Tamas Kadar
CEO
SEON
SEON is an online fraud prevention platform that utilizes real-time transactional data analysis and machine learning to detect and block fraudulent activities across various customer interactions. By automating fraud checks and monitoring user behavior, SEON significantly reduces the risk of financial losses and enhances compliance with anti-money laundering regulations.
- Artificial Intelligence
- Data & Analytics
- Cybersecurity
- Enterprise Software
- Financial Technology
- Software Only
Updated 23 months ago
Funding
Raised to date
$107.9MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
Online fraud is rapidly increasing, necessitating robust and scalable solutions to protect businesses and customers. Traditional fraud prevention systems often struggle to adapt to evolving attack vectors and may introduce friction into the customer experience. Existing solutions can also be difficult to integrate and may require extensive manual review processes.
Solution
SEON provides a comprehensive fraud prevention platform that leverages real-time data analysis and machine learning to detect and prevent fraudulent activities across the entire customer journey. By analyzing digital footprints, device intelligence, and behavioral biometrics, SEON identifies suspicious users and transactions before they can cause harm. The platform offers a no-code rule builder, pre-configured industry rules, and AI-driven insights to enhance fraud detection and streamline risk decisioning. SEON's unified platform integrates fraud detection, risk management, and compliance monitoring, enabling teams to collaborate efficiently and respond effectively to emerging threats.
Target Audience
SEON targets fraud, risk, and compliance teams across various industries, including financial services, fintech, iGaming, retail, and payments, seeking to automate fraud checks, reduce manual reviews, and enhance overall fraud prevention efficiency.
Features
- Digital Footprint Analysis: Gathers and analyzes data from email, phone, and IP addresses to understand a user's online presence.
- Device Intelligence: Tracks device and behavioral biometric data patterns to identify suspicious activity.
- AI & Machine Learning: Deploys transparent rules to prevent evolving fraud patterns in real time.
- Customer Screening & Monitoring: Simplifies compliance with an integrated AML and fraud platform.
- Case Management: Eliminates manual processes and fragmented tools to achieve faster, more efficient investigations.
- Real-time Transaction Monitoring: Continuously monitors logins, account changes, and transactions using AI.
- No-Code Rule Builder: Allows users to create custom fraud prevention rules without coding.
- Integrations: Seamlessly integrates with platforms like Shopify and AWS.