Organizations will be more exposed to Microsoft's EWS API phase-out than they realize.

Attackers use identities to get across networks. How can you secure those identity attack paths first?

The AI that promised to free enterprises from technical debt may be more of it.

How can enterprises avoid falling into the trap of perceiving AI roll-out as a failure due to a lack of initial organizational buy-in?

OpenClaw exposes new AI security risks—discover why Zero Trust is now mission-critical for organizations.

Quantum computing is approaching faster than expected. Discover why organizations must prepare now to avoid tomorrow’s cybersecurity crisis.

AI speeds up tasks, but fragmented systems still prevent genuinely productive work

As the RF industry shifts to GaN, advanced measurement becomes the ultimate tool for competitive advantage.

As AI moves into production, hiring shifts from prompt writers to engineers who build the surrounding context.

The industry is building AI capacity at unprecedented speed, and quietly treating the physical protection of these facilities as the most flexible line in the budget.

Don’t let vendor deadlines dictate infrastructure roadmaps.

Why independent AI review and governance are essential for secure, reliable software development.

Exploding telemetry volumes are creating hidden governance, financial, and operational risks across AI systems.

The risk, if left unaddressed introduces a significant shadow AI risk with consequences that far outweigh productivity gains

AI is shifting software quality from an engineering challenge to a leadership and governance priority.

What UK retailers can learn from their US counterparts when it comes to the adoption of AI in ecommerce.

It has become easy to consume an AI model but almost impossible to make one.

Exploring how power, cooling and grid constraints are reshaping AI data center development.

The real challenge facing organizations isn't whether to adopt AI, but whether their existing technology foundations can support it at scale.

Why top AI companies are bypassing external dashboards to treat evaluation as the product.

Perhaps the drive to adopt AI is exposing existing, disconnected processes as a deeper, more urgent problem.

the importance of security debt and how businesses should address it.

In 2026, the AI conversation has shifted from implementation to ROI. Here's why most companies fail to capitalize.

The race to deploy horizontal AI tools may be leaving real competitive advantage on the table.

As AI speeds development, organizations must rethink how they govern and manage infrastructure.

AI presents what it finds across your digital estate including out-of-date and inaccurate content.

As AI supercharges fraud with deepfakes and synthetic identities, continuous, layered defenses are now essential.

AI has enabled an 8,000% fraud surge, and a global networked response is our best bet to stop it.

For years, LLM providers have spent billions of dollars building and training increasingly powerful models.

The capability for AI agents to complete purchases has existed for some time. What has been missing is the infrastructure that enables businesses and consumers to trust those transactions.

The UK’s quantum procurement strategy could prove far more significant than the £2 billion investment itself.

The UK’s AI future depends on building the workforce behind its data centers.

Operators see a connectivity rival. Musk may see the infrastructure for everything.

Cracking down on shadow AI may be creating bigger security risks than it solves.

How local populations can influence the success of data center developments.