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How AI-powered remediation can help tackle security debt

3/20/2025By Unknown Author|Source: Techradar|Read Time: 4 mins|Share

By leveraging AI technology, organizations can quickly identify and address security vulnerabilities in their systems. This helps reduce the overall security debt that can accumulate over time. Automation streamlines the process of detecting and resolving vulnerabilities, saving time and resources for the organization. AI-powered remediation enhances the overall security posture of the organization by proactively addressing potential risks. This technology is crucial in maintaining a strong and robust security infrastructure in today's digital world.

How AI-powered remediation can help tackle security debt

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The Dangers of Financial and Security Debt

Financial debt, if left unchecked, can spiral out of control quickly. Simply making the minimum payments on a credit card or avoiding debt collectors doesn’t solve the root problem. Instead, interest continues to build, compounding the issue over time.

Similarly, in the world of IT management, a concept called “security debt” operates much the same way. Security debt refers to software flaws that remain unresolved for longer than a year. Much like financial debt, the longer these vulnerabilities go unaddressed, the more they accumulate, leaving businesses exposed to significant risk.

Understanding Security Debt

Research reveals 74% of organizations have some level of security debt, with half grappling with high-severity vulnerabilities – commonly referred to as ‘critical’ security debt. Despite these concerning statistics, organizations can take actionable steps to reduce their security debt.

To effectively reduce security debt, it’s important to first understand how it builds up. One major factor is a lack of prioritization, where organizations fail to focus on remediating the most critical vulnerabilities.

The age and size of applications also significantly contribute to security debt. Studies show a strong correlation between the age of an application and the likelihood that flaws will go unresolved. Nearly two fifths of all critical security debt are found in older applications (over 3.4 years old), meaning the older the application, the higher the chances of flaws accumulating.

Application size compounds the issue. As codebases grow, so does the volume of unresolved flaws. Large applications often carry the highest proportion of security debt, with 40% having unresolved flaws and 47% dealing with critical debt. While smaller or newer applications aren’t immune to security debt, older and larger monolithic systems typically present the greatest challenges.

Another contributing factor is the use of third-party, open-source code. Vulnerabilities in third-party code are discovered on an ongoing basis, so unless these libraries are updated regularly, applications face an increasing risk. Additionally, the rise of generative AI in coding exacerbates the issue.

Harnessing AI to Combat Security Debt

Fortunately, advancements in AI tools provide development teams with powerful tools to reduce security debt. AI-driven solutions, particularly those trained on curated security datasets, excel at identifying and remediating vulnerabilities with high accuracy. These tools enable developers to address security risks more efficiently while ensuring data integrity and system security.

AI allows developers to “shift security left” in the software development lifecycle, identifying and resolving issues as they write code. This proactive approach minimizes the likelihood of costly vulnerabilities arising later in the development process, saving valuable time and resources. Additionally, by incorporating AI, organizations can better manage the growing volume of flaws, tackling both critical and less severe security debt.

Frequent code scanning remains essential, but without actionable remediation, it is not enough. AI bridges this gap by enabling continuous fixing alongside continuous scanning. By automating parts of the remediation process, AI helps teams overcome resource constraints and ensures that vulnerabilities are addressed before they become significant liabilities.

A Future with AI

As AI continues to reshape the technological landscape, its impact on security is set to grow. With seven out of ten organizations already facing significant backlogs of security debt and vulnerabilities on the rise, development teams will need all the help they can get to stay ahead.

The future of software security will place greater emphasis on prevention. Rather than solely focusing on identifying and fixing flaws, the priority will be to prevent vulnerabilities from entering the codebase in the first place. AI has the potential to accelerate this shift by enabling scalable, secure fixes and supporting developers in tackling not only critical security debt but also the broader spectrum of unresolved flaws.

By working with AI responsibly and strategically, organizations can build a safer, more secure digital future while giving developers the tools they need to address security debt effectively.