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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 PingOne Protect?

Protect your accounts from takeovers, fraudulent registrations, and the fatigue associated with multifactor authentication by utilizing PingOne Protect's extensive capabilities. This advanced solution evaluates multiple attack vectors, assigns risk levels, and delivers insightful data, facilitating the deployment of countermeasures that effectively block potential dangers while allowing legitimate users to authenticate with ease. By employing intelligence-based policies, PingOne Protect synthesizes results from various risk factors to create a holistic risk score. This score is associated with specific policies that determine the amount of friction experienced by users during interactions, including methods such as CAPTCHA, password resets, selfie verifications, and push notifications. To maximize the accuracy of the predictors, consolidate them, incorporate signals from outside sources, and apply overrides when necessary. The predictors include bot detection, IP velocity, user velocity, unusual velocity patterns, discrepancies in user location, IP reputation assessments, use of anonymous networks, behavioral risks, user-based risk models, detection of new devices, identification of suspicious devices, and custom or third-party predictors, all of which contribute to a robust risk management strategy. By implementing these comprehensive strategies, organizations can greatly enhance their defenses against a wide range of cyber threats and maintain user trust in their security measures. This proactive approach not only secures sensitive information but also improves the overall user experience by minimizing disruptions.

Media

Media

Integrations Supported

Abstract Security
Streamline AI

Integrations Supported

Abstract Security
Streamline AI

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

RISK IDENT

Date Founded

2012

Company Location

Germany

Company Website

riskident.com

Company Facts

Organization Name

Ping Identity

Date Founded

2002

Company Location

United States

Company Website

www.pingidentity.com/en/platform/capabilities/threat-protection/pingone-protect.html

Categories and Features

Banking

ATM Management
Compliance Tracking
Corporate Banking
Credit Card Management
Credit Union
Investment Banking
Multi-Branch
Online Banking
Private Banking
Retail Banking
Risk Management
Securities Management
Transaction Monitoring

Cybersecurity

AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting

Fraud Detection

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

Integrated Risk Management

Audit Management
Compliance Management
Dashboard
Disaster Recovery
IT Risk Management
Incident Management
Operational Risk Management
Risk Assessment
Safety Management
Vendor Management

Risk Management

Alerts/Notifications
Auditing
Business Process Control
Compliance Management
Corrective Actions (CAPA)
Dashboard
Exceptions Management
IT Risk Management
Internal Controls Management
Legal Risk Management
Mobile Access
Operational Risk Management
Predictive Analytics
Reputation Risk Management
Response Management
Risk Assessment

Categories and Features

Fraud Detection

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

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