Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
A customer initiates a new account application through various channels, such as in-person at the branch, online, via mobile apps, or through the contact center. Early Warning assesses the probability that the customer is genuine by utilizing our top-notch banking data. This allows for real-time evaluation of identity validity, enhancing the detection of synthetic and altered identities. Additionally, Early Warning forecasts the likelihood that a customer may experience default due to first-party fraud within the initial nine months after opening an account. By applying predictive intelligence, we gain deeper insights into customer behavior. The system also estimates the risk of default stemming from account mismanagement during the same timeframe. Based on these assessments, applicant privileges can be customized to match your institution's risk tolerance. Harnessing real-time predictive analytics facilitates more informed decision-making. This approach not only broadens access for more customers to the conventional financial system but also helps manage risk levels, which could lead to an increase in potential revenue. Ultimately, balancing risk management with customer inclusion is key to fostering a healthier financial ecosystem.
Description
Currently, the typical CISO at a Fortune 2000 company manages an average of 12 different cybersecurity solutions, resulting in a fragmented view with numerous dashboards but no centralized aggregation point. This situation often leads to the inability to demonstrate a clear return on investment for many cybersecurity purchases. A significant gap exists in assessing the organization's cyber resilience, as there's no concrete measurement of the changes from the state before implementing a product to its condition afterward. Furthermore, the absence of industry standards for evaluating the effectiveness of cybersecurity product implementations exacerbates the issue. SAFE offers a solution by allowing organizations to forecast potential cyber breaches, effectively consolidating signals from their existing cybersecurity tools, external threat intelligence, and relevant business context. The system incorporates information into a supervised Machine Learning Bayesian Network designed to predict breach likelihood, providing valuable scores, prioritized actionable insights, and a clear assessment of the risks that the organization faces, thereby enhancing overall security posture. By utilizing SAFE, companies can improve their cybersecurity strategy and make more informed decisions in a complex threat landscape.
API Access
Has API
No
API Access
Has API
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
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
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
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
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Early Warning
Founded
1990
Country
United States
Website
www.earlywarning.com/products/identity-chek-service-new-account-scores
Vendor Details
Company Name
Safe Security
Founded
2012
Country
United States
Website
www.safe.security/