LLMs can supercharge your SOC, but if you don’t fence them in, they’ll open a brand-new attack surface while attackers scale faster.
Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...
Traditional SEO markup (schema.org, JSON-LD, meta tags) was designed for search engine crawlers that index pages. AI agents operate differently -- they retrieve, synthesize, and reason across content.
An analysis of LLM referral traffic shows low volume, rapid growth, shifting citations, and an 18% conversion rate.
To protect private information stored in text embeddings, it’s essential to de-identify the text before embedding and storing it in a vector database. In this article, we'll demonstrate how to ...
Two of the world's biggest AI companies, Google and OpenAI, both warned this week that competitors including China's DeepSeek ...
EXLS], a global data and AI company, announced that it has been granted 10 new U.S. patents in the last year for innovations that power solutions ...
Driven by the artificial intelligence frenzy, Microsoft is internally projecting that water use at its data centers will more than double by 2030 from 2020, including in places that face shortages.
Abstract: In this paper, we propose an automatic topic-name extraction method that combines explainable AI (XAI) and a large language model (LLM) for text datasets. In the past, topic models such as ...
Editor’s note: This work is part of AI Watchdog, The Atlantic’s ongoing investigation into the generative-AI industry. On Tuesday, researchers at Stanford and Yale revealed something that AI companies ...
Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...
The rising use of generative AI tools like Large Language Models (LLMs) in the workplace is increasing the risk of cyber-security violations as organizations struggle to keep tabs on how employees are ...