Adrian Johnson
TLDR:
– Large-language models (LLMs) are being used in security operations centers for faster and more efficient security operations.
– While LLMs have impressive generative AI capabilities, they are limited by their lack of true cognitive understanding.
The Limits of New AI Technology in the Security Operations Center
Augusto Barros explores the use of large-language models (LLMs) in security operations centers (SOCs) and highlights the limitations of current AI technology in threat detection and response.
Barros emphasizes that while LLMs show promise in creating text summaries of incidents and investigations, their lack of cognitive understanding limits their effectiveness in detecting unknown attacks. The article explains how AI technology is still not capable of handling new, fileless attacks that go undetected by traditional detection systems.
The author also cautions against overstating the capabilities of LLMs, noting that organizations should understand where these technologies excel and where they fall short. While LLMs can be valuable tools in certain areas of security operations, they are not a one-size-fits-all solution and should not be stretched beyond their capabilities.
In conclusion, Barros stresses the importance of knowing the limits of AI in the SOC and highlights the ongoing role of human analysts in threat detection and response until the development of artificial general intelligence (AGI).
