Ensuring Code Compliance in Public Sector Software Projects

The public sector handles sensitive citizen data, which is why software projects built with secure coding are imperative to deliver high trust levels. Code compliance with data protection laws, financial governance standards, and various regulations and policies is an obligation that must be consistently met to maintain trust and accountability.

According to IBM’s Cost of a Data Breach Report 2026, the global average cost of a data breach is $4.99 million. That’s a lot of money for any organization in the public sector. Similarly, the Ponemon Institute and Globalscape’s report, The True Cost of Compliance with Data Protection Regulations, determined that the cost of non-compliance is 2.71 times higher than being compliant. Hardcoded credentials or insufficient input/output validation are common, costly issues, often caused by working at speed and incomplete validation checks.

Many issues create compliance problems, and poor code security is one of the biggest risks, which code maintainability can mitigate. Ensuring compliance also helps avoid the costs associated with productivity loss, financial penalties, legal fees, and settlements that can quickly add up after a breach.

Understanding the risks of non-compliance in the public sector when building and updating software and taking steps to ensure code compliance helps avoid financial and reputational damage.

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Public sector software compliance cheat sheet

Strict standards apply across public sector software for data protection, security controls, accessibility, and supply chain transparency. Compliance with specific regulations, frameworks, and standards is mandatory, but may vary depending on your location and the applicable policies.

Our cheat sheet helps developers working on public sector software understand potential compliance risks, the considerations to make, and how using a code quality tool can help ensure compliance. It outlines common issues for public sector software, so your development team can review its code quality against each factor before deployment to minimize any risks. 

Save time, stay safe, and ensure you’re not breaking any rules.

Compliance Risk	Dev Consideration	Code Quality Tool Use
Non-uniform delivery quality breaches contract standards, resulting in disputes over “whose code failed”	Inconsistent coding standards across contractors and subcontractors	Automatic enforcement of centrally configured quality profiles across all teams
Institutional knowledge loss leading to undetected regressions in critical systems	Dev teams change over long lifecycles, causing quality drift	Baking continuous inspection into the CI/CD pipeline, regardless of who writes the code
Rising maintenance costs and risks breaching long-term supportability commitments in contracts	Unchecked code smells, duplication, and complexity accumulate	Track technical debt metrics on an ongoing basis
Breach of secure development lifecycle mandates with potential data breaches exposing citizen data	Injection flaws, insecure deserialization, and unsafe input handling	Static application security testing (SAST) detects known vulnerability patterns
Violation of identity and access management standards causes a credential leak risk	Hardcoded credentials or secrets in source code	Secret detection built into code scans
Non-compliance with data protection laws (e.g. GDPR), which require appropriate security measures	Weak or outdated cryptography	Flags insecure crypto implementations
Supply chain security failure, which breaches vulnerability management requirements	Vulnerable open-source dependencies	Dependency vulnerability scanning
Breach of procurement restrictions on acceptable licenses that cause IP/legal exposure	License conflicts in dependencies	Automated license compliance checks
Unsupported components in production mean incident response and patching obligations aren’t met	Outdated libraries are no longer supported	Dependency freshness tracking
Failing to produce evidence during compliance audits or contract milestone sign-off	A lack of objective audit evidence for code quality/security	Automated and time-stamped historical reports
Audit findings cite inadequate or inconsistent quality assurance process	Relying on manual reviews as the sole compliance gate	Tool-generated reports replace subjective sign-off
Deliverable acceptance criteria breach and contractual SLA non-conformance	Non-compliant code progressing through the pipeline unchecked	Quality gates block merges/releases below the threshold
Business continuity risks during vendor/contractor handover	Inherited/legacy code with unknown risk areas	Complexity and risk for unfamiliar codebases surfacing
A breach of government IT policy restricts external SaaS/cloud dependencies	A need for on-prem/air-gapped tooling	Self-hosted deployment option

Code compliance risk 1: Security and data protection compliance

Failing to comply with security and data protection standards and regulations puts sensitive and personal information at risk of exposure. Public sector software processes large amounts of personal data. Aligning it with applicable security and data protection standards, such as the UK General Data Protection Regulation (UK GDPR) and the Data Protection Act 2018, is vital.

Requirements vary by country, too. For example, public sector bodies in EU countries must abide by General Data Protection Regulation (GDPR), a strict data privacy and security law, while UK central government departments and agencies are subject to the National Audit Office (NAO) standards. 

US agencies work within Federal Acquisition Regulation (FAR), Defense Federal Acquisition Regulation Supplement (DFARS), and Federal Risk and Authorization Management Program (FedRAMP).

The real-world impact for developers 

Developers must build privacy and defense procedures into the software development lifecycle (SDLC) from the start to protect sensitive data. Leaving it too late or considering security too close to testing and deployment can jeopardize privacy protection.

Using weak and outdated cryptography is another compliance risk, as it leaves public sector software vulnerable to attacks. Weak cryptography can also breach controls required under frameworks like ISO/IEC 27001 (Information Security Management), risking loss of certification and reputational damage.

Considering supply chain vulnerabilities and the accountability for personal data handled by third-party vendors is important, too. Third-party dependencies must be treated as active risks. Integrating a code compliance tool like Qodana into the IDE and CI/CD pipeline brings automated SAST checks, secret detection, and cryptography scanning directly into developers’ existing workflow, catching issues before they reach production.

Secure credential storage, explicit user-consent handling, penetration testing before deployment, and ongoing automated testing help with security and data protection compliance. This can ensure public sector software retains NCSC Cyber Essentials certification.

Code compliance risk 2: Contractual and procurement compliance

Public sector software can automate government purchasing and supplier agreements. This improves efficiency but may introduce compliance risks, such as service level agreement (SLA) non-conformance. Failure to comply with an SLA can result in contract termination and financial penalties.

Various regulatory guidelines cover contractual and procurement compliance. These include the FAR in the US and the UK Public Contracts Regulations 2015 (procurement law). Government departments can add specific rules and regulations, like the DFARS and the Cabinet Office Technology Code of Practice.

Potential risks include non-compliant code progressing through the pipeline unchecked, like committing an active API secret key to a feature branch and not running SAST, which can lead to a breach of deliverable acceptance criteria. Vague requirements and missing edge cases may cause this. It may also result in disputes over delivery quality across contractors due to siloed teams.

Open-source dependencies, risks and actions

Open-source dependencies often carry licensing terms too, such as copyleft clauses and commercial-use restrictions. These may conflict with procurement rules on acceptable software. An undetected license conflict can expose the public sector body to IP disputes or breach of contract. Automated license compliance scanning flags these conflicts at the dependency level, before they become a legal problem.

Developers should embed automated quality gates into the CI/CD pipeline, so non-compliant code can’t progress toward a contractual deliverable. This replaces manual sign-off with an objective and repeatable check that provides useful evidence if a dispute over delivery quality arises.

Code compliance risk 3: Audits and accountability

Failing to produce evidence during compliance audits results in unverified controls being treated as non-existent. For public sector software, this can lead to failed certifications and financial penalties. A digital paper trail is essential for objective audit evidence of code quality and security, ensuring accountability.

A reliance on subjective, manual sign-off alongside inconsistent findings from the quality assurance process risks audit failure. Lacking objective audit evidence for code quality and security also exposes public sector software to compliance failure and technical debt. Automated tools can replace subjectivity to help ensure compliance with relevant regulatory guidelines and audits.

The National Institute of Standards and Technology (NIST) provides guidelines for federal information systems and organizations, which apply to some public sector software in the US. There are also audit requirements of ISO/IEC 27001 and the National Audit Office (NAO) standards for public spending accountability in the UK.

Developers must automate audit reports, embedding automated controls within the SDLC to ensure compliance with audits. This also mitigates any risk from manual sign-off. Integrating testing and traceability into CI/CD pipelines creates a digital audit trail to help produce evidence during any compliance audit.

Code compliance risk 4: Long-term supportability and continuity

Public sector software failures can lead to critical citizen service outages. Long-term supportability enables the continuity of such software and the effective application of updates over time to maintain performance and security levels. It also helps compliance with relevant regulations and global standards, such as ISO 22301 (Business Continuity Management System). 

Any public sector software that relies on open-source code is also at risk of being built on libraries that become outdated. Incident response and patching obligations won’t be met due to unsupported components. There are also business continuity risks during vendor or contractor handovers, as teams may inherit code with unknown risk areas, where the complexity of an unfamiliar codebase can hide problems until it’s too late.

Prioritizing quick fixes can create technical debt and breach long-term maintenance commitments. A short-term patch that isn’t built for long-term support often needs revisiting later. That future fix is usually costlier and more time-consuming than doing it properly the first time.

Developers should implement dependency freshness tracking to identify and use the latest stable version or patch release. This minimizes potential security risks due to using outdated libraries and ensures public sector software is up-to-date.

Keeping the number of external dependencies to a minimum also makes long-term supportability easier. Automated unit and integration tests help catch bugs before deployment, while static code analysis catches code errors early, making it easier to address them and ensure long-term supportability.

Code compliance risk 5: IT governance and infrastructure policy

Public sector software must meet security baselines and comply with various regulatory guidelines for IT governance. For example, the UK’s Government Cloud First policy ensures public sector organizations use public cloud services as the default when procuring new or existing IT and software solutions.

Government IT policy often restricts the use of external SaaS or cloud dependencies. Using non-compliant tooling puts sensitive public sector data at risk. This can violate FedRAMP (Federal Risk and Authorization Management Program), a standardized approach based on NIST guidelines that ensures cloud providers meet strict federal data protection rules.

IT infrastructure is also at risk of erosion due to institutional knowledge loss linked to the governance of long-running systems. When developers and staff leave without documenting context, workarounds, and the rationale for decisions, it can make understanding and maintaining the infrastructure difficult. 

Digital audit trails

A digital audit trail helps with ongoing infrastructure maintenance. Development teams can also consider on-premises and air-gapped tooling as a self-hosted deployment option for better code compliance.

These secure systems require no external cloud dependencies. Embedding automated guardrails into the SDLC helps achieve compliance through continuous scanning and policy-as-code.

Discover more about using Qodana for DevOps to help ensure code compliance in public sector software projects or try Qodana for 30 days.

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