When it comes to large language model-powered tools, there are generally two broad categories of users. On one side are those who treat AI as a powerful but sometimes faulty service that needs careful human oversight and review to detect reasoning or factual flaws in responses. On the other side are those who routinely outsource

Banks and other firms that want to work on SpaceX’s initial public offering (IPO) are being required to buy subscriptions to the Grok AI service, The New York Times reported today. Elon Musk “is requiring banks, law firms, auditors and other advisers working on the IPO to buy subscriptions to Grok, his artificial intelligence chatbot

Imagine never having to click through a software application again. Ever. The days of finding yourself staring blankly at the first screen of a new tool and wondering “What do I do now?” are disappearing. AI is quietly changing the way software is built and it’s a massive deal. Instead of software applications that users

The same technology that financial institutions deploying is being weaponised against them. That is the core tension running through Experian’s 2026 Future of Fraud Forecast, and it’s a tension the company is in a position to name because it sits on both sides of it. According to FTC data cited in the forecast, consumers lost

Much of the current focus on AI safety has centred on models – how they are trained and monitored. But as systems become more autonomous, attention is changing toward the data those systems depend on. If the data feeding an AI system is fragmented, outdated, or lacks oversight, the system’s behaviour can become more unpredictable.

China has approved its 15th Five-Year Plan setting out the country’s economic, education, social, and industrial priorities through to 2030. As might be expected, there is a significant number of references to AI, with the technology mentioned in several contexts. AI is grouped alongside quantum computing, biotechnology, and energy as paths that are to

A decade ago, it would have been hard to believe that artificial intelligence could do what it can do now. However, it is this same power that introduces a new attack surface that traditional security frameworks were not built to address. As this technology becomes embedded in critical operations, companies need a multi-layered defense strategy

With the launch of KiloClaw, enterprises now have a tool to enforce governance over autonomous agents and manage shadow AI. While businesses spent the last year securing large language models and formalising vendor agreements, developers and knowledge workers started moving on their own. Employees are bypassing official procurement, deploying autonomous agents on personal infrastructure to

Numos, an AI platform built for enterprise finance teams, has closed a $4.25 million seed round led by General Catalyst, with participation from Operator Collective. The company’s software integrates with existing finance infrastructure, analyzing transactions across accounting systems, billing tools, data warehouses, and spreadsheets to help organizations make faster, more strategic decisions. Unlike many AI

Microsoft is making a bigger AI push than most people saw coming. In one week, the company rolled out new Copilot upgrades and introduced three foundational AI models built in-house. That stands out because Microsoft isn’t only layering AI features into existing products. It’s building more of the core technology behind them. The new models,