Real-Time STIR/SHAKEN Robocall Blocking »

The average worker receives more than 100 unwanted automated unwanted robocalls quarterly. In 2019, US business lost more than $9.5B in productivity time and theft losses due to robocalls according to published TechRepublic sources. Robocall scammers stole an average of $430 per successful connection, represented more than 250,000 robocall complaints every two weeks, out of which 35,000 are new numbers, according to the FTC. Turning back the onslaught of enterprise Robocalls is a primary RedShift Networks benefit. Nearly 58 billion robocalls arrived with unwanted offers delivering telemarketing or other promotions.

To limit robocall damage, most Session Border Control (SBC) providers and communication providers are adopting FCC framework of interconnected standards called STIR (Secure Telephony Identity Revisited) and SHAKEN (Secure Handling of Asserted information using tokens). STIR/SHAKEN standard is implemented in RedShift Networks software and limits the number and dangerous exploits of robocalls hitting networks by verifying the caller ID number legitimately initiating the call.

RedShift Networks successfully completed and published interoperability testing of its STIR/SHAKEN anti-robocall solution with the industry-leading ATIS Robocalling Testbed, hosted by the Neustar Trust Lab. RedShift Networks real-time STIR/SHAKEN robocall blocking and auto mitigation includes Advance Fraud Interdiction (AFI) intelligence. AFI powers RedShift Networks’ unique 3 million plus known bad robocall-prevention database growing at 30,000 numbers daily.

Combined with the UCTM patent approved technology, RedShift Networks helps enterprises uniquely combine behavioral analytics, real time scoring system, fingerprinting, fraud detection and threat intelligence database. This approach delivers a real-time, context driven visibility and protection in detecting and blocking robocalls through sophisticated algorithms, customer data sources, honeypots and other global detection and elimination mechanisms to detect robocalls globally.

The Growing Threat of Robocalls in the U.S.

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