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    Home»Cybersecurity»AI-discovered bugs may soon trigger fresh disruptions: Cyber experts
    Cybersecurity

    AI-discovered bugs may soon trigger fresh disruptions: Cyber experts

    aitoday7By aitoday7October 24, 2026No Comments5 Mins Read
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    AI-discovered bugs may soon trigger fresh disruptions: Cyber experts
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    AI helped drive a doubling of the number of digital flaws discovered year on year, according to research due to be published in the coming days by VulnCheck, a Massachusetts-based threat intelligence firm

    24 October, 2026, 01:50 pm
    Last modified: 24 October, 2026, 02:00 pm
    Computer code is displayed on multiple screens in this illustration taken on October 22, 2026. Photo:

    Advances in artificial intelligence have uncovered a stream of new software vulnerabilities that are almost certain to trigger more disruption along the lines of the outages that percolated across global government websites this week, according to seven cybersecurity professionals who spoke to Reuters.

    Matthew Prince, the chief executive of the digital infrastructure firm Cloudflare, told Reuters he was aware of “a bunch of additional severe vulnerabilities that are present in other pieces of critical software” and predicted busy months ahead as AI surfaced long-hidden weaknesses in the fabric of the internet.

    Keep updated, follow The Business Standard’s Google news channel

    “I think we’re going to have a couple of years where every single week it’s going to feel like the sky is falling,” Prince said in an interview on Thursday.

    The outages that spread across government sites in Europe and elsewhere beginning on Wednesday happened after the discovery of weaknesses in PHP, a venerable programming language that powers a huge swathe of the internet. Operators have been rushing to fix their software in anticipation of mass exploitation and, because some felt they could not patch before hackers jumped in, a subset simply took their sites offline until they could make them safe.

    VulnCheck researcher Patrick Garrity said the scramble to fix PHP came during an already busy week in cybersecurity. The week also brought disclosures of vulnerabilities in PHP alternative Node.js and streaming programme Plex, breaches tied to AI gateway LiteLLM and development platform Railway, and the revelation that the Indian certificate authority eMudhra had used an extraordinarily flimsy cryptographic key that potentially put users across the internet at risk.

    “If we just saw four or five things like this, this week, I would expect we’re going to see a lot more,” Garrity said. “I think there’s going to be a lot more fire drills for anything that’s internet exposed.”

    The codebases that run modern programmes are sprawling, and mistakes, or “bugs”, that open up potential avenues for exploitation often crop up in unexpected places.

    Previously, finding bugs required a baseline level of skill, and taking advantage of those bugs to build digital lockpicks – called “exploits” – could be expected to take weeks or months of work by an experienced professional.

    That would in the past have provided defenders a little breathing room to fix bugs and gently roll out software updates.

    AI has effectively thrown those assumptions out of the window. Models can find one bug after another by subjecting codebases to round-the-clock scrutiny, and can turn around exploits in hours. Shane Fry, the chief technology officer of Virginia-based RunSafe Security, said the demonstrated performance of AI models over the past few months had effectively laid to rest any doubts over whether they would change the industry.

    “What’s fundamentally, and unquestionably, changing is the timescale for not only finding vulnerabilities, but how quickly adversaries can weaponise them,” Fry said.

    While all the experts Reuters spoke to agreed that defenders’ timelines were getting shorter, they were split on whether AI would lead to a hacker free-for-all.

    Daniel Stenberg, the lead developer of the file transfer tool curl, argued the vulnerabilities found by AI models tended to be exotic bugs that were difficult for rogue actors to take advantage of. Ramy Rahman, a senior principal solutions engineer at cybersecurity company ArmorCode, said “more disclosed vulnerabilities do not automatically mean more successful attacks”.

    There was tentative evidence of that around the PHP vulnerability that drew worldwide concern this week. Threat intelligence firm Hunt.io said that – like Amazon and Cloudflare – it had seen aggressive attempts to take advantage of the bug. But the firm’s head of research, Esteban Borges, said that, as of 2 pm Eastern Time on Thursday (1800 GMT), the cybercriminals he tracked appeared to have failed to cobble together a working tool to take advantage of it.

    Prince, of Cloudflare, told Reuters he had seen anecdotal evidence of compromises linked to the PHP vulnerability.

    The deluge of AI-driven discoveries might rattle the industry, but would be a net positive in the end, he said, comparing it to slaying the monsters in a haunted house.

    The confrontation might be scary, he said, but leaving the monsters to lurk quietly behind closed doors was far worse.

    “The reality is, we’re going to get a lot of this stuff cleaned up,” he said.

    While most comments will be posted if they are on-topic and not abusive, moderation decisions are subjective. Published comments are readers’ own views and The Business Standard does not endorse any of the readers’ comments.

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