AI is about to force every company to update its software, all at once


Businesses and organizations must act now to prepare for a wave of vulnerability patches driven by artificial intelligence (AI). According to the UK’s National Cyber Security Centre (NCSC), all organizations have what it calls a “technical debt,” a backlog of technical issues resulting from prioritizing short-term interests over building long-term, resilient, and sustainable products.

AI tools can exploit this technical debt on a large scale and at a high pace across the technology ecosystem, the cybersecurity agency claims. As a result, the NCSC expects a “forced correction” to address the issue across all types of software, including open source, commercial, proprietary, and software-as-a-service (SaaS).

“This is why we are encouraging all organizations to prepare now for when a ‘patch wave’ arrives – a rush of software updates that will need to be applied across the technology stack to address the disclosure of new vulnerabilities,” Ollie Whitehouse, Chief Technology Officer (CTO) at the NCSC, states.

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The NCSC is urging organizations to review their patch management strategies to minimize their attack surface as soon as possible, for example, by installing updates across their entire environment.

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However, that's easier said than done. Due to end-of-life cycles, updates may not be possible to install. In such a scenario, the NCSC recommends replacing all legacy equipment.

In addition, businesses and organizations should prioritize “hot patching,” which is patching that doesn’t cause service disruption.

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The NCSC’s message is clear: proper planning now will prevent security issues later down the road.

The warning from the NCSC comes amid a broader shift in the cyber threat landscape, where attackers are leveraging automation and AI to exploit vulnerabilities more quickly. This shortens the time window between a flaw being discovered and being actively exploited, leaving organizations with less time to respond.

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Recently, Europol published a report detailing how cybercrime is evolving beyond traditional hacking and fraud, with criminal networks increasingly using AI technology, encryption, anonymization tools, and crime-as-a-service platforms to scale their operations.

One of the key findings is that AI tools are becoming increasingly common for tailoring social engineering tactics, accelerating and concealing online fraud schemes.


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