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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Safeguard against account takeovers, fraudulent new accounts, and multifactor authentication fatigue with the capabilities of PingOne Protect. This solution assesses various attack vectors, assigns risk ratings, and offers valuable insights, enabling the activation of mitigation tools that thwart potential threats while ensuring that genuine users can authenticate without difficulty. By leveraging intelligence-driven policies, PingOne Protect amalgamates the outcomes of diverse risk indicators to derive a comprehensive risk score. This score is linked to specific policies that dictate the level of friction applied during user interactions, which may include techniques like CAPTCHA, password resets, selfie verifications, and push notifications. Enhance the effectiveness of each predictor, consolidate the predictors, integrate signals from external sources, and implement overrides as necessary. The predictors encompass bot detection, IP velocity, user velocity, anomalous velocity, user location discrepancies, IP reputation, usage of anonymous networks, risk behaviors of users, models of user-based risk, detection of new devices, identification of suspicious devices, and custom or third-party predictors, thereby providing a robust solution to manage risks effectively. By utilizing these comprehensive measures, organizations can significantly bolster their defenses against various forms of cyber threats.

Description

ShieldLabs specializes in detecting and preventing fraud while also evaluating traffic quality through sophisticated scoring methods. It effectively combats issues such as multi-accounting, account sharing, account takeovers, fake signups, and ad fraud. By employing a single JavaScript snippet, it gathers over 100 distinct device and network signals during every visit, allowing for comprehensive cross-verification that reveals sophisticated masking techniques and achieves an impressive detection accuracy of up to 99%. Returning users are identified seamlessly, even when using cleared cookies, incognito browsing, or different IP addresses, while linked users can be tracked across multiple accounts and devices. Various elements such as VPNs, proxies, Tor, Apple Private Relay, datacenter IPs, anti-detect browsers, browser automation tools, bots, and AI agents are all categorized as specific signals instead of being reduced to a simple binary flag. Each visitor, user, device, and IP is assigned a unique risk score, and predefined patterns address common fraud scenarios like multi-accounting, account sharing, account takeovers, and impossible travel incidents, with traffic quality evaluated based on its source, channel, and campaign. Integrating the solution takes just five minutes and includes client and server SDKs, a public API, and signed webhooks, making it accessible for businesses looking to enhance their security measures rapidly. As a result, organizations can swiftly implement robust defenses against fraud while maintaining a seamless user experience.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

Abstract Security Yes 
Knak Yes 
Motileo Yes 
Streamline AI Yes 
Youverse Yes 

Integrations

Abstract Security No 
Knak No 
Motileo No 
Streamline AI No 
Youverse No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

$79/month
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Ping Identity

Founded

2002

Country

United States

Website

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

Vendor Details

Company Name

ShieldLabs Inc

Founded

2025

Country

United States

Website

shieldlabs.ai/

Product Features

Fraud Detection

Access Security Management No 
Check Fraud Monitoring No 
Custom Fraud Parameters No 
For Banking No 
For Crypto No 
For Insurance Industry No 
For eCommerce No 
Internal Fraud Monitoring No 
Investigator Notes No 
Pattern Recognition No 
Transaction Approval No 

Product Features

Fraud Detection

Access Security Management Yes 
Check Fraud Monitoring Yes 
Custom Fraud Parameters Yes 
For Banking No 
For Crypto Yes 
For Insurance Industry No 
For eCommerce Yes 
Internal Fraud Monitoring No 
Investigator Notes No 
Pattern Recognition Yes 
Transaction Approval No 

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