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This article centers on how advanced AI models are autonomously discovering and exploiting critical vulnerabilities in web infrastructure, marking a shift toward an era of accelerated cyberattacks. OpenAI's involvement highlights the dual-use nature of these tools, where the same technology used to find bugs is also being leveraged by malicious actors to compromise up to 70% of websites. The piece argues that proactive AI-driven security testing has become essential for organizations facing this new threat landscape.
Sources coveringFortune, LessWrong, The Verge, METR
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

The PHP bug marks a dangerous new era for the internet. OpenAI’s poised to cash in

Fortune8 min read

OpenAI helped lead the disclosure of a critical issue that could take down 70% of the web. It's also selling tools it says will help prevent this—and similar issues—from happening.

Welcome to Eye on AI. Emily Forlini here, filling in for Beatrice Nolan. In today’s issue: I’ve been covering the growing number of AI-powered hacks for months now, going back to when OpenAI’s models autonomously attacked Hugging Face in July. Ever since then there’s been a steady drumbeat of incidents, and this month the tempo of alarming cyber news picked up considerably. There have been more than 20 cybersecurity incidents in October, many just this week. The internet may officially be entering a new era, one in which sites are inherently less safe than they used to be. Cybersecurity paranoia is becoming table stakes for anyone who aims to conduct business online. Some are saying that the new “moat” for businesses is becoming how well they can protect their customers and IP from from AI-powered cyberattacks—not necessarily what that IP or customer base actually is. Security professionals have long been warning that increasingly powerful…

Excerpt shown under the publisher's RSS terms · 154 words · full text and figures are on the publisher's site

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