AI coding assistants help startups and fast-moving teams build software quickly, but they frequently miss essential security controls. The most common gaps are hardcoded secrets, broken access control, and weak input validation. Relying entirely on AI, without a separate security review, raises the risk of exposing sensitive user data.
How AI prioritises function over safety
When you ask an AI tool to build a login page or connect a database, its main goal is to make the feature work. It will write code that successfully processes a login, but it rarely pauses to add the specific data boundaries that keep your users safe.
Security is about reducing risk, not eliminating it. Moving at speed without checking your code simply leaves unnecessary weaknesses in your software. That becomes a problem the moment you are asked to answer a customer security questionnaire or to meet a business insurer's requirements. Buyers expect you to know exactly how your application protects their information, however quickly it was built.
Three common AI security gaps and how to check them
These are among the most common missing controls in applications built quickly with AI tools. Here is what to look for and how to approach each one.
Hardcoded secrets. A secret is a password, an API key, or a token used to connect to an external service. AI tools often write these straight into the source code to make the connection work immediately. The check: search your codebase for any keys or passwords written into the code, and move them out into environment variables or a dedicated secrets manager. Make sure any local file that holds them, such as a .env file, is excluded from version control so it never reaches your repository. If secrets reach a public repository, anyone who finds them can use them to reach your systems and data directly.
Broken access control. This happens when an application fails to check whether a user is allowed to see or change a particular piece of data. An AI might build a working dashboard but forget to confirm that a standard user cannot change a web address, or an ID in a request, to view someone else's account. This is the single most common serious weakness in web applications and sits at the top of the OWASP Top 10. The check: never rely on hiding links in the interface. Enforce a check on the server for every request, confirming the logged-in user is authorised to see that specific data.
Weak input validation. When someone types information into a form, your application has to handle that data carefully before using it. AI models often skip this, which can leave you open to injection attacks, where malicious input is treated as code. The check: never trust user input. Validate it, and for anything that touches your database use your framework's parameterised queries, sometimes called prepared statements, rather than building queries by hand. Modern frameworks give you these tools, and the mistake is usually bypassing them. The UK National Cyber Security Centre (NCSC) publishes clear, plain-language secure development guidance that covers this well.
Why AI struggles with secure architecture
Beyond individual lines of code, AI struggles with the wider context of your application. It does not understand your business logic or how sensitive your data is. It might correctly build a password reset function, for example, but not realise it should limit how many times someone can attempt to guess a reset token. These logic flaws are exactly the kind that automated scanning tools miss, which is why human review still matters.
Moving from finding to fixing
Knowing where your weaknesses are is only the first step. You then need a reliable way to fix the code and confirm the fix actually works.
Our approach at Secvura is built for startups and fast-moving teams who want to understand their security position quickly. We focus on a find and fix method: we carry out an application security assessment to identify where your application is vulnerable, then give you clear guidance to put it right, or fix it for you. That means you can present your software to buyers and partners with confidence.
If you would like a security review of your codebase, you can get in touch through our website at www.secvura.com.