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Description
Identify and flag any files or user behaviors that present a significant risk warranting attention from business management. This user and entity behavior analytics (UEBA) system employs advanced, rule-driven modeling to analyze various data sources, helping to identify established behavioral norms and detect potentially harmful activities. By conducting thorough analysis, it can significantly lower the risk of insider threats, which are notoriously hard to identify due to the insider's familiarity with security protocols and their ability to circumvent them. Monitor for abnormal events, such as logins from user accounts belonging to former employees, users logging in from multiple locations at once, or unauthorized individuals accessing an excessive number of sensitive documents. Additionally, keep an eye on file-related risks, including unauthorized attempts to decrypt confidential information. User-specific risks should also be observed, such as an increase in the frequency of file decryption, an uptick in printing after business hours, or a rise in the number of files sent to external parties. Overall, this comprehensive approach aims to enhance organizational security by proactively identifying potential threats.
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.
API Access
Has API
API Access
Has API
Integrations
Abstract Security
Knak
Motileo
Streamline AI
Youverse
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Fasoo
Country
United States
Website
en.fasoo.com/products/fasoo-riskview/
Vendor Details
Company Name
Ping Identity
Founded
2002
Country
United States
Website
www.pingidentity.com/en/platform/capabilities/threat-protection/pingone-protect.html
Product Features
Product 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