New AI-based technology enables telephone service providers to combat spam & Caller ID mislabeling, aligning with FCC directives. Automated verification ensures accuracy, reducing fraudulent calls
TekVizion, the leading provider of user experience testing for enterprise communications, has unveiled a one-of-a-kind Telephone Number Ownership Verification (TNOV) solution that ensures the authenticity of phone numbers and prevents Caller ID mislabeling. TekVizion NumberGuard helps businesses safeguard their brand integrity, enhance customer trust, and significantly reduce the impact of fraudulent and spam communications on their operations. For phone number providers looking to comply with the FCC’s emerging “know your customer” directives, TekVizion’s AI-based technology offers a reliable and efficient path for trusted number verification.
“Caller ID mislabeling is an industry-wide problem that undermines business-to-consumer communication,” says Jonathan Sieg, Head of Product, TekVizion. “Billions of dollars are wasted due to mislabeling as ‘possible spam’ and fraudulent number spoofing”.
“Caller ID mislabeling is an industry-wide problem that undermines business-to-consumer communication. Billions of dollars are wasted due to mislabeling as ‘possible spam’ and fraudulent number spoofing”
In the US alone, a staggering 26% of calls in 2023 were spam, with consumers bombarded by approximately 5.26 million fraud calls and 281 million nuisance calls. The ease of acquiring phone numbers and the lack of regulation over Caller ID content has resulted in an onslaught of deceitful and nefarious calls.
Recommended AI News: DigitalOcean Unveils Enhanced Data Backups to Strengthen Business Continuity
Solutions like STIR/SHAKEN provide some respite using authentication, though it doesn’t ensure Caller ID accuracy. TekVizion NumberGuard provides definitive verification, which complements STIR/SHAKEN.
TekVizion NumberGuard uses artificial intelligence and sophisticated language modeling to scrutinize and verify millions of telephone numbers in service providers’ databases. This automated process ensures that telephone numbers are used in a manner consistent with the identity claimed by their users. Automation with AI allows the technology to scale to millions of number verifications per month, as compared to current unmanageable manual schemes.
Nathan Strattron, Head of Innovation, TekVizion adds “the current process for number verification is fraught with errors, is too time consuming, and can’t stay current”
Recommended AI News: Perigon Secures $5 Million in Seed Funding to Structure the Open Web for AI
In instances where NumberGuard detects an issue, the AI-driven system initiates a comprehensive investigation. Then it appends the database as may be needed and provides reporting for any necessary follow-up actions.
TekVizion has completed testing of NumberGuard with two major U.S. service providers, where it was used to automatically analyze millions of phone numbers with outstanding results. Of the numbers analyzed, 30% of the reported owners were inaccurate, leading to mislabeling as possible spam. Another 20% were no longer in service or otherwise outdated, with the remaining 50% being accurate.
According to the project lead at one provider, “TekVizion’s approach to telephone number verification has been a game-changer for us. This is the first TNOV solution we’ve seen that enables us to maintain an accurate and verified database of phone numbers. We’re already seeing a significant reduction in spam and fraudulent calls as a result.”
Recommended AI News: AttackIQ Secure Continuous Authority to Operate from the US Marine Corps Recruiting Command
[To share your insights with us as part of editorial or sponsored content, please write to sghosh@martechseries.com]
Comments are closed.