Agentic AI for Fraud and Financial Crime Prevention
AI That Goes Beyond the Ordinary
Financial crime is moving at AI speed. Use specialized AI built for financial crime to turn more data into better decisions, respond faster to emerging threats, and protect every transaction with full trust.
AI Built for a World of Zero Trust
Feedzai brings together AI models, shared intelligence, and agents across the risk lifecycle. Transform prevention, detection, and investigation to stop more losses and operate with maximum efficiency.
See Risk With More Context
Use all the data, all the time to build a richer understanding of customer behavior across channels and over time.
Respond 90% Faster to New Threats
Adapt models, strategies, and workflows autonomously as fraud evolves and new attack patterns emerge.
Strengthen Every Risk Decision
Combine your own intelligence with privacy-preserving network insights powered by $9T in payments from the Feedzai ecosystem to detect up to 4x more fraud
Get Time Back with an AI Agent
Let Farol, Feedzai’s AI agent, handle the searching, analyzing, and rule analysis so your team can focus on what matters most.
Scale AI with Trust and Confidence
Run AI at scale with the performance, low latency, security, and governance financial institutions require. Transparent explanations, fairness controls, and auditability are available by default across the AI lifecycle.
"By providing access to network-level intelligence and advanced AI capabilities through a cost-effective multi-teneted model, Feedzai and Jack Henry are changing the economics of financial crime prevention."
— Datos Insights
Take Full Control of Your AI Models
All the Data, Always Available
Optimized across outbound and inbound transactions, behavioral, device, and non-monetary data, with scalable metric windows across days, weeks, and months, calculated and backfilled in real time.
Faster Model Re-training
Build, test, and deploy models faster in days, not weeks, with up to 90% faster model deployment. Give your teams autonomy over the modeling lifecycle by removing dependencies on other departments.
Cross-channel Detection
Close the gaps where risk goes undetected by connecting intelligence across payment types (e.g., instant payments, cards, ACH, wires, and more) for a 360° view of risk.
Built for Any Threat, in Any Region
Closed feedback loops are continuously updated with customer-specific fraud typologies (e.g., account takeovers, scams, and money mule detection).
Make Every Risk Decision Smarter with Network Intelligence
Learn from patterns across Feedzai's global payment network with privacy-preserving federated learning. Add intelligence from $9T in payments into every risk decision, through Feedzai or an API. Stop risk from day one with a demonstrated 50% value detection rate.
Transform Fraud Analysis & Cut Investigation with an AI Agent
Give your teams’ hours back every day by letting Farol, an always-on AI agent with skills of knowledge, investigations and risk strategy. Close alerts 20% quicker and conduct rule analysis 13x faster. Farol is embedded in your tools and workflows, so your teams can get immediate value without disrupting operations.
Explain Every Decision You Make
Understand Every AI Decision
You should never have to guess why a model flagged something. See why a bespoke model reached an outcome with clear, human-readable explanations. Get the same visibility into IQ Score decisions through the API in your own investigation environment.
Build Fairer Models
Boost fairness without sacrificing performance. Improve model fairness 2x with no loss in detection by using fairness-aware techniques such as FairGBM and Fairband alongside bias auditing to evaluate model behavior and support responsible AI development.
Govern AI with Confidence
Generate governance reports at a click and maintain the visibility needed to monitor AI across its lifecycle.
Make Agentic AI Transparent
Understand what an agent did, why it acted, and the information behind its reasoning. Keep people accountable as AI takes on more operational work.
Purpose-built AI for financial crime
Explore What Comes Next in Financial Crime Prevention
Threats evolve continuously. So does our research.
Feedzai's Research team looks one to four years ahead, exploring AI, data visualization, and systems that solve tomorrow's financial crime problems. That work becomes product capabilities that keep institutions ready. Visit our Research website for the next breakthrough.
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.
Related Resources
Page printed in October 15, 2026. Please see https://www.feedzai.com/solutions/ai for the latest version.