Sometimes, technology moves faster than legacy tech companies can follow. We're seeing that now in two areas, with generative AI dominating nearly every conversation that isn’t about cybersecurity – both top of mind for enterprise CIOs.
Traditional enterprise software companies are leveraging large language models to attack conceptually simple problems. Cybersecurity vendors, for example, use generative AI's natural language capabilities to better understand alert and observability data by writing and executing complex queries using LLMs.
At the same time, the cybersecurity landscape is evolving at a nearly unmeasurable rate. The days of signature-based malware detection are disappearing; for example, using regular expressions and pattern matching for cloud access security can limit the effectiveness of a CASB tool. Innovation in bringing new approaches to these problems to market is emerging from a new generation of cybersecurity startups.
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