Average Ratings 1 Rating

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ease
features
design
support

Average Ratings 0 Ratings

Total
ease
features
design
support

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Description

"Calls Blacklist" serves as an effective solution for blocking unwanted calls and filtering SMS messages. With this app, you can effortlessly prevent calls and texts from private, hidden, or unknown numbers that may be bothersome. If you're overwhelmed by persistent telemarketing, spam, or robocalls, then "Calls Blacklist" is the perfect tool for you. Despite its simplicity and lightweight design, it offers robust functionality. All you have to do is add any unwanted numbers to your blacklist. Additionally, this application features a fully functional SMS messaging system, allowing you to send, receive, and manage your text messages seamlessly. You can also handle conversations and eliminate SMS spam all within a single application. Once you activate SMS blocking, the built-in messenger becomes accessible for your use. This app not only allows you to curate a list of spam numbers but also enables you to block spammers based on the content of their messages. Moreover, it’s convenient to export your blacklist numbers to a file, making it easy to import them to another device whenever necessary. This level of versatility ensures that you stay in control of your communications.

Description

To mitigate financial risks and protect their reputations, it is crucial for operators to combat fraud in real-time, especially concerning roaming and national-to-international calls. Many telecommunications providers have implemented various fraud prevention measures; however, the emergence of new technologies continues to unveil additional vulnerabilities. Adopting protective tools against these new attack vectors is often a slow process. As a result, operators are increasingly moving from traditional offline analysis to utilizing network enforcement capabilities that can halt fraudulent calls as they happen. CDR-based systems, which rely on successful call records, unfortunately overlook failed call attempts, limiting their effectiveness to a reactive stance. Consequently, operators are eager to proactively address fraudulent activities at all stages of the calling process. For instance, by tracking the number of call attempts to known black-listed numbers, operators can identify and block PBX hacked devices, as fraudsters typically cycle through multiple numbers before successfully connecting. Moreover, this proactive approach can help in identifying patterns of behavior that are indicative of larger fraud schemes, thereby enhancing overall security.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App Yes 
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 No 
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 No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

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

Vendor Details

Company Name

Vlad Lee

Country

United States

Website

vlmob.com

Vendor Details

Company Name

TOMIA

Founded

1999

Country

United States

Website

tomiaglobal.com/real-time-anti-fraud-raf

Product Features

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 

Alternatives

Alternatives

Who Reviews

Who

Cascadia Labs