve how software is developed, maintained, and updated over time.

Making Technical Debt Part of the Security Conversation

Technical debt is not inherently dangerous. Deliberate compromises can help organizations respond to changing business needs, test new ideas, and deliver useful capabilities sooner. The security concern arises when those compromises are forgotten, poorly understood, or allowed to persist without an assessment of their consequences.

Outdated dependencies can expose known vulnerabilities. Undocumented infrastructure can conceal misconfigurations. Abandoned services can remain accessible long after their purpose has disappeared. Rushed fixes can weaken controls that were designed to protect critical systems. Together, these conditions make environments harder to understand, maintain, and defend.

Addressing technical debt requires cooperation between software engineers, infrastructure teams, security professionals, and business leaders. The objective is not simply to modernize technology for its own sake. It is to reduce unnecessary exposure, improve reliability, and ensure that systems remain manageable as organizational needs evolve.

Organizations that treat technical debt as part of cybersecurity planning can make better-informed remediation decisions, direct resources toward the most significant risks, and avoid allowing temporary engineering compromises to become long-term security liabilities. By combining risk-based prioritization, secure development practices, consistent documentation, and ongoing maintenance, teams can improve security without sacrificing the pace of software delivery.