The New Chapter in Programming Language Is A New Compliance Headache For Enterprises
Key Takeaways
AI Tools and Software Development
AI is shaking things up for developers. Tools like GitHub’s Copilot are making coding faster and more efficient, but there are still some big concerns about fully trusting AI coding. As companies quickly adopt GenAI tools, many are cautious about how they fit into their employees’ workflows. Let me explain why AI code writers are something to get excited about, the challenges they bring, and why companies need to lay down some ground rules to safely use AI code tools.
A Real World Example
Recently, a Fortune 100 company approached Copyleaks with a significant question: How can we use these AI tools safely? They want to use an AI code writer like GitHub Copilot to speed up their development process. This will help make their developer teams more efficient. But, as with anything new and shiny, there’s a catch. Their compliance team halted the research midway due to serious concerns about how the tech fits their security and data privacy systems.
The compliance officer also emphasized that AI tools like GitHub Copilot aren’t always creating new code from scratch. Instead, these systems act more like DJs remixing existing source code into new uses and outputs. This means the code you’re getting from these AI tools isn’t always original and might have some baggage, like open-source licensing issues. This specific example is similar to that of many other companies as they are trying to implement AI into their team’s tech stack. They’re excited about AI’s possibilities but highly wary of its pitfalls.
Their compliance team also emphasized that AI tools like GitHub Copilot don’t always create new code from scratch. Instead, these systems act more like DJs remixing existing source code into new uses and outputs.
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Where Copyleaks AI Detection Comes In
Here’s how Copyleaks uses a tool designed to make AI coding possible in an enterprise setting. Picture this: you’re a developer working on software development, and you’ve been tasked to write a new programming language. You decide to use GitHub Copilot to help the source code. It’s fantastic because the Github Copilot AI technology handles the boring, repetitive stuff, letting you focus on the more fun aspects of the project. But here’s the thing—without some oversight or code analysis, you might unknowingly end up using source code with licensing restrictions attached, and the next thing you know, trouble comes knocking for you and your company.
This is where Copyleaks comes in. We help companies track their actions with AI-generated code through our Governance, Regulation, and Compliance (GRC) offering. Our AI governance products allow you to actively monitor your developers’ output alongside post-output auditing to see if any programming language created with AI tools contains a code snippet with a license. Detecting AI-generated code is crucial because it lets you know if you’re legally compliant and on solid ground. It keeps your team compliant with any regulations you wish to institute across the organization.
Another one of the biggest challenges with AI-generated code is that it can’t always be copyrighted. Current laws don’t consider fully source code from AI models as something you can own, which means you risk facing legal trouble if you’re not careful. By offering clear insights into where the source code comes from and how it’s licensed, we can help navigate these tricky waters and help in legal settings to ensure your code stays your code.
Why Does This All Matter?
In the grand scheme of things, AI code generators are a game-changer for the coding world, but with all this potential comes a lot of responsibility. This technology is advancing rapidly, as are the laws and ethical considerations accompanying it. It’s up to all of us—companies, developers, and regulators—to ensure that the use of AI in coding is safe, legal, and responsible.