Kal De leads Products & Engineering for Nokia’s Cloud & Network Services business. His teams build cloud-native software to help CSPs and enterprises create networks that sense, think and act.
Generative AI has lowered the barriers to creating malware and launching cyber attacks, making it possible for even less experienced hackers to attempt to compromise critical businesses and infrastructure, including telecommunications networks.
Consider an attack targeting a specific network element, such as a backdoor installed to extract data. To properly mitigate this incident, security analysts would need to correlate a lot of information.
LLMs can even help CSPs navigate the ongoing cybersecurity skills shortage by empowering junior SOC analysts to solve more kinds of incidents. With fewer incidents being escalated to higher tier analysts, those more senior resources are free to focus their energy on more sophisticated, mission-critical threats.
But perhaps the most important prerequisite is an LLM designed specifically for the telecoms industry. A generic LLM, or even one designed for the IT industry, would not be adequate for protecting telecoms networks. That’s because telecoms security is far more complex than IT security.
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