Organisations need to ensure they are following best practices in deploying secure systems or risk exposure to data theft, ransomware, and other attacks as a result of AI infrastructure-level risks from a diverse range of components, warns cyber security specialist Trend Micro.

The report highlights several AI-related security challenges including vulnerabilities in critical components, as well as accidental exposure to the internet where rushed development and deployment timelines can lead to unintended access.

Many AI frameworks and platforms use open-source software libraries to provide common functionality. Trend Micro warns that open-source components often contain vulnerabilities that end up creeping into production systems, where they are hard to detect.

Rachel Jin, chief enterprise platform officer at Trend, said: “AI may represent the opportunity of the century for global businesses. But those rushing in too fast without taking adequate security precautions may end up causing more harm than good. As our report reveals, too much AI infrastructure is already being built from unsecured and/or unpatched components, creating an open door for threat actors.”

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