AI

Pranav Shikarpur

As companies increasingly turn to AI-driven systems to support customer interactions through systems like chatbots and streamline operations, Retrieval-Augmented Generation (RAG) has become a popular framework for enhancing large language models (LLM...

Keith Casey

When we look at the current state of generative AI, we think of products like ChatGPT, Google Gemini, Claude, and similar. Those are all publicly available tools trained on public data and useful for general topics for a general audience. But if we e...

John Gamble

I have spent much of the past two months on the road speaking with organizations of all industries about their AI application initiatives and I am struck both by their techno optimism and by the depth of their security concerns. The pace of innovatio...

Pranav Shikarpur

In recent years, large language models (LLMs) like GPT-3 and GPT-4 have revolutionized how enterprises, especially in healthcare and finance, process and interact with data. These models enhance customer support, automate decision-making, and generat...

John Gamble

Do you remember when and where you first used an AI-powered product that caused you to question reality? I do. In the spring of 2022, I tested a synthetic text-to-voice app that was so uncannily realistic that I briefly questioned if it was truly AI ...

Pranav Shikarpur

Your data has been exposed—and not because of a classic bug, but because your LLM accidentally leaked it. Sensitive information disclosure is a growing concern, especially with the rise of Large Language Models (LLMs) in our apps. This vulnerability ...

Michael Weinberger

In the ever-evolving landscape of AI code generation and developer assistance tools, providing users with accurate and relevant information quickly is crucial. To help ensure that developers can swiftly and easily add security features to their produ...