Trucking Firms Face AI-Enabled Fraud Schemes

The trucking and logistics industry is experiencing a surge in AI-driven fraud, with criminals using generative and agentic tools to execute sophisticated impersonation and credential abuse schemes at scale. Industry experts say attacks are faster and more convincing, exploiting trust-based workflows and verification gaps. Companies are responding with layered defenses, including AI-based validation, stricter onboarding, multi-step verification, and expanded employee training. The use of AI tools is enabling criminals to exploit verification gaps, assume trusted identities, and move freight under false pretenses. The industry’s reliance on relationships and long-standing trust compounds the risk, with many transactions still moving quickly based on assumed familiarity. Data from Verisk CargoNet points to a trend of impersonation-based theft as a systematic and scalable criminal method, with organized networks refining their tactics and relying on credential harvesting to gain access to transportation systems. Companies are adopting their own AI tools, but face an additional layer of complexity, with agentic systems requiring careful management and clearly defined access and constraints. Establishing solid governance via an AI policy and working board is essential to mitigate the risks associated with AI-enabled fraud.