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Description

C-Prot Fraud Prevention provides a robust solution for organizations aiming to identify and thwart fraudulent activities, including financial scams and phishing attempts across mobile and web platforms. It supports a range of integration options, whether cloud-based or on-premises, to suit various organizational requirements. By implementing C-Prot Fraud Prevention, companies can bolster their security protocols, effectively safeguarding their resources against fraudulent threats. Utilizing sophisticated algorithms alongside advanced artificial intelligence, this solution facilitates real-time identification of suspicious activities, thereby enabling prompt actions to avert potential harm. Its cutting-edge features guarantee a swift response to fraudulent occurrences, significantly reducing risks and shielding businesses from monetary losses. Additionally, it possesses the ability to determine if a device is utilizing remote desktop software or if it is being accessed directly by the user. This added layer of analysis enhances the overall security framework, ensuring that organizations can maintain a vigilant stance against evolving threats.

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 Yes 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
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 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) Yes 
In Person Yes 

Types of Training

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

Vendor Details

Company Name

C-Prot

Country

Turkey

Website

www.c-prot.com/en/corporate-products/c-prot-fraud-prevention

Vendor Details

Company Name

TOMIA

Founded

1999

Country

United States

Website

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

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 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

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TAFraudSentry

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