Sometimes, custom EMR projects can become expensive, slow, and difficult to adopt, even when the goal is clear from the start. Scope gaps and late security decisions often create bigger problems than missing features. But we know how to fix it.

Most enterprises run across two or more cloud providers. Each new service speeds up delivery, and it also adds another set of identities, configurations, and audit trails to manage. For security and risk leaders, that growth brings a hard question: How to prove our controls work at any moment, not only during an audit?

The average hospital works with dozens of external systems. Large health systems may manage hundreds of interfaces at once. Industry reports estimate that health IT teams spend up to 30-40% of their time maintaining existing integrations instead of delivering new capabilities. And interoperability gaps remain one of the top barriers to digital transformation.

In February 2025, researchers showed that data from 20,000+ GitHub repositories that were later made private could still be surfaced via Copilot. This impacted 16,000+ organizations. That incident is a clean example of the shadow AI problem: employees adopt powerful AI tools fast, but security teams often can’t see what’s being used in the browser or what data is flowing into it.

The question of how much technical testing is actually needed to pass an ISO 27001 audit is relevant for security leaders from different industries. The standard requires organizations to prove that their security controls work in practice, so ISO 27001 penetration testing is frequently discussed during implementation and audit preparation.

Many teams invest in compliance monitoring tools expecting clarity and control. They map frameworks, collect evidence, and track tasks. On paper, everything looks structured. Yet audits don’t evaluate how well your dashboard is configured. They assess whether controls actually work: consistently, over time, with clear ownership and traceable proof.

AI tools can now generate working software in minutes. A founder can describe an idea, press enter, and get a prototype the same day. The speed feels revolutionary, but many teams hit the same wall a few weeks later: the code works in a demo but breaks under real-world circumstances.

Healthcare mobile app development may seem complex, but it is inevitable. Regardless of the industry, users increasingly prefer mobile products, so the demand for scalable, convenient, and secure applications is growing rapidly.

“We’re not an IT department. We’re in the business of guest experiences.” That’s how many small and boutique hotel owners put it. They know outdated or clunky property management systems are holding them back in their hotel operations.

Seventy percent of companies are testing AI, yet fewer than one in three see real financial returns. Many teams start with excitement and end with a stalled pilot, unclear ROI, or a system that works in a demo but fails in production.

Get the inside scoop on industry news, product updates, and emerging trends, empowering you to make more informed decisions and stay ahead of the curve.