mazdek
Security & Prevention • Fintech & Banking

Fraud Detection Agent

Real-time fraud detection with AI-powered transaction analysis, behavioral biometrics, and automatic alerting for suspicious activities.

94% fraud prevention before damage
Fraud Prevention Real-time Machine Learning Behavioral Analytics

94%

Fraud Prevention

< 50ms

Analysis Time

0.01%

False Positive Rate

CHF 2.3M

Average Savings/Year

About this Solution

How does the Fraud Detection Agent work?

The Fraud Detection Agent protects financial institutions from fraud before damage occurs. By analyzing hundreds of parameters per transaction, it detects suspicious patterns in milliseconds.

The agent combines rule-based checks with advanced machine learning. It learns the normal behavior of each customer and immediately detects deviations — whether unusual transaction amounts, suspicious devices, or atypical transaction times.

When fraud is suspected, the agent can automatically block transactions, request additional authentication, or alert the fraud team. Continuous learning ensures that new fraud methods are quickly detected.

Features

What this Agent Can Do

Real-time Analysis

Every transaction is analyzed in under 50ms — faster than the authorization itself.

Behavioral Biometrics

Detection of anomalies based on typing behavior, mouse movements, and app usage patterns.

Network Analysis

Detection of fraud networks through connection analysis between accounts, devices, and IP addresses.

Adaptive Rules

Self-learning algorithms automatically adapt detection rules to new fraud methods.

Examples

How it Works in Practice

1

Card Fraud

"Credit card payment of CHF 5,000 at an online shop at 3:00 AM, although the customer never shops after midnight."

Agent detects behavioral anomaly, blocks transaction, and sends push notification for confirmation to the real cardholder.

2

Account Takeover

"Login from new device in another country, followed by attempt to change contact details and password."

Agent detects suspicious device combination and behavior chain, temporarily locks account, and requires video identification.

3

Money Mule Detection

"New account receives multiple transfers from different accounts within 48 hours and immediately forwards funds."

Agent identifies typical money mule pattern, flags all involved accounts for review, and notifies compliance team.

FAQ

Frequently Asked Questions

How does the agent differ from traditional fraud systems?
Traditional systems work with static rules. Our agent uses machine learning to continuously learn from new fraud patterns and adapt. It also analyzes behavioral biometrics and network relationships — dimensions that rule-based systems cannot capture.
How is the balance between security and customer experience maintained?
The agent works with risk-based authentication. Low-risk transactions pass smoothly, while additional steps are only required when there is genuine suspicion. The false positive rate is below 0.01%, so legitimate customers are hardly affected.
Can the agent also detect internal fraud cases?
Yes, the agent also monitors internal activities such as unusual database queries, system access outside working hours, or suspicious patterns in transfers by employees.
Which data sources are analyzed?
The agent integrates transaction data, device information (device fingerprinting), IP geolocation, behavioral biometrics, historical patterns, and external data such as known fraud lists and threat intelligence feeds.

Interested in this Solution?

Let us discuss how the Fraud Detection Agent can protect your institution.

Get Free Consultation View All Solutions