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Generative AI
Cloud
Testing
Artificial intelligence
Security
Our research indicates that cybersecurity breaches in telecom organizations have increased from 46% in 2021, to 86% by 2023. Threat actors use Artificial Intelligence (AI) and Generative AI (Gen AI) for more sophisticated attacks, including malware creation, social engineering, and phishing. Organizations, therefore, must contend with an expanded attack surface due to risks such as prompt injection, vulnerabilities in AI-integrated applications, shadow AI, and internal misuse. Further, the entire lifecycle of Gen AI solutions —from enterprise data collection and model customization to development and maintenance —must be secured.
One promising solution to combat these security challenges is the integration of AI and Gen AI into telecom cybersecurity strategies. By leveraging AI technologies, telecom companies can enhance their ability to detect, prevent, and respond to potential threats in real time.
To gain a deeper understanding of how telecom companies are using AI and Gen AI to address these rising cybersecurity risks, download our latest report New Defenses, New Threats: What AI and Gen AI Bring to Cybersecurity.
This cross-sector report brings you insights from a survey of 1,000 organizations and includes a telecom-specific section [page 28 onward] encompassing exclusive information and statistics, real-world telecom use cases and valuable perspectives for organizations looking to bolster their cybersecurity strategies amid the transition.
1 PDF (3 MB)
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VP Global CTO Applications, Cloud & Experience
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