Nominated
EXCELLENCE AWARD: INNOVATION
Infobip is arguably the world’s largest messaging provider, but also one of the world’s largest providers of anti-fraud solutions for messaging, primarily through its SMS firewall solution. Since the acquisition of SMS firewall peer Anam, Infobip has further developed its firewall to become an omnichannel proposition, adding voice call screening to prevent grey routes from impacting mobile operator revenues and network usage. Based on this extensive experience and expertise, Infobip is also developing a new anti-fraud solution, this time to prevent artificial messaging traffic inflation fraud that adversely impacts enterprises using SMS messaging for authentication.
Artificial traffic inflation fraud aims to generate huge OTP SMS traffic and thus create undue costs for enterprises. This has been observed with several Infobip clients, where unusual messaging trends and patterns were recorded recently. Based on Infobip’s own research, up to 25% of traffic can be generated in this way, not only creating costs for enterprises, but also leading to a loss of trust in the mobile industry. A good example is recent statement by Elon Musk who mentioned excessive OTP SMS payments by Twitter. This is a serious issue for all players, including mobile operators. Infobip has developed Signals, a CPaaS platform add-on that screens Using Machine Learning, Signals monitors the behaviour of numbers sending inbound SMS messages, and scores anomaly patterns to determine if the number is a person, a bot, and ultimately automatically detecting and stopping artificially generated traffic. Signals is based on extensive ML and AI experience derived from SMS firewall development, and prevents increased costs from inflated SMS or voice traffic. Additionally, Signals removes added friction from existing anti-bot solutions, and prevents impact on legitimate interactions, reducing or eliminating reputational damage to digital platforms and enterprises, and MNOs. Infobip Signals is currently in early access phase, with 6 clients in pilot, and the results so far have saved over USD 1.5 million over the course of a single month in function. The near-term plan is to make Signals available worldwide once fully mature, and also further evolve it into an MNO solution, since the interest is already there.