Shufti announced Transaction Trust Monitoring (TTM) on 10 September 2026, presenting a fraud and anti-money laundering workflow with AI-assisted rule creation, investigations and reporting. Its launch announcement lists iGaming operators among the businesses able to access the product.
From a risk scenario to a reviewable rule
The company says users can describe a monitoring scenario in everyday language and have the AI rule builder generate a rule, then test it against 90 days of historical data.
Shufti’s technical documentation describes transaction checks using customer risk, transaction amounts, locations, banking details and behavioural measures such as velocity and dormancy. Rule categories include deposit volume, device health, sanctions and fraud patterns. Thresholds can be configured for a client’s business model, and historical transactions can also be reviewed in batches.
Human approval remains part of reporting
According to the announcement, AI can prepare investigation material and draft reports, but the money laundering reporting officer reviews and authorises filings. The system can work alongside existing KYC and case-management tools. These are supplier-described capabilities; the announcement does not establish performance at a named gaming operator.
What an operator can test
A useful pilot would compare the generated rules with rules the compliance team already understands. That creates a practical way to examine alert volume, missed cases and the time needed to review an investigation.
Teams can also test whether another analyst can reconstruct why a case was escalated. Faster rule creation has limited operational value if the resulting logic, evidence or approval history cannot be reviewed later.