Flagright Transaction Monitoring
Configurable transaction and activity rules with historical tests, live shadow feeds and risk-based thresholds.
Supplier popularity69%Flagright
Player-linked monitoring rules and watchlist checks for financial crime operations.
Popularity69%Explore the offering
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Flagright Watchlist Screening
Configurable sanctions, PEP and risk-list matching with onboarding checks, delta monitoring and investigation evidence.
Supplier popularity69%About Flagright
Flagright supplies financial crime software for transaction monitoring, screening, risk assessment and investigations. Its gaming offering covers sportsbook and casino activity alongside deposits, withdrawals and player identity evidence. Teams can define controls by market, currency, product and customer risk, while retaining a shared player context for separate AML and responsible-gambling review queues.
A deployment starts with the operator’s data and decision policy. Specify the events delivered by the PAM, cashier and other systems, then test how alerts and permitted control requests reach the right team. Flagright documents historical simulation and live shadow rules before production. A configured integration can support operational decisions; an integration listing or a risk flag does not establish a completed account intervention or resolve the operator’s regulatory duties.
Where this supplier fits
Operator compliance and risk teams that need configurable transaction monitoring and customer screening across products.
Company-level capabilities
- Cross-product player context
- Historical and shadow rule testing
- Risk-based transaction thresholds
- Configurable sanctions and PEP matching
- Investigation and audit workflows
These reflect the supplier's public descriptions. Check individual products for scope; a company capability does not automatically apply to every offering.
Questions for your evaluation
Use these to confirm the details for your business and market.
- Which player, payment and gameplay events must we supply?
- How are rules tested and approved before production?
- Which alerts require AML review, player-protection review or a controlled system action?
Commercial-reach estimate
Flagright popularity
An estimated index of documented commercial footprint and geographic reach. It is not market share, customer satisfaction or a product recommendation.
Commercial footprint 80% weight100+ customer organisations
Current homepage states 100+ customers worldwide, without a reporting date.
Scope: Supplier-wide B2B customer footprint across financial services and other reviewed verticals. This is not a gambling-only operator total or adoption of an individual product.
View sourceGeographic reach 20% weight35+ countries with customer operations
Current About page states that financial institutions in 35+ countries trust Flagright, without a reporting date.
Scope: Countries linked to supplier customer financial institutions across verticals. This is not gambling licensing coverage, filing-format availability or a product rollout count.
View sourceSource review confirms the recorded declaration, not an independent audit of every customer. Brands, customer groups and merchants are different units. Employee and follower counts do not affect this score.
Supplier-wide B2B customer footprint across financial services and other reviewed verticals. This is not a gambling-only operator total or adoption of an individual product. Missing inputs remain null and undated reporting dates remain null. Workforce is context only.
Popularity methodologyBuyer questions, answered
Does Flagright explicitly support gambling operators?
Its current gaming page covers sportsbook and casino players, deposits, withdrawals, betting and gameplay. It describes connecting these signals into player-level monitoring and review workflows.
SourceCan we test a rule before analysts receive its alerts?
Transaction Monitoring documents historical backtesting and live shadow mode. Shadow rules create a private alert feed so teams can assess behaviour before moving the rule into production.
SourceWhich screening datasets can we use?
Watchlist Screening describes native sanctions, PEP, related-person and adverse-media coverage, customer-owned provider feeds and internal watchlists. Agree the included data subscriptions and matching configuration.
Source