One in five security breaches now thought to be caused by AI-written code

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  • Vibe coding is widespread, but so are vulnerabilities in AI-generated code
  • No one really knows who’s ultimately responsible for AI code
  • AI and humans both have roles in development

New research has claimed more than two-thirds (69%) of organizations have found vulnerabilities in AI-generated code, even though 24% of production code is now written by AI globally.

The State of AI in Security & Development report from Aikido Security found despite companies pushing AI agendas to improve efficiency and boost output, security teams (53%), developers (45%) and mergers (42%) still get the blame when AI code goes wrong.

Aikido says this is creating confusion over the ownership of AI-caused vulnerabilities, which could ultimately make them harder to track down and remediate.

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AI-generated code isn’t perfect

“Developers didn’t write the code, infosec didn't get to review it and legal is unable to determine liability should something go wrong. It's a real nightmare of risk,” Aikido CISO Mike Wilkes noted. “No one knows who’s accountable when AI-generated code causes a breach.”

In Europe, 20% of companies have had serious incidents, while their US counterparts have seen more than twice as many (43%), which Aikido puts down to two factors: the higher likelihood that US developers would bypass security controls (72% vs 61%), and Europe’s stricter compliance. Still, half (53%) of European companies admit to having near misses.

AI tools might not be the enemy, but having an overly complicated ecosystem could be. The report reveals how 90% of those using six to eight tools experienced incidents, compared to 64% of those using just one or two tools.

Remediation time also gets prolonged for those using more tools (3.3 days for 1-2 tools vs 7.8 days for 5+ tools).

The outlook is more positive, though. Most (96%) agree that AI will eventually write secure, reliable code in the next five years, with nearly as many (90%) believing AI will be able to handle penetration testing within 5.5 years.

Better still (for the workforce), only 21% think this will happen without human oversight, highlighting the importance of human workers in the development process.


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With several years’ experience freelancing in tech and automotive circles, Craig’s specific interests lie in technology that is designed to better our lives, including AI and ML, productivity aids, and smart fitness. He is also passionate about cars and the decarbonisation of personal transportation. As an avid bargain-hunter, you can be sure that any deal Craig finds is top value!

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