Effective Interventions Against AI-Enhanced Scams
With AI-augmented scams driving an estimated $442 billion in global losses, this study maps which interventions actually reduce victimisation — directly applicable to enterprise anti-fraud and awareness programmes.
Summary written by editorial AI · Source link below
arXiv:2609.00806v1 Announce Type: new Abstract: In 2025, scams were responsible for an estimated $442 billion in direct losses globally. In the United States, reported losses increased by nearly 400% between 2020 and 2025. Though AI in scamming is a relatively new phenomenon, its use significantly changes the economics of scams as well as the bottlenecks in scam operations. In this paper I investigate what interventions will remain effective under this new AI-driven scamming regime. I develop
Editorial Analysis
AI-powered social engineering is rapidly eroding traditional anti-fraud defences; evidence-based intervention strategies give CISOs a concrete upgrade path for awareness programmes.
Review the study's effective-intervention categories and map them against your current anti-phishing and anti-fraud controls.
AI-enhanced scams now drive hundreds of billions in losses; evidence-based countermeasures should inform board-level fraud-risk discussions.
Forward-looking interpretation drafted by editorial AI under human review — not a reproduction of the source. See methodology.
External link — opens at arXiv Crypto & Security in a new tab.
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