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,

AI has always been a bit of a runaway train. It’s exciting. It’s cool. It’s a bit irresponsible. But the train is finally starting to hit the brakes. And depending on which side of the tracks you are on, that is either a good thing… or a very bad thing. So let’s start with regulation.

Artificial intelligence is moving beyond software and further into the physical side of business. Companies in food production and logistics are starting to use data systems to support day-to-day decisions, not long-term planning. That change is visible in The Hershey Company’s latest strategy update. At its Investor Day, the company said it plans to use

AI is everywhere in the enterprise. The translation workflow often is not. That is the core finding of DeepL’s 2026 Language AI report, “Borderless Business: Transforming Translation in the Age of AI,” published on March 10. Despite broad AI investment across business functions, the report reveals that language and multilingual operations–workflows that touch sales, legal, customer support, and

Global AI investment is accelerating, yet KPMG data shows the gap between enterprise AI spend and measurable business value is widening fast. The headline figure from KPMG’s first quarterly Global AI Pulse survey is blunt: despite global organisations planning to spend a weighted average of $186 million on AI over the next 12 months, only

At a glance AI benchmarks report performance on specific tasks but provide limited insight into underlying capabilities; ADeLe evaluates models by scoring both tasks and models across 18 core abilities, enabling direct comparison between task demands and model capabilities. Using these ability scores, the method predicts performance on new tasks with ~88% accuracy, including for

depthfirst, an applied AI lab focused on software security, has raised $80 million in a Series B round. The round was led by Meritech Capital, with participation from Forerunner Ventures and The House Fund, alongside existing backers including Accel, Box Group, Liquid 2 Ventures, Alt Capital, and Mantis VC. The new capital brings the company’s