Industry Contributions
Articles, webinars and professional contributions exploring the practical challenges behind fraud transformation - connecting data, analytics, technology, operating models and human decision-making.
Using AI to connect the dots
How rules, machine learning, anomaly detection, graph analytics, behavioral signals and human investigation can work together - and what it takes to connect their signals into better fraud decisions.
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Topics can be adapted for leadership teams, fraud practitioners, technology audiences and professional communities.
As Deepfakes Rise, Trusted AI Becomes a Business Imperative
Why deepfakes and AI-enabled fraud make trust a business-security concern - and why organizations need explainable, responsibly governed AI alongside stronger identity and fraud controls.
Lessons from the preparation, implementation and operation of fraud solutions. The session examined how ownership, data readiness, delivery choices and investigation capacity influence whether technology investment produces lasting value.
Why social engineering works, how technology amplifies manipulation, and how fraud teams can adapt. The session distinguished account takeover from authorized-payment scams and explored the behavioral, device and transaction signals needed to detect them.
How relationships between identities, accounts, devices and transactions reveal coordinated fraud. The session covered graph visualization and analytics, applications from onboarding to money-mule detection, and the data foundations needed to put them into practice.
A panel discussion on the role of data and analytics in understanding fraud risk, identifying patterns, supporting investigations and strengthening fraud prevention across organizations.
A career profile covering the path into fraud consulting, the value of combining domain and technical knowledge, professional development, and practical advice for people entering fraud and forensic work.
