AI coding assistants are transforming how developers write software. Tools like GitHub Copilot, ChatGPT, and IDE plug-ins provide real-time suggestions that speed up development, but they often fail to address security risks.
Speeding up development with AI coding—at a cost
Generative AI helps developers code faster. From writing full functions to refactoring legacy logic, these tools save time. But their suggestions don’t come with explanations or insight into security practices. What looks like a good solution might introduce vulnerabilities if developers aren’t trained to spot the risks.
What’s hiding in AI-generated code?
Because AI is trained on public datasets, the code it generates may not always meet the highest security standards. It can introduce hidden risks and bad security practices without warning, leaving vulnerabilities in the code. Common issues include:
- Hardcoded secrets like passwords and API keys
- Weak or outdated cryptographic methods
- Poor input validation, opening doors to injection attacks
- Vulnerable third-party libraries that go unnoticed
When these insecure patterns slip into production, they can create real security risks. In some cases, using AI for help may cause more damage than writing the code manually, especially if no security review is built into the workflow.
How secure AI-assisted development actually works
To be clear, the goal isn’t to avoid AI completely. It’s about aligning it with the right security practices, beginning with embedding security into the development process itself.
Security-focused teams incorporate automated testing tools from the start, catching vulnerabilities as developers create code. They also equip developers with the knowledge and skills to spot insecure suggestions before they are integrated.
Make developers part of the solution
Developers shape your application’s security with every line of code. By providing them with threat-aware tools, real-time feedback, and contextual training, you turn them into your strongest defense against risk.
Accelerate developer productivity by minimizing time spent on fixes and rework. A developer-first approach embeds security into the workflow, addressing issues proactively rather than reactively. This shift not only enhances efficiency but also enables developers to produce more secure, high-quality code from the start.
OpenText and Secure Code Warrior: Built-in security without slowdowns
OpenText Core Application Security (Fortify) and Secure Code Warrior work together to embed security directly into your development lifecycle.
- OpenText provides automated static and dynamic analysis, catching risks as develops write code.
- Secure Code Warrior delivers framework-specific training that helps developers avoid insecure patterns in the first place.
Together, they support faster and safer development, reducing vulnerabilities without slowing your team down. Learn how they help secure your AppSec pipeline.
