AI Turns Into Both Threat and Shield in Supply-Chain Cyberattacks

 

Artificial intelligence is emerging as both a growing cybersecurity risk and a critical defence tool for supply-chain companies. As warehouses, factories and logistics networks adopt connected sensors, GPS tracking, tablets and automated equipment, every new digital connection can potentially give attackers another route into operational systems. 
Recent incidents underline the scale of the threat. Uber Freight disclosed unauthorized access to part of its systems and data in mid-August, while Ceva Logistics reported a breach affecting multiple companies and exposing customer information. Coca-Cola dairy brand Fairlife was also struck by ransomware, temporarily suspending its US operations. Such attacks can halt production, delay deliveries and cause time-sensitive products to spoil. 
The consequences can extend well beyond the directly targeted business. When Jaguar Land Rover suffered a cyberattack last fall, its production remained halted for six weeks, disrupting suppliers and reportedly contributing to the failure of some smaller companies. Software supply-chain attacks create an additional danger because compromised code can spread malware across many organisations using the same tools or automated systems. 
AI-powered security systems can help companies identify unusual activity, scan code for vulnerabilities and flag deviations from normal system behaviour. When a potential weakness is detected, organisations can deploy patches quickly before attackers exploit it. However, technology alone is not enough. Employees across offices, plants and warehouses need training to recognize phishing attempts, protect privileged access and use strong password-management practices. 
The challenge is becoming more difficult as criminals use AI to create convincing phishing emails, deepfake voice calls and fake videos that remove traditional warning signs such as poor grammar. Businesses are therefore reassessing supplier contracts, cybersecurity audits and third-party risk management. With more diversified supplier networks sharing inventory, operational and customer data, firms must ensure partners maintain comparable security standards and maintain incident-response plans. In an era when attackers can use AI to find weaknesses rapidly, using AI for defence is becoming essential.

This article has been indexed from CySecurity News – Latest Information Security and Hacking Incidents

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