Fraud
Cybersecurity statistics about fraud
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Most (58%) assume retailers can and should absorb the costs of fraud without a major impact on their business or prices.
A third (34%) of respondents argued that fraud up to £100 is permissible.
15% of respondents said they’d consider more serious retail fraud under the right circumstances.
Nearly a third face significant resource limitations in fighting FWA.
85% of respondents listed fighting fraud as a top five priority.
70% of the surveyed government fraud fighters have seen an uptick in AI-powered fraud attacks in the last five years.
Only 1 in 10 agencies have all the tools and resources they need to fight FWA.
12% of respondents knew someone working at a retailer involved in insider fraud.
Of the 1,100 government fraud fighters surveyed, nearly all claimed their agencies were victims of AI-powered fraud schemes.
Nearly a third face significant resource limitations in fighting FWA.
18% of respondents said they’d been exposed to influencers recommending retail fraud online.
The majority (82%) of respondents said they had heard about retail fraud from friends, family, colleagues, and classmates.
The use of network analysis for fraud detection is expected to expand from 32% to 87%.
6% of respondents knew someone working in fulfilment services involved in insider fraud
Slightly over a quarter of those surveyed are using Generative AI (GenAI) for addressing FWA.
The majority (82%) of respondents said they had heard about retail fraud from friends, family, colleagues, and classmates.
37% of respondents said they had heard about retaile fraud from friends.
International bad actors were responsible for up to 12% of all incoming applications for government services and/or loans in the study.
Fraud costs the federal government upwards of $500 billion annually.
78% of global business and technology leaders reported that their use of artificial intelligence (AI) has helped improve fraud detection and risk management.