Let us introduce you to Infobip Signals – AI service that prevents fake accounts and SMS fraud.
In today’s digital landscape, businesses face numerous challenges in ensuring the security and integrity of their communication channels. Fraudulent activities such as SMS pumping fraud pose significant threats, leading to increased costs and compromised user experiences.
That is where Infobip Signals enters the scene as the world’s first AI-based software service that prevents the automatic creation of fake accounts on social media and software platforms.
In this tutorial, we will explore how developers can utilize Infobip Signals to improve their projects.
Step 1: You need to get a handle on how fraudulent schemes operate
Let’s begin by understanding the various fraudulent activities that developers may encounter. One of them is SMS pumping fraud (a practice where artificial traffic inflates costs and undermines the integrity of mobile networks). Besides that, there is also fake account creation, unauthorized access attempts, etc.
Recognizing these threats is the first step in implementing effective fraud prevention measures.
Step 2: Meet Infobip Signals
We already said that Infobip Signals is a fraud prevention product designed to combat SMS pumping fraud.
But how can Signals do that?
To avoid being detected, fraudsters will attack by sending one or two OTP requests from a range of numbers. The following scenario will appear as follows:
- Your business receives OTP requests, but not all of them are legitimate traffic.
- Infobip Signals will check for patterns and flag numbers that are potentially fraudulent.
- Our CPaaS platform uses data and insights to block numbers if the risk score is above the defined target.
- If the number is blocked, an error code is sent via a delivery report and logged, the transaction is not charged.
Advanced technologies such as machine learning and adaptive algorithms help Signals do so and offer developers comprehensive protection against fraudulent activities across communication channels.
Step 3: Let’s dive deeper into what Signals does
Some of the patterns Signal is monitoring:
- Number of received messages per phone number – if a specific phone number received more traffic than expected,
- Number of received messages per phone number range,
- Several errors per prone number range – like above, ranges with a lot of specific errors are considered suspicious.
For each message sent, Signals calculates the risk score. The risk score is a number from 0 to 100 where 0 represents several high trust and no suspicious behavior detected, and 100 is highly suspicious. Signals automatically block certain destinations or ranges detected as substantial risk.
This option can be activated at the account level with a set threshold. Blocked traffic won’t incur charges or count towards monthly volumes until the score falls below the defined threshold.
Step 4: Now let’s do the implementation and integration
This is the most fun part. Why? Because Infobip Signals is integration-free, you can start blocking fake OTP traffic with zero effort or work needed from your business.
It is also a completely automated solution – with machine learning and adaptive algorithms, fraudulent traffic is automatically blocked with no extra work required from your end, allowing you to focus on genuine senders only.
This reflects on your costs – you will pay only for legitimately requested OTP traffic and will save money by effectively blocking artificially generated SMS.
Of course, you can tailor your fraud protection settings to fit the region or network you are sending OTPs in, depending on how likely artificial traffic is to occur.
Want to learn more? Visit Infobip Signals to discover additional information.
