If your organisation is looking at business process management, process automation, or governance, risk and compliance software, GBTEC is a name that will almost certainly appear on your radar. The German vendor has quietly built one of the most complete process transformation platforms in the market, combining BPM, enterprise architecture management, process mining, workflow automation, and GRC in a single product called BIC Platform. In this profile, we look at who GBTEC ar

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

The network is the foundation everything else runs on. When it performs well, it is invisible to the business. When it does not, the impact is immediate and wide-reaching: applications slow down, users lose productivity, customer-facing services degrade, and IT teams face pressure to find the cause fast, often without a clear picture of where the problem actually sits. In environments that now routinely span on-premises data centres, multiple cloud providers, remote offices,

When a performance problem hits a modern IT environment, finding the cause is rarely simple. A slowdown in a customer-facing application might originate in a microservice, a database query, a network hop, a cloud resource constraint, or any combination of the above, spread across dozens of interconnected components that span on-premises infrastructure, multiple cloud providers, and containerised workloads. The engineers tasked with diagnosing the issue are often working with

Enterprise IT teams have a tough role. The environments they manage have grown dramatically in complexity: on-premises servers sit alongside multi-cloud deployments, containerised workloads, and edge infrastructure, all needing to function together reliably. At the same time, teams are expected to do more with leaner headcounts, tighter budgets, and near-zero tolerance for downtime. When something breaks, or performance degrades, the business feels it fast, and IT is expected

IT operations teams are not losing sleep over a shortage of data. They are losing sleep because the data never stops. Modern digital environments generate tens of thousands of alerts, events, and telemetry signals every day, across infrastructure that spans on-premises servers, multiple cloud providers, containerised workloads, and a growing sprawl of monitoring tools that were never designed to talk to each other. The result is alert fatigue, slow incident response, and oper

Most organisations know they have an IT asset management problem long before they do anything about it. Laptops that appear on the network but not in any register. Software licences being paid for that nobody is using. Cloud spend that has grown faster than anyone's ability to track what was provisioned and by whom. Audit requests that trigger weeks of spreadsheet archaeology. The consequences range from wasted budget and compliance risk to genuine security exposure - unmanag

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

Enterprise IT teams in 2026 are managing more infrastructure complexity than ever - spanning on-premises, multi-cloud, containerised, and edge environments simultaneously, often with leaner teams and tighter budgets. IT Operations Management (ITOM) software exists to bring order to that complexity: automating routine tasks, providing end-to-end visibility, and ensuring the business services that run on IT infrastructure stay available and performant. AI is reshaping this cate

Tanium built its reputation on something genuinely distinctive: a linear chain architecture that allows security and IT operations teams to query and remediate every endpoint across a global estate in seconds, not hours. For large enterprises with complex, distributed infrastructure, that speed-at-scale capability has been hard to match. But not every organisation is running that kind of estate - and even those that are sometimes find that the platform's cost, complexity, or

Most organisations know they have an IT asset management problem long before they do anything about it. Laptops that appear on the network but not in any register. Software licences being paid for that nobody is using. A cloud spend that has grown faster than anyone's ability to track what was provisioned and by whom. Audit requests that trigger weeks of spreadsheet archaeology. The consequences range from wasted budget and compliance risk to genuine security exposure - unman

The volume, speed, and sophistication of cyber threats have long since outpaced what human-only security operations can manage. Security teams are drowning in alerts, understaffed relative to the threat landscape, and operating tools that were designed for a perimeter that no longer exists. AI is not a silver bullet for any of this, but in 2026 it has become the defining capability that separates security platforms that help teams work at the speed of the threat from those th

Unpatched vulnerabilities remain the single most common entry point for ransomware, data breaches, and cyber incidents across organisations of every size. The challenge is not usually awareness - most IT teams understand that patching matters - it is the operational complexity of keeping thousands of endpoints, servers, and third-party applications consistently patched across mixed OS environments, remote workforces, and increasingly stringent change management processes, wit

Managing thousands of endpoints manually is no longer a realistic option for IT teams. Devices accumulate. Policies drift. Patches fall behind. Security gaps open up faster than engineers can close them - particularly in the age of AI. For organisations running distributed workforces, hybrid infrastructure, or large device estates, the overhead of endpoint management done by hand has become a significant operational liability. Automated Endpoint Management (AEM) describes the

Endpoint management software gives IT teams centralised control and visibility over every device connected to their organisation's network. Desktops, laptops, mobile phones, tablets, servers, and increasingly operational technology assets such as industrial controllers and smart building systems are all endpoints - and in most organisations, managing them individually or through fragmented tools is no longer practical. Endpoint management software is the platform IT and opera

When an IT incident strikes, the speed and structure of your response depends almost entirely on the tooling and processes your team has in place. Yet many organisations are still managing incidents through ITSM ticketing systems not designed for real-time coordination, and communication channels that make post-incident learning almost impossible. In 2026, there is no shortage of better options. The challenge is knowing which type of platform you actually need. The incident m

Alert noise is one of the defining operational problems for IT teams in 2026. As environments have grown more complex, spanning on-premises infrastructure, multiple clouds, containerized workloads, and a sprawl of monitoring tools, the volume of events, alerts, and telemetry data has far outpaced what human operators can realistically manage. AIOps platforms exist to solve that problem: applying machine learning to surface what matters, suppress what does not, and increasingl

Every organisation running a vulnerability management programme knows the frustration: long lists of CVEs, inconsistent prioritisation, and a persistent gap between what scanning tools identify and what operations teams actually remediate. In 2026, the market is at an inflection point. Traditional scan-based approaches are being challenged by real-time architectures that deliver current device state in seconds, and AI-driven platforms are beginning to close the loop between d

The endpoint management market has changed significantly. What began as unified device management has evolved into a converged IT operations and security capability, where the best platforms now deliver real-time visibility, AI-driven automation, vulnerability management, and security operations integration alongside traditional patch and configuration management. The consequence for buyers is that the platform decision carries broader architectural implications than it once