Security debt is rising across software teams in 2026

At a glance

What this is: Veracode’s 2026 software security report shows that security debt, critical debt, and high-risk vulnerabilities are all increasing across application estates.

Why it matters: For IAM and security teams, the report matters because unresolved application flaws increasingly intersect with access paths, developer workflows, and the governance evidence needed to prove control effectiveness.

By the numbers:

• Security debt now affects 82% of organizations.
• Critical security debt impacts 60% of organizations.
• High-risk vulnerabilities are up by 36% year over year.

👉 Read Veracode's 2026 State of Software Security report

Context

Security debt is the backlog of known application flaws that remain unresolved long enough to become a governance problem rather than a narrow engineering issue. In this post, the primary software security question is how teams stop accumulation from overwhelming remediation, especially when development speed and AI-assisted code generation increase the number of issues entering the pipeline.

That matters to IAM practitioners because application security debt often sits next to identity controls, developer access, secrets handling, and privileged build pathways. When flaws persist for months or years, the control question shifts from detection to accountability: which risks are accepted, which are blocked, and which are continuously provable in audit and operational reporting.

Key questions

Q: What breaks when security debt is left unresolved in software pipelines?

A: Unresolved security debt turns a vulnerability backlog into persistent business exposure. When flaws linger across release cycles, teams lose confidence in remediation, auditors lose confidence in control effectiveness, and attackers gain a larger window to exploit known issues. The practical failure is not just technical weakness. It is governance drift, where known risk stops being treated as urgent.

Q: When should organisations prioritise security debt over new feature delivery?

A: Organisations should prioritise security debt whenever unresolved flaws are both severe and highly exploitable, or when they sit in systems that support sensitive data, authentication, or privileged operations. In those cases, continued feature delivery can deepen the liability. The practical test is whether delaying remediation materially expands the attacker's path into core business systems.

Q: How can DevSecOps prove that infrastructure as code is reducing risk?

A: They should compare exposure in code-managed environments with exposure outside IaC coverage, then track whether preventable misconfigurations decline after policy and quality gates are added. The strongest evidence is not a dashboard count, but a measurable drop in repeated findings and exception-driven fixes.

Q: Who is accountable when critical vulnerability deadlines are missed?

A: Accountability usually spans security operations, infrastructure owners, and risk leadership because missed deadlines are often caused by governance gaps rather than one failed team. Frameworks such as the NIST Cybersecurity Framework and NIST SP 800-53 expect defined responsibility for asset management, response, and access control, so remediation ownership must be explicit.

Technical breakdown

Why security debt accumulates in modern development pipelines

Security debt forms when discovered vulnerabilities stay unresolved long enough to become persistent exposure. In DevSecOps environments, code is produced faster than manual review can absorb, and that gap is widened by automated pipelines and AI-generated code. The result is not just a larger backlog, but a different backlog: one dominated by known flaws that survive multiple release cycles because triage, ownership, and remediation capacity are misaligned. The report’s message is that speed without prioritisation creates a control failure, not just an efficiency trade-off.

Practical implication: classify unresolved flaws by exploitability and business exposure instead of treating the backlog as a single queue.

How SAST and SCA fit into continuous protection

Static Application Security Testing, or SAST, inspects first-party code for defects before deployment, while Software Composition Analysis, or SCA, identifies risk in third-party dependencies. In a mature pipeline, both are embedded early so issues are found while change is still cheap. Their value is not simply detection. They create repeated checkpoints that reduce the chance of critical defects reaching production, especially when paired with build gates and automated remediation suggestions. Without that integration, security becomes a late-stage review function developers can route around.

Practical implication: place SAST and SCA at commit and build stages, then block releases when critical issues cross policy thresholds.

What proves risk reduction in software security programmes

Proving security means producing auditable evidence that controls are working over time, not just showing that scans occurred. That requires clear metrics for vulnerability aging, remediation throughput, control coverage, and exceptions approved by the business. In governance terms, proof closes the loop between detection and accountability. It also supports board reporting because leadership needs evidence that risk is shrinking, not just being measured. In practice, proof is strongest when it ties application findings to policy, ownership, and remediation deadlines rather than to raw scan volume.

Practical implication: report control effectiveness with aging, closure rates, and exception tracking, not only vulnerability counts.

NHI Mgmt Group analysis

Security debt is a governance failure once known flaws outlive their remediation window. The report frames debt as a compounding business risk, and that framing is correct. A vulnerability that remains open for a year is no longer an isolated engineering issue, because the organisation has already decided, implicitly or explicitly, to tolerate exposure. The practitioner conclusion is that unresolved findings need lifecycle ownership, not just scan visibility.

Prioritise, protect, prove is the right sequence because control maturity follows the flow of change. Teams cannot audit their way out of an overloaded backlog, and they cannot patch their way out without knowing which flaws matter most. The useful shift is from volume-based security activity to risk-based governance with evidence attached. The practitioner conclusion is to align remediation and reporting to business-critical applications first.

Application security debt increasingly intersects with identity and secrets governance. Modern pipelines depend on service accounts, tokens, build credentials, and privileged developer access, so unresolved code flaws are only part of the exposure surface. If those identities are over-privileged or poorly monitored, vulnerability exploitation becomes easier and blast radius expands. The practitioner conclusion is to treat pipeline identity as part of software security debt, not a separate concern.

Evidence density is becoming the real measure of security programme credibility. The report’s “prove” step reflects a broader market shift toward measurable control assurance. Organisations that can show closure rates, exception ageing, and policy enforcement will be better positioned in audits, board reviews, and customer assurance processes. The practitioner conclusion is to build reporting that links findings to control outcomes, not just tool output.

Security debt will keep rising where remediation is still a manual exception process. Automation changes the economics of fixing flaws, but only if it is embedded into release flow and ownership models. The organisations most exposed are the ones still relying on late-stage review and human follow-up for high-volume pipelines. The practitioner conclusion is to make remediation part of the delivery system, not a separate backlog.

What this signals

Software security programmes are moving toward measurable control assurance, which means application risk and identity governance are converging around evidence, ownership, and policy enforcement. For teams that already track service accounts, build credentials, and pipeline access, the next step is to connect those identities to remediation metrics and release gating so exposure does not sit outside the governance model.

Evidence density: the organisations that can show reduced vulnerability ageing, blocked critical releases, and clear exception handling will be better positioned for board scrutiny and audit demand. That is where identity-linked controls matter, because the same access paths that accelerate delivery can also accelerate exploitation when they are poorly governed.

For identity and security leads, the practical signal is that application security, secrets governance, and privileged development access can no longer be reported in separate lanes. A control story that joins remediation speed with access accountability will be easier to defend than one that treats code quality and identity control as unrelated disciplines.

For practitioners

• Prioritise the highest-risk application debt first Rank vulnerabilities by exploitability, business criticality, and exposure duration, then assign remediation ownership to the teams that control the affected application or dependency. Use this to shrink the backlog that matters most instead of chasing every low-severity item equally.
• Embed SAST and SCA into the release path Run SAST on first-party code and SCA on third-party dependencies before merge and before build completion, then fail releases that contain critical findings above policy thresholds. That keeps security checks close to code creation instead of at the end of the pipeline.
• Automate remediation where the fix is deterministic Use fix suggestions, patch automation, and standardised change patterns for recurring flaws so teams are not forced to manually close the same class of issue repeatedly. Reserve human review for exceptions, risky refactors, and changes that affect shared services or privileged components.
• Produce evidence that control effectiveness is improving Track vulnerability ageing, exception approvals, closure rates, and policy-blocked deployments in a format that can be used for board reporting and audit response. If the numbers do not show improvement, the programme is measuring activity rather than control performance.

Key takeaways

• Security debt is no longer a backlog hygiene problem. It is a compounding exposure problem that gets harder to govern each year.
• The report shows that critical vulnerabilities remain widespread, which means prioritisation and release gating matter more than trying to fix everything at once.
• Programmes that can prove control effectiveness with ageing, closure, and exception data will outperform teams that only report scan volume.

Key terms

• Security Debt: Accumulated risk that builds when vulnerabilities, unsafe dependencies, and policy gaps are left unresolved across the software lifecycle. In AI-assisted development, security debt grows quickly because more code is produced, more decisions are made automatically, and remediation often lags behind delivery.
• Software Composition Analysis: Software composition analysis is the inspection of dependencies and packages to identify known vulnerabilities in third-party or transitive code. It complements secret scanning by answering a different question: what exploitable software weaknesses are present in the container, regardless of whether credentials are embedded.
• Static Application Security Testing: Static Application Security Testing is a method for finding security flaws by examining code, binaries, or configuration without executing the application. It is strongest when used early in development, where teams can fix issues before deployment and prevent avoidable defects from reaching production.
• Policy As Gate: Policy as gate means authorization is checked before an agent acts, not after it generates an output. The control evaluates identity, scope, tenant context, exception state, and action type before execution. That is a stronger security posture than post-hoc filtering because it can prevent risky tool calls from ever starting.

What's in the full report

Veracode's full report covers the operational detail this post intentionally leaves for the source:

• The underlying breakdown of vulnerable code by severity and lifecycle stage, useful if you need to benchmark your own backlog.
• The report's prioritisation logic for deciding which flaws to fix first when remediation capacity is limited.
• The automation and workflow patterns behind scanning, gating, and remediation that this analysis summarises at a higher level.
• The evidence model for proving risk reduction to auditors, executives, and security leadership.

👉 Veracode's full report covers the data behind security debt, remediation strategy, and audit evidence.

Deepen your knowledge

NHI Foundation Level course, the industry's only accredited NHI security programme, covers NHI governance, machine identity security, and secrets management. It helps practitioners connect identity controls to broader security programmes and operational decision-making.