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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.

What is MCP Shield?

MCP Insight's Fraud Blocking and Fraud Detection Solution is tailored to meet specific needs. The MCP Shield provides immediate fraud detection and blocking capabilities, complemented by an easy-to-use analytics interface. Its implementation is straightforward, allowing businesses to quickly integrate it into their systems. This tool identifies unusual activities and modifications on payment or service landing pages. It also tracks user behavior to ascertain the authenticity of transactions, distinguishing between human and automated bot interactions during assessments. Furthermore, MCP Shield equips you with essential insights that empower you to make informed decisions about whether to restrict access to a service. With these features, organizations can enhance their security measures effectively.

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

$500
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

Ping Identity

Date Founded

2002

Company Location

United States

Company Website

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

Company Facts

Organization Name

MCP Insight

Date Founded

2014

Company Location

United Kingdom

Company Website

www.mcpinsight.com

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

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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