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Financial debt, if left unchecked, can spiral out of control quickly.

Simply making the minimum payments on acredit cardor avoiding debt collectors doesnt solve the root problem.

Instead, interest continues to build, compounding the issue over time.

Similarly, in the world ofIT 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.

Despite these concerning statistics, organizations can take actionable steps to reduce their security debt.

EMEA Chief Technology Officer at Veracode.

The age and size of applications also significantly contribute to security debt.

Studies show a strong correlation between the age of anapplicationand the likelihood that flaws will go unresolved.

app size compounds the issue.

As codebases grow, so does the volume of unresolved flaws.

Another contributing factor is the use of third-party,open sourcecode.

Additionally, the rise of generative AI in coding exacerbates the issue.

Gartner predicts that by 2028, 75% of enterprise developers will use AI code assistants.

While AI-generated code isnt inherently less secure than human-written code, it often carries risks.

An over-reliance on AI without proper oversight can accelerate the accumulation of security debt.

Its also worth noting that security debt isnt necessarily the result of poor decision-making or mismanagement.

These tools enable developers to address security risks more efficiently while ensuring data integrity and system security.

Frequent code scanning remains essential, but without actionable remediation, it is not enough.

AI bridges this gap by enabling continuous fixing alongside continuous scanning.

The future of softwaresecuritywill place greater emphasis on prevention.

We’ve featured the best Large Language Models (LLMs) for coding.

The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.