AI is making vulnerability discovery faster. That does not mean the sensible response is to hide every repository. The UK government’s recent guidance on AI, open code and vulnerability risk makes the more important point: the weakness is usually the weakness itself—unpatched software, unsafe configuration, exposed secrets or slow remediation—not the fact that a determined person can inspect the code.
This distinction matters because “private by default” can sound like security while quietly reducing scrutiny, reuse and coordinated improvement. It can also distract teams from the operating capability that actually protects a service.
AI changes speed, not the fundamentals
Modern tools can help people analyse code, spot patterns and assemble plausible paths to a flaw more quickly. That may reduce an attacker’s uncertainty, particularly where a service is neglected. But making a repository private does not patch a known vulnerability, rotate a leaked token, harden a deployment or give an under-resourced team the ability to respond.
The guidance is clear that public-sector organisations should meet a minimum operational standard: clear ownership, secure-by-design practice, automated hygiene and credible remediation. These are not glamorous controls, but they determine whether a vulnerability becomes an incident.
Openness should be a deliberate default
Open code can improve quality through reuse and review. It can also make a system easier for defenders, suppliers and peer organisations to understand. Closing code may be appropriate where there is a specific and credible route to harm, but it should be an exception with a short threat model—not a reflexive response to AI headlines.
A useful threat model asks who might act, what access publication adds, what asset is at risk and whether the practical harm depends on code visibility. It should also be time-bound. A repository closed during active remediation should not stay closed indefinitely simply because no one revisited the decision.
Secrets are not source code
The most basic rule remains the most valuable: secrets do not belong in repositories, public or private. Credentials, tokens and private keys need separate controls, rotation and detection. A private repository can still be accessed, copied, exposed by a misconfiguration or shared too widely. Treating private visibility as a substitute for secret management creates a fragile boundary.
Teams should use automated scanning before code is merged, protect branches, restrict write access, review dependencies and maintain an inventory of deployed components. These controls reduce risk regardless of whether code is visible to the public.
Remediation is the real capability test
AI-assisted discovery is most worrying for systems that cannot be fixed quickly. An organisation needs a known owner, an accurate view of what is running, a way to assess severity, a tested patch route and a communication process for affected users. Without those, even a privately held codebase can become a long-lived exposure.
Measure the time between discovering a weakness and containing it. Review why a patch was delayed: was ownership unclear, did the team lack an environment, did a supplier dependency block the change, or did nobody know which service used the component? The answers are operational evidence, not just engineering detail.
Security is a maintained condition
The right response to AI-accelerated analysis is not secrecy as theatre. It is better hygiene, clear ownership, rapid remediation and explicit exceptions where openness genuinely adds risk. Those controls make systems safer for everyone, including the teams trying to use AI productively.