Fraud Management
Fraud Management
Infodata Professional Services offers a robust, AI-driven Fraud Management solution that enables financial institutions, telecoms, eCommerce platforms, and digital service providers to detect and prevent fraudulent activity in real-time. Designed to adapt to emerging fraud patterns, our platform helps businesses safeguard digital transactions, protect customer identities, and stay compliant with regulatory mandates.

Key Use Cases

Fraud Management
  • Account Takeover Protection

    Fraudsters use stolen credentials to gain unauthorized access to legitimate user accounts. Infodata detects abnormal login behavior, device anomalies, and IP inconsistencies—blocking intrusions before they result in financial loss or reputational damage.

  • Financial Services

    Banking & Fintech Prevent transaction fraud, synthetic identity use, and unauthorized fund transfers across online and mobile banking channels. Real-time detection ensures swift intervention before damage is done.

  • Telecommunications

    Mitigate SIM swap fraud, unauthorized number porting, and identity spoofing. The system continuously monitors user identity and device consistency to flag potential threats.

  • eCommerce and Digital Payments

    Prevent fake account creation, coupon abuse, checkout fraud, and bot-driven purchase manipulation. Behavioral analytics and device fingerprinting ensure only genuine users can transact.

  • Multi-Institution and Cross-Border Fraud

    Identify fraud rings and coordinated attacks that span across financial entities and geographies using AI correlation and risk scoring.

Key Features of Infodata’s Fraud Management Solution

  • Real-Time Detection and Prevention

    Instantly flag and stop suspicious activities using AI-powered behavior models that learn from user interactions and continuously adapt to emerging threats.

  • Account Takeover Detection

    Identify ATO attempts through behavioral biometrics, login pattern anomalies, unusual device or geolocation activity, and simultaneous session tracking. Multi-factor re-authentication is triggered for suspicious logins.

  • SIM Swap and Identity Spoofing Protection

    Monitor telecom events to detect number reassignments and unauthorized SIM changes. Reduce fraud related to one-time-password (OTP) hijacking and mobile account breaches.

  • AI-Powered Risk Scoring

    Automatically assign a risk score to every transaction or session using machine learning models. Scores are based on behavioral profiles, device reputation, transaction history, and geo-location tracking.

  • Multi-Layered Authentication

    Strengthen access security with a layered approach—combining device fingerprinting, biometric verification, OTP, CAPTCHA, and behavioral analysis.

  • Customizable Rules Engine

    Configure fraud detection rules tailored to your business model and regulatory needs—no code required. Deploy instantly and adjust dynamically as fraud trends evolve.

  • Omnichannel Monitoring

    Track interactions across web, mobile apps, call centers, USSD, and APIs in real-time to detect cross-channel anomalies and fraud attempts.

  • Actionable Dashboards and Alerts

    Gain deep visibility into fraud attempts, investigation logs, case workflows, and compliance reports—empowering teams to act swiftly and decisively.

  • Scalable and Flexible Architecture

    Whether on-premise or cloud-based, our solution scales to support millions of events per day while maintaining high-speed analysis and low-latency responses.

Infodata’s Fraud Management solution empowers your business to outsmart fraudsters—proactively, intelligently, and in real time.

Let’s help you protect your customers, revenue, and reputation. 

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Our Process

Secure Your Organization’s Data In 4 Steps

Let's explore solutions to comprehensively secure your organization's data operations.

1

Request Consultation

Begin by filling out our form to provide project details. Your input guides us in tailoring solutions to meet your IT needs effectively.

2

Requirement Gathering

Let's gain more clarity on your pain points and objectives. We'll explore approach, timelines, and other required criteria.

3

Review and Alignment

Based on discussions, an implementation plan with milestones, budgets and more is shared and reviewed with you.

4

Deployment

All required resources for the successful and timely implementation of an data security project are activated.

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Fraud Management

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