GenAI in Telecom 2025 - Machine Learned Friend or AI Generated Enemy

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GenAI in Telecom 2025 - Machine Learned Friend or AI Generated Enemy

In 2025, AI is set to transform network and personal security, reshaping responses to security threats. The discussion revolves around four key areas: the impact on network security, regulatory challenges, the personalization of consumer fraud, and the need for AI in combating data charging bypass fraud. The rise of low-quality AI-generated attacks from script kiddies highlights the urgent need for AI-driven defenses.

Regulatory approaches to AI are evolving, with the EU leading in governance while the US takes a fragmented path. Scammers are increasingly using AI to create sophisticated, personalized attacks, making traditional defenses inadequate. The telecom sector must adapt to new fraud types, emphasizing the importance of AI in both offense and defense strategies.

• AI will reshape network security and personal security responses by 2025.

• Scammers will leverage AI for highly personalized and sophisticated fraud attacks.

Key AI Terms Mentioned in this Article

Script Kiddies

Low-skilled hackers using existing tools to launch cyberattacks, exploiting AI resources.

AI Regulation

The evolving governance of AI technologies, with varying approaches across regions.

Data Charging Bypass Fraud

Fraudulent activities where users circumvent data charging rules to access services for free.

Companies Mentioned in this Article

ENEA

A company involved in telecom solutions, focusing on AI-driven standards for mobile data access.

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