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'Tech debt coming due': AI-found flaw signals chaos ahead

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'Tech debt coming due': AI-found flaw signals chaos ahead

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The vulnerability to potential hackers was found by using a powerful model from OpenAI in one of the most high-profile demonstration of AI's cyber capabilities.

Companies and government agencies rushed this week to patch two critical flaws in PHP, the programming language that runs a large share of the world's websites. The vulnerability to potential hackers was found by using a powerful model from OpenAI in one of the most high-profile demonstration of AI's cyber capabilities. AFP spoke with Michael Daniel, president of the Cyber Threat Alliance and a former White House cybersecurity coordinator under former US president Barack Obama, about what the episode means as AI tools find software flaws faster than ever.

The interview has been edited for length and clarity. Q: What does the PHP episode tell us? A: This is the beginning of a pretty chaotic period, given the abilities of the advanced models. I've been saying for years that the logical conclusion of these AI models being able to find vulnerabilities at speed and at scale is that there's going to be a flood of these vulnerabilities. Rob Joyce [former cybersecurity director at the US National Security Agency] has referred to it as the great cleansing forest fire of old software. I've talked about our tech debt coming due. The incentives have been for people to keep software as long as possible, and we don't really factor these risks into the cost of having the software.


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