How does Feedzai AML Transaction Monitoring compare to AML Transaction Monitoring?

Feedzai's AML Transaction Monitoring solution helps financial institutions detect and prevent money laundering activities. The platform uses advanced analytics and machine learning to analyze transaction patterns and flag suspicious behaviors, ensuring compliance with anti-money laundering (AML) regulations.

The solution offers real-time alerts and customizable detection models, enabling organizations to stay ahead of financial crime. Feedzai's AML Transaction Monitoring enhances operational efficiency and safeguards against evolving AML threats.

Sardine's AML (Anti-Money Laundering) Transaction Monitoring module is designed to detect and report suspicious activities that may be indicative of money laundering, thereby ensuring compliance with AML regulations. The module monitors transactions in real-time, applying sophisticated rules and machine learning models to identify patterns and behaviors associated with money laundering. It supports the customization of monitoring parameters to align with the specific risk profiles and regulatory obligations of the organization. Upon detecting suspicious activities, the system can generate alerts and facilitate the filing of Suspicious Activity Reports (SARs) as required by law. Additionally, the module provides comprehensive reporting and audit capabilities, aiding in regulatory examinations and internal compliance assessments. By automating the monitoring process, Sardine's AML Transaction Monitoring module enhances the effectiveness and efficiency of AML compliance programs.

• 🏆 Ranked - Strong Performer by Forrester (2024)
• 🏆 Financial Crime and Compliance50 2024 - Ranked 13 by Chartis (2024)
• 🏆 Ranked - Leader by IDC (2024)
• 🏆 RiskTech AI 50 2024 - Ranked 4 by Chartis (2024)
• 🏆 Category Winner - AI-driven Anti-Fraud Platform by Chartis (2024)
• 🏆 RiskTech100 2024 - Ranked 35 by Chartis (2024)
• 🏆 Category Winner - Emerging Crime Typology Detection by Chartis (2024)
• 🏆 Category Winner - AI-driven Fraud Prevention by Chartis (2024)

Feedzai is a data science company that develops real-time machine learning tools to identify fraudulent payment transactions and minimize risk in the financial services, retail, and e-commerce industries. Founded in 2011 by Nuno Sebastião, Pedro Bizarro, and Paulo Marques, Feedzai is headquartered in Coimbra, Portugal, with its U.S. headquarters in San Mateo, California.

The company's core offering is an AI-powered ‘RiskOps’ platform which helps financial institutions to detect, prevent, and manage financial crime while achieving regulatory compliance. Feedzai's solutions cover various aspects of financial security, including:

- Account opening and takeover prevention
- AML transaction monitoring
- KYC/Customer due diligence
- Transaction fraud detection
- Watchlist screening

Feedzai has achieved significant milestones in its growth and is now a well known brand in this space. It became a unicorn startup in 2021, valued at over $1 billion after a Series D funding round. Feedzai's AI analyzes over 3000 payment transactions per second and the platform processes 59 billion events per year and secures nearly $6 trillion in payments annually.

Sardine offers a platform to automate risk decisioning, catch more fraud, detect money laundering, and protect customers from scams.

Sardine's platform integrates several key functionalities aimed at combating fraud and ensuring compliance:

- Fraud Detection: Utilizing behavioral analysis and machine learning, Sardine detects scams before they occur by monitoring subtle changes in user behavior across the customer lifecycle—from onboarding to transaction monitoring.
- Risk Scoring: The platform employs advanced risk-scoring models to evaluate potential threats in real-time.
- Compliance Solutions: Sardine provides services such as Know Your Customer (KYC), Know Your Business (KYB), transaction monitoring, and anti-money laundering (AML) compliance.
- Device Intelligence & Behavioral Biometrics: By incorporating device intelligence and behavioral biometrics, Sardine enhances its fraud detection capabilities beyond traditional methods.

The inception of Sardine was driven by the founders' experiences in the fintech space, particularly their recognition of the fragmented nature of fraud prevention services available to cryptocurrency and neobanking sectors. Ranjan's background in cybersecurity and machine learning, alongside the team's collective expertise, led to the development of a unified API platform designed to tackle various fraud risks comprehensively. The name "Sardine" is a nod to Suspicious Activity Reports (SARs), which are critical in reporting financial crimes.