AI may create a tidal wave of buggy, vulnerable software

Full Article
AI may create a tidal wave of buggy, vulnerable software

The reliance on generative AI for coding is leading to a surge in vulnerable software, as highlighted by Chris Wysopal, CTO of Veracode, at the Black Hat USA conference. He pointed out that generative AI tools, like Microsoft Copilot, produce code that is often less secure than that written by human developers. With only 20% of applications fixing security flaws effectively, the situation is worsening as software ages and new vulnerabilities emerge.

Wysopal emphasized that while generative AI can increase coding speed, it also introduces significant security risks. Studies show that code generated by tools like Microsoft Copilot is more likely to contain vulnerabilities, and developers often mistakenly trust AI-generated code over their own. To address these issues, Wysopal advocates for the development of specialized AI tools designed to identify and fix code errors, rather than relying solely on generative AI for coding tasks.

• Generative AI tools are increasing the rate of software vulnerabilities.

• AI-generated code is often less secure than human-written code.

Key AI Terms Mentioned in this Article

Generative AI

In the context of the article, generative AI is used to write code, but it often introduces security vulnerabilities.

Large Language Models (LLMs)

The article discusses how LLMs, when used for coding, replicate the flaws found in existing code.

Code Vulnerability

The article highlights the increasing rate of code vulnerabilities due to reliance on generative AI.

Companies Mentioned in this Article

Veracode

Veracode's CTO, Chris Wysopal, provided insights on the risks of generative AI at the Black Hat conference.

Microsoft

The article discusses how Microsoft Copilot contributes to the generation of insecure code.

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