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What is RISK IDENT?

RISK IDENT stands out as a premier software development firm specializing in anti-fraud solutions tailored for the e-commerce and telecommunications industries. Our proficiency in machine learning and data analytics sets us apart in the field. Among our flagship offerings are DEVICE IDENT Device Fingerprinting and FRIDA Fraud Manager, which tackle issues such as account takeovers, payment fraud, and fraudulent loan applications. Our sophisticated software solutions are designed to identify online fraud by swiftly assessing and analyzing a multitude of data points. We empower businesses with real-time insights that enable the preemptive prevention of fraudulent activities. With numerous accolades and a strong emphasis on data security, we believe the cornerstone of effective fraud prevention lies in a robust network that analyzes all pertinent data at remarkable speeds. By providing immediate identification of anomalies, we ensure that our clients stay one step ahead of potential threats. Our commitment to innovation drives us to continuously enhance our solutions and maintain our leadership in the industry.

What is Incognia?

Location Behavioral Biometrics leverages the unique location-centric actions of users to create a flexible location fingerprint that is difficult for fraudsters to imitate. This cutting-edge method is an invaluable asset for financial institutions and retailers, significantly reducing risks linked to new account fraud and account takeovers. By combining network signals with on-device sensor data, our sophisticated location technology formulates distinct behavioral patterns that support precise user identification and authentication. Importantly, our solution operates without the need for any personally identifiable information (PII) and functions unobtrusively in the background, providing a secure and seamless user experience. Additionally, it allows for the global validation of addresses using real-time location data and effectively identifies location spoofing techniques often used in identity theft and account takeover attacks. It further detects anomalies to avert fraudulent actions like unauthorized account registrations, logins, and transactions, thereby disrupting organized fraud schemes. Moreover, by equipping your identity verification processes with instant access to location information, our system bolsters overall security and trust. This innovative approach not only enhances security measures but also fosters a safer environment for online transactions.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Pricing Information

No one fraud challenge is the same - let's talk and find a pricing model that works for you

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Android
iPhone
iPad

Customer Service / Support

Standard Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

RISK IDENT

Date Founded

2012

Company Location

Germany

Company Website

riskident.com

Company Facts

Organization Name

Incognia

Company Location

United States

Company Website

www.incognia.com

Categories and Features

Banking

Corporate Banking
Online Banking
Retail Banking
Risk Management
Securities Management
Transaction Monitoring

Cybersecurity

AI / Machine Learning

Device Fingerprinting

Not specified

Fraud Detection

Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Insurance Industry
For eCommerce
Transaction Approval

Integrated Risk Management

IT Risk Management
Operational Risk Management

Risk Management

Dashboard
IT Risk Management
Mobile Access
Operational Risk Management

Categories and Features

Authentication

Biometric
Credential Management
Mobile Authentication
Multifactor Authentication
Policy Management
Self Service Portal
Single Sign On

Device Fingerprinting

Not specified

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