Fraud Management

AI-Powered Decisioning System for Modern Banking

Replace outdated rule-based system to a scalable AI-based strategy. Stop account takeovers, fraud organization, mule rings, and suspicious transactions in real-time.

Your Device Fingerprint Result

  • Device ID
  • Language
  • IP
  • Screen Resolution
  • Browser
  • Device
  • Cookie Status

Uncover Insights About the Device You’re Using Now.

01
Coverage

Monitor Every Action Across All Channels

Detect fraud across mobile apps, online banking, ATMs and branches—all in one platform. Link devices, identities, and behavior patterns to block suspicious activity instantly.

02
Speed

Instant Anti-Fraud Decisions You Can Control

Approve or block transactions in <50ms using customizable decision flows. Get full transparency with version logs, audit trails and testing tools—no coding needed.

03
Agility

AI that Evolves with Fraud Patterns

Stop attacks like synthetic identity fraud, social engineering fraud, SIM-swap scams, and more. Our self-learning system adapts to emerging fraud trends without relying on hardcoded rules.

04
Clarity

Uncover Mule Network with Graph Intelligence

Uncover collusive fraud by linking accounts, devices, IPs, and behaviors. Catch complex fraud early—from money mules to sophisticated fraud organization.

Full-Lifecycle Application Fraud Detection

Protect every step of the lending journey, from registration to disbursement—with continuous risk screening

Registration

Challenges
Fraudsters use virtual numbers, bots, and proxy IPs to mass-create fake accounts.
Impact
Block fake registrations early to reduce downstream fraud, save onboarding costs, and protect system integrity.

Login

Challenges
Stolen credentials and brute-force attacks lead to account takeovers and session hijacking.
Impact
Prevent unauthorized access and protect customer trust with continuous authentication and device-level risk monitoring.

Identity Verification

Challenges
Fraudsters exploit deepfakes, synthetic IDs, and stolen documents to impersonate real users.
Impact
Strengthen your KYC process and meet compliance requirements with advanced anti-deepfake and identity verification capabilities.

Loan Application

Challenges
Fraud rings and repeat offenders commit loan stacking, collusion, and synthetic ID fraud at scale.
Impact
Reduce fraud loss and improve loan book quality with real-time application risk scoring and cross-platform intelligence.

Disbursement

Challenges
Fraudsters exploit credit limits, redirect funds, or use mules to launder money post-approval.
Impact
Secure the last mile of the lending journey by detecting abnormal disbursement behavior and preventing fund misuse.

How It Works Across Your Lending Journey

Application & Onboarding

Challenges
Fraud rings use fake, stolen, and synthetic identity to open new account and stack loans.
Impact
Identify illicit registrations and stop fraud ring activities upfront while ensuring smooth onboarding for real customers.

Underwriting &
 Credit Decisioning

Challenges
Incomplete data and manual processes make it hard to assess affordability and creditworthiness accurately.
Impact
Accelerate credit approvals and reduce default risk with alternative data insights and automated scoring.

Disbursement 
& Activation

Challenges
Hidden inconsistency of borrower’s account that might indicator an account takeover or proxy borrower risk.
Impact
Last mile rechecks to flag inconsistencies before funds are released, ensuring money goes to the right customer.

Loan 
Monitoring

Challenges
Risky borrowers show warning signs like sudden behavior changes and spiked credit limit request, indicating a chance of default.
Impact
Detect anomalies instantly with behavioral analysis and dynamic scoring, intervene early to stop potential loss.

Collections & Recovery

Challenges
Traditional collections struggle with poor contractability and low recovery efficiency.
Impact
Score collection risk, predict contractability, and optimize recovery strategies to maximize repayment.

Fraud Isn’t Isolated, It’s Lifecycle-Based

Fraud Prevention

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Credit Risk Management

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Explore how our solution is built on the

ARGUS® Fraud
Management Platform

Find Out Now

Not Just A Solution, We’re Your Tech Partner That Delivers

01
Expert-Led Consultation & Planning

We help you identify threats and build risk strategies tailored to your business.

02
End-to-End Deployment & Integration

Our team handles implementation from system integration to go-live support.

03
Continuous Optimization & Tuning

We keep your rules, models, and strategies up to date, as fraud tactics evolve.

04
Empowering Your Team

We train your team to get the most value out of our platform, fast.

Dive Into More Insights and Our Case Studies

Case Study: Building an Intelligent Decisioning Platform for Modern Banking

Build a unified, AI-powered decisioning platform to drive real-time risk decisions — modernizing legacy systems and boosting fraud control at scale.
Challenges
  • Legacy system
  • Slow decision-making
  • Compliance gaps

Financial Fraud Risk Prevention in Banking Digital Transformation

Build an intelligent cross-channel fraud risk framework that unifies data and decisioning to detect threats across the digital banking ecosystem in real time.
Challenges
  • Data silos
  • Organized fraud
  • Reactive defense

Bank Fraud: Strategies to Protect Your Financial Institution

Strengthen your bank’s defenses by deploying AI-driven, multi-layered fraud strategies that combat evolving threats and reinforce institutional integrity.
Challenges
  • KYC gaps
  • AI threats
  • Fraud scale

FAQs About TrustDecision’s Fraud Management

How does TrustDecision detect fraud without disrupting genuine users?

TrustDecision minimizes false positives while maintaining high fraud detection rates using a multi-layered risk framework. We combine identity verification, device intelligence, behavioral biometrics, and adaptive scoring to evaluate user risk in real time — all within 50 milliseconds and at a scale of 50,000+ transactions per second.

Each risk strategy is constantly refined using historical fraud cases, analyst feedback, and incident reviews, ensuring accuracy without unnecessary customer friction. High-risk actions are escalated via case management workflows, while low-risk users enjoy a seamless experience.

Can TrustDecision monitor and stop fraud in real time across channels like mobile, ATM, and branches?

Yes. TrustDecision offers cross-channel, real-time fraud detection, covering mobile banking, internet banking, ATMs, POS systems, and branch operations. The platform analyzes session data and transaction behavior across all customer touchpoints and pushes instant risk scores and decision outcomes to the core banking or transaction processing system.

This ensures that fraud is stopped before it spreads between channels, delivering consistent protection wherever users engage.

How does TrustDecision use AI and machine learning to detect new and evolving fraud patterns?

Our platform applies multiple AI-driven models, each purpose-built for different fraud vectors:

  • Bot & Script Detection: Uses anomaly detection and clustering to catch emulators, automation, and scripted attacks.
  • Behavioral Sequence Models: RNNs detect abnormal login or transaction behavior over time.
  • Fraud Ring Detection: Graph-based models connect devices, users, and accounts to uncover organized fraud networks.
  • Outlier Detection: Surfaces abnormal activity like off-hour transactions or first-use devices.
  • Hybrid Predictive Models: GBDT and ensemble methods classify risk across labeled/unlabeled data sources.

All models are continuously self-trained and enhanced by AI agents and domain experts to evolve with new fraud trends.

How does TrustDecision prevent telecom fraud such as SIM swaps and collusion?

Telecom fraud is mitigated with layered strategies:

  • Login Monitoring: Flags abnormal login environments (VPNs, emulators, blacklisted devices).
  • Transaction Risk Profiling: Models detect irregular activity such as rapid withdrawals or unusual timing.
  • Graph Analysis: Connects shared IPs, devices, or user accounts to uncover collusion or mule networks.

These insights power real-time decisions like freezing accounts, escalating to manual review, or applying MFA challenges — all while minimizing user disruption.

Consult Our Expert

Let’s discuss your goals – whether it’s reducing fraud losses, improving credit approvals, or scaling risk management.

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