Occupational Fraud 2026: A Report to the Nations
ACFE's biennial global study of occupational fraud schemes, detection methods, perpetrators, losses and controls associated with reduced loss and duration.
References · ACFE
Public ACFE research, benchmarking reports, foundational guides and fraud-risk tools—classified for retrieval alongside Vivek’s essays.
Official ACFE public resources · Member-only material excludedACFE's biennial global study of occupational fraud schemes, detection methods, perpetrators, losses and controls associated with reduced loss and duration.
Benchmarking research on how organisations and fraudsters use AI, data analytics and emerging technologies, and how anti-fraud teams are preparing their controls.
Global occupational-fraud evidence covering scheme categories, reporting channels, behavioural red flags, control weaknesses and organisational responses.
Survey evidence on the adoption of generative AI, machine learning and analytics in fraud prevention, detection and investigation.
A practical ACFE self-assessment resource for reviewing an organisation's fraud-prevention processes and identifying opportunities to strengthen controls.
An introductory explanation of fraud, deception and the foundational concepts readers need before exploring schemes, controls and investigations.
A curated ACFE collection addressing fraud risks in government bodies, including corruption, payroll abuse, impersonation and technology-enabled schemes.
ACFE's public directory of free case studies, data, reports, tools and introductory anti-fraud learning resources.