How are LLMs with Endpoint Data Boost Cybersecurity

The issue of capturing weak signals across endpoints and predicting possible patterns of intrusion attempts is ideally suited for Large Language Models.
The objective is to mine attack data in order to improve LLMs and models and discover new threat patterns and correlations.
Recently, some of the top endpoint detection and response and extended detection and response vendors were seen taking on the challenge.
It has been demonstrated that XDR can produce better signals with fewer noise.
Compared to the larger information security and risk management market, spending on EDR and XDR is expanding more quickly.
As a result, there is more intense competition across EDR and XDR providers.
According to Gartner, the market for endpoint security platforms will expand at a compound annual growth rate of 16.8% from its current $14.45 billion to $26.95 billion in 2027.
With an 11% compound annual growth rate, the global market for information security and risk management is expected to reach $287 billion by 2027 from $164 billion in 2022.


This Cyber News was published on www.cysecurity.news. Publication date: Sun, 31 Dec 2023 16:13:06 +0000


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