ChatGPT captured the world’s imagination, but it may have also trapped it. The chatbot interface—with its familiar conversational format—made AI accessible to millions, demonstrating the remarkable capabilities of large language models (LLMs) in a package that felt natural and inviting. Yet this very success has created a misconception: that AI equals chatbots, and that every application needs a chat window to be AI-powered. The reality is more nuanced. ChatGPT succeeded not just because of its underlying technology, but because it brilliantly matched interface to capability. By packaging AI in a conversational format, OpenAI created a product where errors were acceptable—even expected. Users could correct misunderstandings, refine prompts, and iterate toward better answers. The chatbot became the perfect vehicle for technology that was inherently probabilistic and occasionally wrong. But what works for general-purpose exploration doesn’t translate to domain-specific business applica...
It seems in the great, exhilarating, terrifying race to take advantage of agentic AI technology, a lot of us are flooring it, desperate to overtake competitors, while forgetting there are several hairpin turns in the distance requiring strategic navigation, lest we run out of talent in the pursuit of ambition and wipe out entirely. One of the major “hairpins” for us to overcome is security, and it feels like cyber professionals have been waving their arms and shouting “watch out!” for the better part of a year. And with good reason: On Friday, the 14th of November, Anthropic, a world-renowned LLM vendor made famous by its popular Claude Code tool, released an eye-opening paper on a cyber incident they observed in September 2025 that targeted large tech companies, financial institutions, chemical manufacturing companies, and government agencies. This was no garden-variety breach, it was an early holiday gift for threat actors seeking real-world proof that AI “double agents” coul...