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support

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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 

Screenshots View All

Screenshots View All

Integrations

COMBO Network No 
Holograph No 
NuDetect Yes 

Integrations

COMBO Network Yes 
Holograph Yes 
NuDetect 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/

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