AI Risk Scoring Engine

Applies machine learning models trained on millions of financial transactions to assess fraud risk in real time.

• Assigns dynamic risk scores to every transaction using hundreds of behavioral and technical indicators,
• Minimizes false positives to avoid interrupting legitimate activity,
• Continuously improves through reinforcement learning and feedback loops.

Behavioral Analytics Module

Builds dynamic user profiles to detect behavioral anomalies.

• Identifies deviations in user behavior such as unusual transaction patterns, device changes, IP anomalies, or access time irregularities,
• Ideal for detecting account takeovers, impersonation, and insider threats.

Anomaly Dectection Engine 

Detects previously unknown fraud patterns that rule-based systems often miss.

• Leverages unsupervised machine learning to uncover outliers and complex fraud tactics,
• Useful for identifying chain transactions, collusion, and timing-based fraud schemes

Real-time Alert & Action Module

Delivers instant alerts and enables rapid incident response.

• Sends real-time alerts via dashboard, email, or integrated internal systems,
• Triggers automated actions: transaction blocking, multi-factor verification, or flagging for manual review,
• Easily integrates into your existing risk management workflows.

Integration & API Gateway

Open and flexible architecture ensures seamless integration with your existing systems.

• Connects via secure RESTful APIs,
• Supports deployment on-premises or in cloud environments,
• Compatible with core banking systems, trading platforms, CRMs, and payment gateways,

• Complies with enterprise-grade security standards (OAuth2, OpenID Connect).

Compliance & Reporting Module

Built to support regulatory compliance and internal auditing.

• Logs all system activity, alerts, decisions, and transaction histories,
• Generates customizable reports for central banks, securities regulators, or international partners,

• Exports in standard formats: PDF, Excel, JSON.