Ivan SkulaAI works in fraud detection, but it needs representative data, useful labels, active supervision and people who can govern it. Check your pantry before you promise the result.
Ivan SkulaBehavioral analytics reads the hands on the device: keystroke rhythm, swipe arc, how a phone is held. It exposes bots and account takeover. It tells you who is operating the session, never why.
Ivan SkulaThe UAE moved first beyond SMS OTP, and GCC beneficiary checks preceded Europe. Neither confirms genuine payment intent. UK data shows what followed: takeover losses down 27%, authorized push payment up 19%.
Ivan SkulaHundreds of requirements in phase one is not ambition, it is a program-killer. A step beats a leap, the constraint is your own maturity rather than the vendor's, and customization is a symptom rather than a feature.
Ivan SkulaThree old sayings decide whether requirements survive an implementation, so measure them cheaply, rank requestors as well as requirements, and put one name on every promise.
Ivan SkulaOn time and on budget is the vendor's definition of success. Five roles, five scorecards, and one question nobody can answer, namely who owns fraud end to end.
Ivan SkulaFraud tech spend doubles while losses quadruple. The gap is not technology, it is delivery. Series opener on why fraud implementations fail predictably, and therefore preventably.
Ivan SkulaVendors say RAG eliminates hallucinations. Research says otherwise. What fraud teams should test before trusting AI answers.
Ivan SkulaAs AI agents automate decisions, phishing evolves beyond emails and websites into attacks on trust, logic, and agent-driven workflows.
Ivan Skula22 years of Facebook taught fraudsters how to weaponize trust, social graphs, and ads faster than banks learned to defend against them.
Ivan SkulaFraud is connected and contextual. Graph analytics adds layer of context to boost detection, triage, and uncover what rules and ML on their own can’t.
Ivan SkulaReady for the Digital Dirham? We're breaking down the customer benefits and fraud challenges of the UAE's new CBDC, so you're not caught off guard.
Ivan SkulaComposite AI fights fraud smarter by combining ML, rules, graphs & behavior analytics. Real cases show why silos lose & synergy wins.
Ivan SkulaOutsmart fraud with synthetic data: generate on-demand fake scenarios to train, test, and stress-test your rules and models - privacy-safe, scalable, and bias-free.
Ivan SkulaMastering fraud solution implementation means having a great executive sponsor and company-wide support. Key factors include leadership, clear priorities, and effective communication to ensure project success.
