Sumsub

Know Your Player

iGaming Fraud & Compliance Day 2026

Join Sumsub's annual online event for iGaming operators. Get straight answers from compliance, fraud, and AI experts on what's coming for the industry over the next few years, and how to prepare before it lands.

Date: September 22, 3 p.m. CEST

About
the event

Three sessions, 90 minutes, one clear picture of where iGaming compliance is heading. Find out the regulatory changes platforms and operators need to prepare for, the fraud schemes turning into compliance breaches, and where AI is truly pulling its weight in KYC, AML, and fraud prevention.

When
September 22,
3 p.m. CEST
Kris Galloway

Moderator

Kris Galloway

Head of iGaming Product at Sumsub

Read more
Agenda

3:00 p.m. CEST

3:00 p.m. CEST

Kickoff and Welcome

Session 1 (Keynote)
25 min
3:05 p.m. CEST

Session 1 (Keynote)
25 min
3:05 p.m. CEST

Compliance 2.0: What every licensed
iGaming operator needs to prepare
for in the next 3 Years

The line between must-have and nice-to-have compliance is no longer simple. This session maps the changes coming over the next three years, what regulators will expect from operators, and where compliance teams should put their money first to stay competitive.

Session 2 · 30 min
3:30 p.m. CEST

Session 2 · 30 min
3:30 p.m. CEST

Next-gen fraud schemes in iGaming

Fraud in iGaming has moved well past stolen cards and simple multi-accounting. This session breaks down the schemes hitting operators right now, from deepfake KYC and synthetic identities to collusive laundering and crypto-fueled anonymity, and shows how each one can quietly become a regulatory breach (fines included) before anyone notices.

Session 3 · 30 min
4:00 p.m. CEST

Session 3 · 30 min
4:00 p.m. CEST

AI is reshaping iGaming. Are we
ready?

AI promises a lot in iGaming and delivers on some of it. This session sorts the two, looking at where AI already earns its keep in KYC, AML, fraud prevention, and player risk scoring, how to cut manual reviews without adding compliance risk, and how to govern models so regulators trust the output.