Detecting artificial SMS traffic
Detecting artificial SMS traffic
Protect your budget and reputation from automated SMS abuse.
Artificially generated SMS traffic, more commonly known as AIT (Artificially Inflated Traffic), is currently one of the most costly and fastest growing threats to any organization using OTP messages or verification codes.
Automated, advanced bots deliberately initiate thousands of fictitious authorization requests, generating enormous and completely unjustified telecommunications costs for companies before anyone in the security structure has a chance to respond to the incident. Classic, rigid methods of limiting requests (rate-limiting) simply cannot keep up with the dynamically scaling, modern cybercriminal attacks. On client’s commission, our network anomaly detection systems guarantee interactive and secure communication for banking, e-commerce, digital services, and rigorously regulated sectors, eliminating fraud directly within the network.
Detecting artificial SMS traffic
Detecting artificially generated messaging traffic
What do you gain?
Uncompromising protection for your budget
Instantly blocking bogus verification processes completely eliminates the costs generated by malicious, artificial network traffic before any fees can actually be charged to your billing account.
Deep real-time telemetry analytics
The system does not act after the fact. Intelligent algorithms constantly analyze global traffic patterns and dynamically react in fractions of a second, neutralizing a massive attack at its inception.
Protecting the sender's reputation and deliverability
Uncontrolled anomalies and artificial traffic spikes can drastically reduce the scoring of your alphanumeric overrides (Sender ID) with end operators. Early detection ensures the highest quality and high deliverability of your key messages.
Operational comfort without complicated integration
The service operates completely transparently. It is an integral part of our wholesale SMS transit offering or functions in automated post-processing mode, without the need to involve your developers in new implementations.
How does it work and what do we detect?
The platform accurately identifies traffic anomalies clearly indicating the presence of bots, detecting uncharacteristic, massed series of OTP requests originating from a single source or directed en masse to specific, interconnected pools of numbers. Simultaneously, the system provides continuous protection against premium rate abuse attempts, blocking traffic artificially routed to premium rate numbers to illegally generate revenue for fraudsters. We also analyze suspicious SMS routing, quickly revealing any manipulation of the message delivery path.
What do we detect?
Traffic anomalies indicating bots – uncharacteristic series of OTP queries from one source or to one number.
Attempts to abuse premium rates – traffic directed to premium rate numbers in order to generate artificial revenue.
Suspicious SMS route redirects – anomalies in the delivery path indicating traffic manipulation.
For whom?
Suspicious SMS route redirects - anomalies in the delivery path indicating traffic manipulation.
E-commerce and Marketplace sector
Uncompromising protection of transactional and marketing budgets against artificial traffic boosts during mass registrations, loyalty campaigns or seasonal shopping peaks.
Banks, Fintech and Financial Institutions
Maximum security of critical identity verification and operation authorization processes against costly attacks generated intentionally by specialized external entities.
SMS Operators and Wholesale Aggregators
An advanced tool for telecommunications entities that allows them to actively ensure the highest quality of the routes offered, the purity of transmitted traffic, and their reputation in the eyes of their own business customers.
PARP security and technology
- Our solutions are based on advanced machine learning mechanisms, developed and implemented during a proprietary research and development project co-financed by the Polish Agency for Enterprise Development (PARP). These algorithms can detect anomalies completely invisible to traditional rule-based systems. Traffic analysis is performed in real time, directly at the network signal level, without the need for permanent storage or logging of message content, guaranteeing full compliance with EU GDPR regulations and international ISO security standards in Poland.