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ANALYSIS
The use of digital twins and advanced manufacturing technologies further intensifies the volume of valuable data. This information ranging from user behaviour patterns to proprietary designs is not only attractive to attackers but also becomes a tool for launching future attacks or selling on the Dark Web.
AI transformations in the automotive supply chain
AI is also transforming the automotive supply chain. Predictive maintenance for example – as opposed
AI is at the heart of this shift; transforming not only how vehicles operate, but also how cyberthreats are identified, mitigated and prevented. to scheduled or reactive vehicle maintenance, which until now has been the norm – enables companies to forecast part failures, optimise distribution and reduce warehousing costs. AI can analyse and synthesise so many data streams that this guessing game becomes much more accurate. Not only does this mean more reliable vehicles for the consumer, but it also means that each element of demand can be optimised.
Driver behaviour analysis and in-cabin monitoring systems powered by AI are also enhancing safety, particularly for long-haul truck drivers exposed to risks such as fatigue and theft. These AI-powered innovations are already helping companies reduce operational costs while improving customer satisfaction.
Strengthening security across the supply chain means embedding real-time monitoring, mapping data flows, and building a fast, co-ordinated response to incidents. The introduction of cyberresilience principles encouraged by regulatory bodies requires organisations to maintain robust
Alain Penel, VP of Middle East, CIS and Turkey at Fortinet
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