Protecting Against Voice Fraud in an AI-Driven 
World

Protecting Against Voice Fraud in an AI-Driven World

Spam risk phone calls are the scourge of communication service providers (CSPs) around the globe. The evolution of the internet has supercharged this landscape, as voice-over IP (VOIP) capabilities allow fraudsters and bad actors to undertake these calls on a truly industrial scale.

Fraudsters are now able to create automated systems that generate robocalls on a massive scale, using sophisticated dialing software and spoofing the number of origins so that recipients are tricked into believing that the call is from a legitimate source.  In 2024, the telecommunications industry is grappling with an alarming $73 billion in fraudulent losses due to robocalling, according to Juniper Research's Robocall Mitigation & Branded Calling Report.

These calls not only expose customers to risks of fraud, but also pose significant risks to businesses. For telecom companies, the stakes are especially high in countries where regulatory fines are imposed for failing to protect customers from cybercrime related to vishing attacks

The question of how to effectively block likely scam calls has long been a challenge for the telecommunications industry. This has led to regulators and proactive CSPs actively introducing measures to eliminate risk.

Creating a dynamic and scalable solution to tackle scam calls

When trying to stop robocalls and spam calls, it’s important to leverage data to understand the true risk profile of the caller and understand how those risk profiles may evolve over time. 

To address the growing threat of spam and scam calls, it is essential to have real-time response and automated detection solutions in place. AI and machine learning technologies excel in this domain given their ability to adapt, quickly analyze large volumes of call data, and identify anomalies and suspicious user behaviors in real-time to mitigate potential threats.

Neural Technologies' SCAMBlock solution provides unparalleled network-based protection leveraging machine learning technology, designed to stop scam calls at the source with a data-driven approach that protects customers from fraud.

Get in touch to discuss how SCAMBlock can support your customers and your business.

To view or add a comment, sign in

More articles by Neural Technologies

Insights from the community

Others also viewed

Explore topics