The emerging rates of spam calls and robocalls are raising to an alarming speed, inviting the attention of the Regulators and telecom providers to address the issue which has been upsetting the communication between consumers and businesses. Reports published in International Journal of Information Security numerous Governments Authorities such as the Department of Telecommunications in India are working harder to block tens of millions of fraudulent calls every day, and the mobile network operators are actually using sophisticated technologies to defend the subscribers against fraud and other troublesome calls. According to experts, billions of spam calls are still being spread every single day across the globe and in most cases, they result in financial fraud, loss of privacy and major user frustration.
The responses to threats in the industry are fast changing as the threat landscape increases. As an example, the Airtel AI-based system is reported to have blocked more than 8 billion spam calls and 0.8 billion spam messages soon after its launch, which demonstrates the strength of machine learning to detect and stop spam on a large scale.
Telecommunication regulators such as TRAI are also compelling the telecommunication providers to move towards more stringent reporting systems and blocklisting unregistered telemarketers, admitting that the conventional blocking techniques cannot be used to safeguard the end users anymore.
The dire need of Service Providers to Act as a Bridge
It is against this setting that the presence of strong anti-spam tools are not only crucial to customer experience, but also network security and brand credibility. The Spam Call Controller produced by Telcovas is one such solution that is generating a ripple effect in the global markets at the moment; it is a solution that has been created to provide mobile network operators with the necessary tools to undergo a digital transformation. This AI-powered system is meant to be a seamless addition to an already existing telecom infrastructure that can take a proactive approach towards spamming and even messaging in real-time.
How Call Control Model Operates
In principle, the Telcovas Spam Call Controller is based on a machine learning and scoring of caller reputations to filter legitimate and potentially harmful traffic directly before reaching end users. Dynamically assign trust to incoming calls, block spam attacks instantly, and define the rules, including blacklists and whitelists, can also be customized to meet the local regulatory needs and customer preferences. This smart filtering is not only effective in preventing nuisance calls, but also helps prevent phishing, identity theft, and fraudulent solicits, among other things, which are becoming more and more frequent in the digital era.
In attaining a model where there are disruptions in the experiences of the consumers, solutions such as the Telcovas Spam Call Controller that are not merely solving a short-term irritation in this environment but are establishing the framework of wiser, more secure mobile networks. With the advancement of spam calls, telecommunication companies with AI-based controls will be better suited to defend the consumers and not lose the confidence of consumers in their services.
