It’s trusting code you never reviewed.
Artificial intelligence has changed software development at an incredible pace.
Developers can generate functions in seconds, explain unfamiliar code, build integrations faster than ever before, and solve problems that once took hours in a matter of minutes. Productivity has increased, release cycles have accelerated, and teams are delivering software at a speed that would have seemed unrealistic only a few years ago.
As AI becomes a bigger part of the development process, much of the conversation has focused on one question:
“Can AI-generated code be trusted?”
It’s an important question… but it’s also the wrong one.
The biggest cybersecurity risk today isn’t AI itself. It’s software entering production that nobody has properly reviewed, regardless of who or what wrote it.
Software development has fundamentally changed
Modern applications are no longer built entirely by one development team.
Today’s software is a combination of your own code, open-source packages, third-party APIs, cloud services, AI-generated functions and legacy components that may have existed for years.
Every application is now part of a much larger software ecosystem.
A single feature might rely on dozens of external libraries. A single dependency can introduce hundreds of additional packages behind the scenes. AI can generate perfectly functional code that works exactly as intended, while still introducing security weaknesses that aren’t immediately obvious.
The reality is that very little software is written entirely from scratch anymore.
Developers are assembling applications from multiple trusted and untrusted sources. That isn’t a bad thing—it’s how modern software is built—but it does change how organisations need to think about security.
AI isn’t the problem. Blind trust is
There is a growing narrative that AI is making software less secure.
The truth is more nuanced. AI doesn’t automatically create insecure code, just as human developers don’t automatically write secure code.
The real danger begins when code is accepted without understanding what it actually does.
That could be:
- AI-generated code copied directly into production.
- A GitHub snippet solving a problem in seconds.
- An open-source package installed because it has thousands of downloads.
- Legacy code that nobody on the current team originally wrote.
- A third-party integration that has never been reviewed since it was first implemented.
- The common factor isn’t AI.
It’s trust without verification.
Every piece of code that enters your application should earn that trust.
Every line of code has a supply chain
When people hear “software supply chain”, they often think about large-scale attacks affecting global organisations.
In reality, every development team has a software supply chain.
Every dependency you install. Every API you integrate. Every SDK you rely on. Every AI-generated function you accept. Every external repository you clone.
Each one becomes part of your application and part of your security posture. Many vulnerabilities don’t originate from the code your team writes. They originate from code someone else wrote months or years ago.
The challenge is that these risks are rarely visible until something goes wrong.
Why continuous code scanning matters
Traditional security approaches were designed for a different era. Annual penetration tests remain valuable, but they provide a snapshot of your application at a single point in time.
Your software doesn’t stay still. Developers commit new code every day. Dependencies release updates every week. New vulnerabilities are disclosed constantly.
AI continues to generate new code. Your security posture changes every time your codebase changes. That’s why continuous code scanning has become such an important part of modern software development.
Rather than waiting until the end of a project, vulnerabilities can be identified while code is still being developed, reviewed and improved. Security becomes part of the development process instead of a final hurdle before release.
The earlier issues are identified, the easier – and less expensive – they are to resolve.
Building software you can trust
Secure software isn’t built by avoiding AI. It isn’t built by avoiding open source.
And it certainly isn’t built by expecting developers to manually inspect every line of code across a growing application.
It’s built by creating visibility. Knowing what code exists. Understanding where it came from. Identifying vulnerabilities before attackers do.
And giving development teams the confidence to release software without wondering what they’ve missed.
Modern development is moving faster than ever before. Security has to move with it. The organisations that succeed won’t be the ones that stop using AI or third-party software. They’ll be the ones that stop blindly trusting it.
Trust should be verified, not assumed
Every new feature, dependency, integration or AI-generated function becomes part of your application. Every change introduces opportunity – but it can also introduce risk.
The question isn’t whether your software contains code you didn’t write yourself. Almost every application does. The question is whether you know exactly what’s running inside it.
Hacka continuously scans your codebase, helping you identify vulnerabilities, software supply chain risks and insecure coding practices before they become costly problems. Don’t wait for an annual penetration test to discover what could have been found today. Scan your code before someone else does.
