Month: August 2026

How Public Sector Developers Can Secure AI-Generated Code

Mohammad Shahid, Leave a comment

AI coding assistants are moving into public sector software teams. The UK government now provides guidance for using AI coding assistants, while departments are testing how the tools can support development and legacy modernisation.

As tech stacks are changing extremely fast, public systems must be ready for a wartime pace, supporting transparent component logging, strong authentication, and continuous vulnerability management processes to avoid an unexpected standstill.

The productivity gain comes with a clear condition. AI-generated code still needs the same security controls, testing and review as code written by a developer. This is especially important in government systems that handle citizen data, public services and ageing infrastructure.

ai coding risk public sectors

As Meterian explored in its article on the AI acceleration trap, faster delivery can create more risk when component integrity is overlooked. Here are five practical ways public sector teams can use AI coding tools safely. 

1. Treat AI-generated code as untrusted

As developers increasingly rely on AI coding assistants, teams are facing a surge in “AI-generated technical debt.” This can originate from in-house developers or contractor contributions.

AI can produce code that looks correct while missing the wider architecture, security controls or operational context. This can result in code that is difficult to maintain, poorly optimized, or missing necessary security abstractions.

Every suggestion should pass normal peer review, automated testing and security checks before it is merged. The Home Office engineering standard takes the same approach. AI-assisted code must meet the same security expectations as human-written code. Developers remain responsible for the final result.

Risk of AI coding on government sectors

2. Verify every suggested dependency

Coding assistants can recommend vulnerable, outdated or non-existent packages. Later upgrades can be slow in legacy public sector systems, so check the following before adding a dependency:

  • The package name and publisher
  • The exact version and known vulnerabilities
  • Its licence and transitive dependencies
  • Whether a safer maintained version is available
  • If a software library is unmaintained, potentially approaching end-of-life or abandonment.

For the public sector, non-licence compliance is a class of legal vulnerabilities.  Since open-source maintainers bear no formal commitment or warranty to the onward supply chain consumers. 

Consequently, proprietary vendors and public-sector integrators that incorporate open-source components bear full legal, financial, and operational liability for any unvetted code.

3. Check dependencies inside the IDE and CI pipeline

Security feedback should arrive while a dependency is still easy to change. Scanning only at the end of the pipeline creates alert backlogs and leaves developers to repeat their work.

HEIDI from Meterian brings current vulnerability information and secure-version suggestions into VS Code, JetBrains and OpenVSX. Its MCP server can also support AI coding workflows. Teams can review a dependency in the IDE, apply a safe update and confirm the policy again in CI.

4. Keep sensitive code and data out of AI tools

Public sector developers should use approved AI services and follow departmental rules on data retention and access. Secrets, citizen data and sensitive operational details should never be pasted into a public AI tool.

HEIDI adds dependency security without reading or transferring source code. It analyses project manifest files locally, which helps teams reduce exposure while checking open-source components.

5. Maintain ownership and patch quickly

Making a repository private does not remove weaknesses. UK government guidance on AI, open code and vulnerability risk recommends clear ownership, automated dependency scanning and credible patching processes instead of relying on obscurity.

Each service should have a named owner, a vulnerability-reporting route and agreed timelines for security fixes. The NCSC warns that AI will further shorten the time between vulnerability disclosure and exploitation, so slow remediation creates growing risk.

Secure AI coding without slowing development

While AI coding assistants are invaluable for government teams to modernise services and reduce repetitive work, these tools require additional integration to fully address security nuances related to open-source dependencies.

The safest approach is to keep human review, automated dependency checks and rapid remediation inside the normal development process.  

HEIDI provides real-time dependency intelligence that empowers teams to leverage AI securely within their existing workflows and confidently adopt AI-driven innovation.

Watch: HEIDI by Meterian – Free Open Source Security for IDEs

How Public Sector Developers Can Secure AI-Generated Code

Securing the Sovereign Supply Chain: ISO 27001 for the UK Public Sector

Mohammad Shahid, Leave a comment

At a time of heightened geopolitical tension and AI risk, the threat to the public sector is not discussed enough. In 2024, attackers compromised a Ministry of Defence payroll contractor in what Parliament’s House of Lords Library later described as a supply-chain ransomware attack. 

The wider threat has continued to grow. In May 2026, the NCSC managed more than 200 incidents affecting UK critical national infrastructure and its supporting ecosystem, with around 75% believed to be linked to state actors. 

For public-sector organisations, ISO/IEC 27001 therefore needs to operate as a live Information Security Management System supported by continuous technical evidence, rather than a checklist revisited before an audit.

ISO/IEC 27001 provides a risk-based framework for an information security management system. Operationalising it for software supply chain security requires engineering decisions the standard does not prescribe, including which open-source package to approve and how often to scan it.

That gap matters in the public sector, where digital services can depend on large trees of direct and transitive components.

iso 27001 for the public sector

UK guidance is becoming more explicit. The Home Office engineering standard requires teams to assess external components, maintain a discoverable dependency tree, automate vulnerability scanning and keep dependencies updated.

The 2026 Software Security Code of Practice also expects software vendors to understand composition and manage third-party component risks throughout the lifecycle. These practices turn control language into technical evidence.

Where software supply chain risk fits ISO 27001

ISO 27001 does not mandate a software bill of materials (SBOM) or software composition analysis (SCA). Both can support several Annex A controls when they are tied to ownership, risk decisions and remediation.

ISO 27001:2022 controlEngineering practiceUseful evidence
A.5.9
Inventory of information and associated assets		Maintain a release-linked component inventoryDated SBOMs mapped to the deployed service
A.5.21
ICT supply chain		Assess and manage third-party software riskDependency policies, licence checks and supplier decisions
A.8.8
Technical vulnerabilities		Continuously identify, assess and address known flawsSCA results, triage records, fixes and approved exceptions
A.8.25, A.8.28 and A.8.29
Secure development, coding and testing		Run security checks within the development lifecycleAutomated scans, CI/CD gates and retained build reports

An SBOM is an inventory, rather than a security control on its own. The NCSC recommends generating a new SBOM with each build and pairing it with vulnerability scanning. An inaccurate or stale inventory can create false assurance.

Move from an audit snapshot to continuous evidence

A periodic scan becomes stale when a dependency changes or a new vulnerability is disclosed. A practical workflow places checks at three points:

  • Before selection: developers verify the exact package and version before adding it. HEIDI brings known-vulnerability information and suggested safe versions into the IDE, including when an AI coding assistant proposes an unfamiliar dependency.
  • During the build: BOSS scans direct and transitive dependencies, identifies licence risks and outdated components, generates an SBOM and applies policy gates in CI/CD.
  • After release: teams rescan component inventories as vulnerability intelligence changes, record patch decisions and track exceptions. BOSSC extends the same visibility to components inside container images.

What auditors and security teams need to see

The useful output is a repeatable evidence trail, rather than a dashboard viewed once before an audit. Retain:

  • A dated SBOM for each relevant build or release.
  • Scan results linked to triage decisions and service owners.
  • Remediation tickets, accepted risks and time-bound exceptions.
  • Proof that CI/CD policies ran and blocked releases when thresholds were exceeded.


This supports the wider direction of UK public-sector guidance. In May 2026, the government told departments operating public code to use dependency-update tooling, vulnerability scanning and patching timelines that teams can demonstrate.

AI-assisted discovery may shorten the time between a weakness appearing and exploitation, which makes rapid remediation more important.

Operationalising the controls with Meterian

Meterian BOSS supports continuous SCA, SBOM generation and CI/CD policy enforcement. HEIDI moves the first check into the developer’s workflow, while BOSSC covers container images.

Together, these controls help public-sector teams reduce the time between vulnerability disclosure and remediation while keeping evidence ready for ISO 27001 reviews.

A sensible starting point is one service: generate an SBOM on every build, set risk-based patch timelines, enforce a pipeline threshold and measure time to remediation. Once the process works, extend it across the application estate.

Securing the Sovereign Supply Chain: ISO 27001 for the UK Public Sector