Software is now prescribed alongside pills and therapy. However, most digital health products never make it that far. They stall at regulatory review, fail to prove clinical value, or get rejected by clinicians who cannot fit them into daily practice.

Healthcare systems are under constant pressure to stay available, connected, and secure. Yet attacks are becoming more frequent and harder to contain. Healthcare data breaches increased by about 20% in the first half of 2025 compared with the same period in 2024.

Hospitals run on data, yet most of that data lives in systems that don’t naturally integrate with one another. Clinicians jump between screens. Administrators reconcile reports by hand. Critical details hide in data silos.

Business leaders are racing toward agentic AI, and the scale of the opportunity explains the speed. Autonomous, goal-driven AI agents are projected to unlock $2.6–$4.4 trillion in annual value. Yet despite this surge in interest, only 1% of organizations say their AI adoption is mature.

The DevSecOps process flow is what shapes the way the whole organization works, contributing to continuous delivery. Over the past few years, our security engineers have rolled out secure SDLC and cloud controls across products of different sizes and industries.

Choosing the right EMR can feel like navigating a maze for healthcare providers. Hundreds of options. Confusing feature lists. Big promises that don’t always match real clinical needs.

Most organizations don’t discover the weaknesses in their incident response plan until the moment an incident occurs. And by then, it’s too late. In fact, many IR plans fail not because teams lack skill, but because the plan doesn’t reflect how people actually work during high-pressure events.

According to Amazon, security is a weak point in 76% of generative AI initiatives. That single statistic captures the reality most teams are now facing: AI adoption is accelerating faster than some security practices can keep up.

In 2026, interoperability is both a necessity and a persistent challenge. Health systems are trying to connect legacy EHRs, siloed databases, modern application programming interfaces, patient apps, and so on. However, many still struggle to make that data usable, consistent, or secure.

62% of clinicians say their current EHR workflows are “not intuitive", 70% of healthcare leaders believe their current EHR systems won't keep up with future demands, and 82% of them view API-based interoperability as a top priority.

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