iGaming Fraud Prevention
AI-powered fraud signals and player-level investigation for iGaming
Fraud Prevention is Kavya’s intelligence layer for detecting suspicious behavior early and protecting operational performance. Built on Kavya AI, it continuously monitors player and transaction patterns, surfaces fraud signals, and helps teams investigate any user with a comprehensive, explainable profile—so decisions are faster, consistent, and backed by real data. This is designed for iGaming realities: high velocity, high variance, bonus exposure, payment friction, and coordinated abuse.
What Fraud Prevention does
Kavya Fraud Prevention helps you identify and manage risk without relying on intuition or manual spreadsheets:
- Detects suspicious patterns across gameplay, payments, bonuses, and account behavior
- Creates fraud signals and risk scores that your team can tune to your policies
- Highlights abnormal activity spikes and coordinated behavior clusters
- Provides a player-level investigation view for fast review
- Generates AI summaries and recommendations for next steps
Fraud graph
Kavya AI
Always-on fraud detection (Kavya AI signals)
Kavya AI continuously evaluates behavior and produces actionable fraud signals such as:
Multi-accounting & identity abuse signals
- linked accounts through shared attributes (device, IP ranges, payment fingerprints where available)
- repeated sign-up patterns and abnormal account creation bursts
- suspicious similarity across behavior and timing
Bonus abuse & promotion exploitation signals
- bonus capture patterns inconsistent with organic play
- abnormal wagering completion behavior
- repeated promo cycling across accounts
- profitability distortion driven by incentive misuse
Payment manipulation & transactional risk signals
- rapid in/out patterns (deposit → minimal activity → withdrawal)
- unusual withdrawal cadence or timing changes
- high failure rates suggesting scripted attempts or method testing
- method hopping behavior that correlates with disputes
Gameplay pattern anomalies
- unnatural betting rhythms, repetitive patterns, or extreme behavior shifts
- abnormal win/loss distributions relative to baseline
- coordinated activity spikes that suggest organized abuse
Affiliate & traffic-quality fraud signals
- suspicious cohorts tied to specific sources or partners
- concentrated behavior patterns within one acquisition stream
- irregular spikes that don’t match expected engagement curves
Each signal is designed to support internal review—fast, structured, and explainable.
Operational tools that make fraud prevention work
Watchlists & internal status — mark players, add notes, track decisions, keep history in one place.
Risk thresholds & rules — define what triggers review, escalation, or additional scrutiny.
Team routing — assign owners by role so suspicious activity never sits unhandled.
Executive alerts — notify key stakeholders via Slack, Telegram, or WhatsApp for high-impact incidents.
Benefits of Kavya Fraud Prevention
Catch issues earlier — detect suspicious behavior before losses escalate
Faster investigations — AI summaries and structured evidence reduce manual work
Consistent decisions — unified signals and logic across teams and shifts
Lower abuse leakage — control promo exploitation and coordinated behavior
Operational accountability — ownership, routing, and documented history
Turn risk into controlled operations
Fraud Prevention helps iGaming teams protect revenue, reduce abuse, and move faster with confidence. Powered by Kavya AI, it turns complex behavioral data into clear fraud signals and investigation-ready insights—so your team stays ahead of fraud, not behind it.