Bank Cybersecurity in 2026. How AI and Telecommunications Data Detect Financial Fraud
The Banking Security Forum has remained one of the most important events dedicated to protecting Poland’s financial sector for years. This is where experts from banking, fintech, and cybersecurity jointly analyze the latest threats. During this year’s edition, the NEXT MOBILE team spoke with bank representatives about challenges that increasingly affect not only IT systems but telecommunications infrastructure. How can we effectively protect customers from fraud today? The key turns out to be combining artificial intelligence (AI) and data from mobile carriers.
What Is Fraud and Why Is Telecommunications the New Front Line?
Before we move on to technology, let’s clarify the most important concept: what is fraud?
Fraud is simply broadly defined financial deception. In the digital world, it means a situation where a criminal impersonates a customer or bank employee to steal money or extract sensitive data. Just a few years ago, bank security was mainly associated with protecting applications and servers. Today, most cyberattacks begin with a simple phone call, SMS message, or login process. Fraudsters rarely break into bank systems. They much prefer to manipulate the user.
Most Popular Telecommunications Fraud Schemes:
- SIM Swap (SIM Card Duplication): A criminal obtains a copy of your SIM card from the carrier. This allows them to take over your phone number and intercept SMS messages with authorization codes from the bank.
- Vishing and Smishing (Fake Calls and SMS): A fraudster calls (vishing) impersonating a bank employee or sends an SMS (smishing) with a link to a fake login page.
- AIT (Artificially Generated Traffic): Criminals use bots to mass-generate SMS traffic (e.g., PIN code requests), exposing companies and banks to enormous telecommunications costs.
How Artificial Intelligence and Telecom Data Block Fraudsters
Since criminals’ methods have evolved, defense systems also had to change. Modern anti-fraud systems don’t wait for a customer to lose money—they act in real time. Artificial intelligence (AI) and machine learning models can analyze millions of operations in a fraction of a second and detect anomalies. If the system sees unusual user behavior, it immediately raises an alarm. Carrier data (telecommunications) plays a huge role here. Combining banking systems with carrier intelligence allows instant verification of:
- Whether the customer’s SIM card was replaced immediately before a transfer order (protection against SIM Swap).
- Whether the phone’s location is changing in a suspicious, unnatural way.
- Whether the authentication and login process proceeds without disruption.
This way, the bank knows whether the operation is being ordered by the actual account owner or a fraudster who has taken over their identity.
The Future of Cybersecurity Is Service Integration
During the Banking Security Forum, experts agreed: individual security tools are not enough. The future lies in comprehensive platforms that combine communication analysis, identity verification, and advanced fraud prevention mechanisms. This approach not only enables faster detection of real threats but also drastically reduces the number of false alarms that often frustrate honest customers.
How NEXT MOBILE Supports Financial Sector Security
Solutions developed by NEXT MOBILE fit perfectly into the modern protection model. Our platform integrates telecommunications data analysis, AI engines, and modern identity verification tools. We support banks, fintechs, and organizations operating in high-risk environments in effectively combating cybercrime. Participation in the Banking Security Forum confirmed that effective money protection in 2026 is based on a close alliance of telecommunications technologies, artificial intelligence, and instant data analysis.