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.
Based on the search results provided, the most widely used generative AI search solutions currently are: Bing's AI-enabled search engine with chatbot functions 2 . The search results indicate that Bing and Google's Search Generative Experience (SGE) are currently the top AI-powered search engines. Perplexity AI, an AI-powered search engine that includes natural language functions similar to ChatGPT and can provide sources to back up its generated responses. 4 DuckAssist, an AI feature in the DuckDuckGo search engine that generates answers using auto-summaries of Wikipedia pages. 4 The search results also mention that ChatGPT is the most widely used generative AI service among internet users aged 16 and above. 5 However, the results do not indicate that ChatGPT itself is a search engine solution. Additionally, the search results highlight that generative AI search is being rapidly adopted by younger users, with 79% of online teenagers aged 13-17 using generative AI tools and services, compared to 31% of adult internet users