If you are looking at endpoint management or cybersecurity platforms, you have almost certainly come across Tanium. The company has built its reputation on real time visibility and control across millions of endpoints, and it now positions itself at the centre of what it calls Autonomous IT, blending endpoint management, exposure management and security operations into a single platform. For enterprise IT and security leaders weighing up how to consolidate fragmented tooling,

When an IT incident strikes, every minute of downtime carries a cost: lost revenue, frustrated users, and pressure on teams who are often working without the right tools to respond quickly or consistently. For many organisations, incident response still relies on a patchwork of ITSM ticketing systems, messaging channels, and manual escalation processes that were never designed for real-time coordination. The result is slower resolution, inconsistent communication, and post-in

Organisations deploying AI at scale are facing a question that did not exist five years ago: how do you govern something that makes decisions, produces outputs, and influences outcomes in ways that are not always predictable or explainable? The EU AI Act has moved from regulation in principle to regulation in practice, and boards, risk committees, and regulators are all asking harder questions about how AI models are validated, monitored, and controlled. For many enterprises,

Controlling who can access what - and proving it - has moved from a back-office IT concern to a board-level priority. Security breaches, regulatory mandates such as NIS2 and DORA, and the rapid expansion of cloud, hybrid work, and third-party ecosystems have made Identity and Access Management one of the most scrutinised technology investments an organisation can make in 2026. AI-driven threat actors and the explosion of machine identities are accelerating demand further, pus