Fintech

Transaction Monitoring and Fraud Prevention with AI

We help you face growing threats such as fraud and money laundering with AI-powered solutions.

Through machine learning models, behavior analysis, and detection based on neural networks, at Crombie, we help protect fintech and financial companies from operational risks. Additionally, we enable them to continuously evolve against new and complex fraud schemes.

With a good strategy, you would avoid…

Vulnerability against sophisticated fraud schemes

We use advanced AI models that continuously adapt to identify emerging fraud. This way, we protect your operations even against unconventional attacks.

Non-compliance and regulatory sanctions

We automate AML/KYC validations and generate real-time regulatory reports, reducing the risk of sanctions and ensuring regulatory compliance.

False positives that affect user experience

We optimize detection with AI based on historical and contextual patterns. This minimizes false positives and ensures a seamless experience for legitimate users.

High costs in manual controls and lack of operational efficiency

We automate risk segmentation and prioritization. This enables teams to focus on critical cases and reduce operational costs.

Limited response capacity against new threats

We implement neural networks and deep-learning algorithms to ensure proactive protection against more recent and complex threats.

Fraud Prevention Use Cases

Payment platform with predictive fraud detection

We design AI-powered monitoring systems for digital payment fintechs. We analyze location, transaction history, and used devices, anticipating fraud attempts before they materialize.

Neobank with smart AML validation

We implement AI-powered solutions for digital banks to automatically validate customer data against sanctioned lists. This significantly reduces the manual revision time and improves accuracy in compliance.

Marketplace with customized risk scoring

We integrate AI in service marketplaces to assign dynamic risk scoring to every transaction. We adjust validation rules in real time, considering user behaviors, and market conditions. This way, we minimize loss due to fraudulent disputes.

Lending solution with identity fraud prevention

We develop AI-powered facial recognition and biometric validation models for lending platforms. These detect identity theft attempts in credit applications and increase the rate of secure approvals.

We are specialists in…

Real-time, AI-powered monitoring to detect and block suspicious transactions.

Automated validation against international and local blacklists, such as OFAC, Nosis, and Dow Jones.

False positive optimization leveraging continuous learning algorithms, improving the user experience.

Contextual behavioral analysis and user segmentation according to the risk level.

Machine learning models to identify unusual patterns and accurately predict risk.

Adaptive neural networks designed to detect emerging fraud schemes.

Automation of AML/KYC controls and real-time generation of regulatory reports.

Integration of processing systems and existing financial monitoring to ensure efficiency.

Why is it fundamental to implement fraud prevention?

Artificial intelligence is transforming the way businesses prevent fraud and comply with AML regulations. Not having advanced fraud detection systems can lead to significant financial losses, regulatory sanctions, and reputational damages.

The impact has been tremendous to where we are right now. We've had tremendous growth both on revenue side, which is very important, as well as on the operational side and the headcount.

—

Ryan Morrison

Product Manager at NFTYDoor

Innovation backed by top-tier certifications

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