PingOne ProtectPing Identity
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Related Products
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About
Prevent account takeover, new account fraud, and MFA fatigue with PingOne Protect. By evaluating multiple attack vectors, assigning risk scores, and providing insights, PingOne Protect triggers mitigation tools to block attacks and allow legitimate users to authenticate easily. PingOne Protect’s intelligence-based policies combine the results of multiple risk predictors to calculate an overall risk score. The score correlates to policies that determine the type and amount of friction to introduce into the user flow, such as CAPTCHA, password resets, selfie verification, and push notifications. Optimize scores for each predictor, aggregate predictors, add signals from third parties, and create overrides. Predictors include bot detection, IP velocity, user velocity, velocity anomaly, user location anomaly, IP reputation, anonymous network, user risk behavior, user-based risk model, new device detection, suspicious device detection, and custom/third-party predictors.
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About
We build a digital fingerprint for each user based on biometric, behavioral, device, IP and network data, then continuously verify users across the user journey. In addition to detection, we empower you to configure policies that automatically respond to malware, phishing, and RATs with Revelock Active Defense. We build the BionicID™ from thousands of parameters collected from behavioral biometrics, behavioral analytics, device, network and threat data. The BionicID™ is trained and ready to verify users in just two interactions, reducing false positives and false negatives that trip up users and flood your call center. No matter what type of attack - malware, RATs or phishing, IDTheft, ID impersonation or ID manipulation - the BionicID™ changes the game. Our anomaly detection and classification engine delivers a continual risk assessment that protects your users and stops fraud.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Companies in search of a solution to authenticate users and prevent risks
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Audience
Businesses looking for an online fraud detection and response platform
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Company InformationPing Identity
Founded: 2002
United States
www.pingidentity.com/en/platform/capabilities/threat-protection/pingone-protect.html
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Company InformationRevelock
Founded: 2015
Spain
www.revelock.com/en/
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Categories |
Categories |
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Financial Risk Management Features
Compliance Management
Supported
Credit Risk Management
Not Supported
For Hedge Funds
Not Supported
Liquidity Analysis
Not Supported
Loan Portfolio Management
Not Supported
Market Risk Management
Not Supported
Operational Risk Management
Not Supported
Portfolio Management
Not Supported
Portfolio Modeling
Not Supported
Risk Analytics Benchmarks
Supported
Stress Tests
Not Supported
Value At Risk Calculation
Not Supported
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Integrations
Abstract Security
Supported
Knak
Supported
Motileo
Supported
Streamline AI
Supported
Youverse
Supported
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Integrations
Abstract Security
Not Supported
Knak
Not Supported
Motileo
Not Supported
Streamline AI
Not Supported
Youverse
Not Supported
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