AI that Goes Beyond the Ordinary
Master your fraud and AML risk strategy, powered by AI that delivers unmatched performance, transparency, and flexibility.
Fight Fraud and Financial Crime with Advanced AI
Get Started Quickly with Proven Results
Out-of-the-box machine learning models are pre-trained on massive datasets to deliver accurate fraud detection from day one.
Understand and Trust Your AI Decision
Built-in Responsible AI ensures fairness, reduces bias, and protects your reputation, with Whitebox Explanations providing clear insights into why each decision was made – fostering transparency and trust.
Respond to Threats with Agility
Our platform empowers your team to deploy new models, customize rules, and adapt to emerging fraud and financial crime patterns in days, not weeks.
Segment-of-One Profiles
Move away from generalized segments and false positives. Feedzai’s AI leverages transactional, biometric, and other data to build a 360-degree baseline of each customer’s banking behavior, enabling the most accurate identification of anomalies.
Real-Time Risk Scoring
Our Pulse Risk Engine enables real-time scoring at massive scale, and flexibly combines rules and machine learning models. This adaptability empowers you to tailor your approach to your institution's specific risk appetite and regulatory requirements.
Principled AI That’s Fair and Transparent
Responsible AI
Embrace fairness in your AI-driven decision-making. Our Responsible AI features quantify bias in models, automatically identify fairer alternatives, and optimize for both fairness and performance, ensuring equitable outcomes for all customers.
Responsible AI
Embrace fairness in your AI-driven decision-making. Our Responsible AI features quantify bias in models, automatically identify fairer alternatives, and optimize for both fairness and performance, ensuring equitable outcomes for all customers.
Whitebox Explanations
Gain transparency into AI-driven risk assessments with clear, plain-text explanations. Our Whitebox Explanations feature enables your fraud and AML analysts to easily understand the factors behind each decision, fostering trust and facilitating compliance.
Whitebox Explanations
Gain transparency into AI-driven risk assessments with clear, plain-text explanations. Our Whitebox Explanations feature enables your fraud and AML analysts to easily understand the factors behind each decision, fostering trust and facilitating compliance.
Alert Prioritization
Reduce alert fatigue and prioritize investigations with our machine learning-powered alert scoring. Our system automatically identifies high-risk alerts, allowing your team to focus their valuable time and resources on the most critical threats to your institution.
Faster Model Creation and Testing
Stay agile to new threats with our intuitive, self-service Data Science Studio. It enables you to build, test, and deploy models in days without reliance on IT.
AI Automation
With our AutoML capabilities, you can maximize efficiency while optimizing your fraud models. Automate time-consuming steps like feature engineering, feature selection, model selection, and model retraining, freeing your team to focus on strategic initiatives and higher-value tasks.
Stop Fraud with Generative AI
It’s no longer a matter of whether to use GenAI in fighting Fraud and FinCrime – but a matter of how. Leverage the latest GenAI developments to improve fraud detection and increase operational efficiency. Feedzai has a variety of GenAI agents to do so, starting with ScamAlert, which enables banks to empower consumers to spot scams themselves, at the point of attack.
Frequently Asked Questions
What is AI fraud detection and how does it work?
AI fraud detection leverages machine learning and predictive analytics to analyze real-time transactions and uncover suspicious patterns. Feedzai’s AI models process vast volumes of data and fraud labels to detect anomalies, flag potential fraud, and continuously learn from emerging threats, while maintaining guardrails that ensure fair, transparent, and explainable decisions.
Why use AI for fraud and financial crime prevention?
AI enables real-time fraud detection, scales to massive data volumes, and uncovers complex patterns that humans miss. It adapts quickly to evolving tactics, proactively preventing losses. Feedzai’s AI combines speed, accuracy, and explainability to reduce false positives, improve operational efficiency, and deliver a safer, frictionless customer experience.
What types of fraud can Feedzai’s AI detect?
Feedzai is typology-agnostic, detecting fraud across inbound and outbound transactions, all channels and payment rails, including (but not limited to) card fraud (CNP and POS), account takeover, synthetic identity, new account fraud, scams/APP fraud, money mules, phishing, and malware.
Does AI replace the need for human fraud analysts?
No, AI augments human fraud analysts. It automates repetitive tasks and is better at identifying suspicious activity, empowering analysts to focus on complex cases, freeing them to run in-depth analysis and strategic decision-making.
How accurate is AI fraud detection in reducing false positives?
AI analyzes large datasets and continuously learns to improve accuracy and reduce false positives. Feedzai’s AI leverages behavioral, device, network, monetary and non-monetary data, combined with Feedzai’s network intelligence and the client’s preferred third-party sources, to deliver industry-leading precision that significantly minimizes false positives while strengthening overall fraud detection
Can AI spot new or unknown types of fraud?
Feedzai’s AI is designed to adapt and learn, and therefore, can identify noth new and unkown types of fraud. By analyzing subtle deviations from normal behavior and leveraging network intelligence, it can identify emerging fraud patterns and typologies, including those driven by generative AI.
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