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What is Sokratech?

Sokratech is an innovative real-time fraud detection solution customized for banks and financial institutions. It analyzes transactions swiftly, making decisions in under 250 milliseconds by utilizing a no-code rules engine, machine learning risk evaluations, and adaptable workflows, which empowers fraud teams to address new threats in mere minutes rather than enduring prolonged release cycles. Key features include ongoing transaction monitoring, governance of rules and models with detailed audit trails, transparent decision-making that meets regulatory and audit standards, and efficient case management for fraud investigations. Tailored to satisfy the compliance and data residency demands of regulated financial organizations, Sokratech guarantees that these institutions uphold elevated security and accountability measures. The platform is accessible via API and smoothly integrates with core banking and payment systems, enabling organizations to adopt it rapidly without needing to revamp their existing infrastructure and processes, thereby improving their overall operational efficiency. Additionally, Sokratech's user-friendly interface simplifies the management of fraud detection, allowing teams to focus on strategic responses over routine administrative tasks.

What is Fraud.net?

Best-in-class, Fraud.Net offers an AI-driven platform that empowers enterprises to combat fraud, streamline compliance, and manage risk at scale—all in real-time. Our cutting-edge technology detects threats before they impact your operations, providing highly accurate risk scoring that adapts to evolving fraud patterns through billions of analyzed transactions. Our unified platform delivers complete protection through three proprietary capabilities: instant AI-powered risk scoring, continuous monitoring for proactive threat detection, and precision fraud prevention across payment types and channels. Additionally, Fraud.Net centralizes your fraud and risk management strategy while delivering advanced analytics that provide unmatched visibility and significantly reduce false positives and operational inefficiencies. Trusted by payments companies, financial services, fintech, and commerce leaders worldwide, Fraud.Net tracks over a billion identities and protects against 600+ fraud methodologies, helping clients reduce fraud by 80% and false positives by 97%. Our no-code/low-code architecture ensures customizable workflows that scale with your business, and our Data Hub of dozens of 3rd party data integrations and Global Anti-Fraud Network ensures unparalleled accuracy. Fraud is complex, but prevention shouldn't be. With FraudNet, you can build resilience today for tomorrow's opportunities. Request a demo today.

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Integrations Supported

Integrations Supported

Ekata
Emailage
Signifyd
TeleSign
TypingDNA

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Get started for free.
Free Version
Free Trial Offered?

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS
Windows
Mac
Linux

Customer Service / Support

24 Hour Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Sokratech

Company Location

Singapore

Company Website

sokratech.io

Company Facts

Organization Name

Fraud.net, Inc.

Date Founded

2016

Company Location

United States

Company Website

www.fraud.net

Categories and Features

Fraud Detection

Not specified

Categories and Features

AML

Not specified

Click Fraud

Activity Monitoring
IP Address Monitoring
Risk Assessment

Data Visualization

Not specified

Decision Support

Not specified

Deep Learning

Not specified

eCommerce

Order Management
Returns Management

Financial Risk Management

Compliance Management
Operational Risk Management

Fraud Detection

Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval

Machine Learning

Deep Learning

Payment Processing

Not specified

Predictive Analytics

AI / Machine Learning
Data Mining

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