Topic hub
iGaming risk and compliance analytics
Everything the team writes on player protection, audit trails, bonus abuse and access, gathered in one place and linked to the work it supports.
Why this matters
The shape of the problem.
Risk and compliance in iGaming is rarely short of data. The harder part is turning a signal on one screen into a decision that another system respects, and leaving a trail a regulator can follow months later. These pieces take that view: a control is only real where it is enforced, and an audit trail is only useful if it survives the handover between systems.
The reading below groups into two threads. The first is player protection and responsible gambling as an operating workflow, not a label on a policy page. The second is the harder edges: the audit trail an MLRO actually needs, finding bonus abuse before it adds up, and keeping collaboration from quietly widening who can see player data.
Each article is written for the people doing the work, and each links to the full Client library guide where one exists. Nothing here promises automatic enforcement or guaranteed outcomes: the point is to help a team ask the right question, review the evidence and record the decision.
Thread 01
Player protection as a workflow
Responsible gambling and compliance treated as operating practice, not a label.
- Responsible gambling is a workflow, not a labelA protection programme is judged on what happens after a risk signal, not on the dashboard that shows it. A note on cases, ownership and suppression.6 min read
- When growth and compliance share the same logicMost operators run marketing and player protection on separate systems, which is how a vulnerable player receives a reload offer. A note on one shared view.6 min read
- Collaboration should not widen who can see the dataThe usual way analysis gets shared, a screenshot in a chat, quietly defeats every access control. A note on collaboration that respects the permissions you set.5 min read
Thread 02
Audit, AML and abuse
The trail a regulator can follow, and the patterns worth catching early.
- Regulator-ready by default: the audit trail an MLRO needsAccountability lives in email threads until a regulator asks. A note for compliance officers and MLROs on an audit trail that is ready by default.5 min read
- The negative-contribution player: finding bonus abuse before it adds upA promotion worked as designed can still be worked against you. A note on spotting repeated negative-contribution patterns and quantifying the exposure.5 min read
Go deeper
Full guides in the Client library.
The public preview is open to everyone. The full guide is for customers and pilot partners.
- Customers onlyConnecting player protection to decision workflows: an architecture reviewA reference design for current account checks, decision gates, evidence trails and human review across iGaming operational systems.Read the preview
- Customers onlyWorking the KYC verification queue with an audit trailA method for working an iGaming KYC verification queue: reading levels and pending accounts, prioritising review, and keeping access and consent events on record.Read the preview
For this team
See it from the team's side.
FAQ
iGaming risk and compliance: common questions
What does Bounty do for a risk and compliance team?
It gives the team one place to ask questions of the operation's own data, review the evidence behind an answer, and keep a record of who looked and what they decided. It does not enforce a control or block a payment on its own: people make the decision, Bounty helps them see and record it.
Does using Bounty widen who can see player data?
No. Access follows the roles you already set, and sharing an answer does not grant anyone new access to the data behind it. The article on collaboration and access covers how that boundary holds.
Can an auditor follow what happened?
That is the aim of the audit-trail work: login, access and consent events stay on record, so a review can reconstruct what was seen and when. The regulator-ready article and the player-protection guide go into the architecture.
Ask Bounty about your own data.
Book a pilot. We set it up in your environment, on your data and your definitions.
Pilot: your data, in your environment. Demo: sample data, access reviewed within one business day.