The new capabilities enable operators to easily identify and automatically block spam robocalls, ultimately protecting their network and their subscribers. In addition, operators will now benefit from global robocalling insights and fraud-fighting capabilities.
“Intelligence sharing is one of the most powerful weapons in the fight against telecoms fraud. With the advancement of our FraudGuard platform, we have augmented our threat intelligence capabilities to give operators greater insights into the fraud and security landscape to significantly mitigate the impact of robocalling attacks,” said Katia Gonzalez, head of fraud prevention and security at BICS and named one of Capacity’s Power 100 2021 listing.
“We’ve seen the success of this approach for other types of fraud time and time again – and, by combining our expertise in fraud and international communications with extremely focused and curated threat intelligence on robocalls, we can help operators to enhance protection for their network and, crucially, for their customers.”
According to the May 2021 YouMail Robocall Index, 47 million scam robocalls were made every single hour in the US, while the FTC reported approximately $70 million in losses for the first half of 2020. Other geographies are facing similar issues, with Brazil now topping the list and Europe featuring heavily in Truecaller’s 2020 spam call report.
In response to this the Federal Communications Commission (FCC) is implementing several measures including caller identification technology known as STIR/SHAKEN, that aims to combat fraudulently spoofed caller identity (CLIs) which enables robocall activity.
The enhancements announced by BICS, means that global operators can ensure that the international traffic reaching them is valid, while safeguarding their networks and end-users from fraud attempts.
External data points, together with BICS’ global data analysis across services and machine learning, underpin the threat intelligence database, automatically blocking robocalls, as well as identifying suspicious traffic.
