Risk signals are evaluated in parallel (SEON, IP analysis, behavior patterns, device fingerprint). Results feed an evaluator-optimizer that refines risk scores.
Evaluation
4 metrics defined
Error Handling
3 scenarios covered
Self-Improvement
3 human checkpoints
Phase 1: Foundation
Foundation. Withdrawal automation and fraud prevention are day-one requirements. Blocks wallet automation.
Withdrawal Risk AgentApplies the combined risk score to withdrawal requests. Auto-approves low risk, escalates high risk.medium
analystrouter
Bonus Abuse AgentDetects and acts on bonus abuse patterns — wagering manipulation, arbitrage, and systematic exploitation.medium
monitor
Greco Shadow AgentLearns from Greco's outputs to build internal risk models. Tracks accuracy to eventually reduce Greco dependency.medium
monitorgenerator
OSINT Investigation AgentConducts open-source intelligence investigations on flagged players. Cross-references usernames, emails, wallet addresses, and social media profiles against public databases, blockchain explorers, breach datasets, sanctions lists, and dark web forums. Builds evidence dossiers for high-risk cases. Identifies connections between accounts, links to known fraud rings, and validates player identities against public records. Feeds findings into the Risk Orchestrator for scoring adjustments.medium
generatorguardiancommunicator
Risk Orchestrator AgentSynthesizes all risk signals into unified risk scores, manages escalation thresholds, reports to you.complex
KYC/AML AgentManages identity verification workflows, sanctions screening, and suspicious activity reports. Feeds AML findings to Compliance for regulatory reporting.medium
analyst
Responsible Gambling AgentMonitors for problem gambling markers - loss chasing, session length, deposit frequency spikes. Detects at-risk players and triggers intervention workflows.medium
monitor
Agents Used From Other Departments
These agents from other departments feed data into or are called by this department's agents.