GLIB.ai - AML & Fraud Detection (Use Case)

Introduction

In today’s fast-evolving financial landscape, fraud and money laundering schemes are becoming increasingly sophisticated. Traditional rule-based systems struggle to keep up with emerging threats. Glib.ai uses AI and machine learning to proactively detect fraud and enforce AML compliance across banking operations, helping institutions mitigate financial and reputational risks.

"GLIB.ai will help us assess merchant risk in a better and more efficient manner. With FinRay, we can quickly analyze key ratios from financial statements across multiple languages."

Francesco Garcia

Director - Merchant Credit Risk

Other Use Cases

Regulatory Compliance AML & Fraud Detection KYC & Identity Verification Audit & Reporting Automation Data Privacy & Security Compliance

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Key Benefits

Real-Time Regulatory Rule Engine: Automatically validates borrower data, transactions, and document sets against the latest RBI, SEBI, AML, and KYC regulations — updated in real time.
AI-Powered Document Compliance: Verifies if submitted documents (KYC, ITR, bank statements, etc.) meet regulatory formatting, completeness, and authenticity standards.
Automated Audit Trails & Reports: Instantly generates audit-ready compliance logs and structured reports for internal teams, external auditors, or regulatory filings.
Global Regulatory Framework Support: Stay compliant across borders — Glib.ai supports frameworks such as FATF, GDPR, OECD CRS, and Basel III for international lenders and cross-border NBFCs.
API-Based Integration with Compliance Systems: Easily plug into your existing core banking, loan management, or GRC platforms using Glib.ai’s secure, scalable API stack.
Early Risk & Penalty Mitigation: Prevent violations proactively with real-time alerts for anomalies, suspicious transactions, or missing regulatory documentation.