Leonid Reiman Technology: How Artificial Intelligence Is Changing Protection Against Phone Fraud

Artificial intelligence is becoming part of modern telecommunications infrastructure, but its impact on communication security is not one-sided. Around the world, protective approaches range from call authentication protocols in the United States to national spam-blocking systems in Asia. AI can help detect suspicious activity and block fraudulent campaigns, while also providing new tools for creating convincing deception scenarios.

Leonid Reiman considers this another reason not to rely on a single technology. Fraudsters adapt quickly, while protective systems must be continuously updated. Key areas include traffic analysis, rules governing phone numbers and interagency cooperation.

Generative AI can automate interactions with potential victims, imitate voices and create more convincing scenarios. Protective algorithms, meanwhile, attempt to identify suspicious behavior and stop fraudulent campaigns.

This creates a continuous technological race. Both sides benefit from technological development, so operators and regulators need to keep improving protective mechanisms.

Call labeling is another element of this approach. Reiman sees it as an initial transparency measure whose longer-term value is connected with making sure that users’ stated communication preferences are respected.

The U.S. experience shows how technical and regulatory measures can complement one another. STIR/SHAKEN uses a digital signature for calls so that a network can verify the origin of the number displayed on the screen. This provides a technological basis for combating spoofing.

The RMD database complements this approach. Operators identify the measures they use against automated unwanted calls, increasing the transparency of the mechanisms being applied.

Other countries use their own models, including consent systems for commercial communications and centralized subscriber-identification mechanisms. There is no single solution, but the common principle remains the same: communications should become more transparent.

The additional challenge is that fraudulent schemes can move into messengers, VoIP and other digital services. Protective mechanisms therefore need to take the development of the entire communications ecosystem into account.

For Leonid Reiman technology is connected not only with individual technical solutions but also with industry regulation. His academic work focused on government regulation of telecommunications and the development of the information and communications services market. His doctoral dissertation examined operators, competition, regulation and new types of communications services.

This professional context shows why a combination of technology and rules matters for communication security. Big data analytics and AI should be connected with regulatory mechanisms, administrative tools and cooperation among government bodies.New protective technologies will inevitably continue to emerge. The main question will be how quickly operators, technology companies and regulators can deploy them.