Systems | Development | Analytics | API | Testing

Healthcare is no longer compared to other hospitals. It’s compared to digital-first experiences across industries. Speed, transparency, and self-service are now baseline expectations. Recent insights from McKinsey & Company show that consumers are taking a far more active role in managing their health and expect easier, digitally enabled interactions across their care journey. At the same time, health systems are under pressure to modernize.

FTI audits are designed to ensure sensitive tax data is properly protected. But in modern enterprises, they’re about much more than passing inspections. Today, you need to manage FTI securely while still enabling fast, reliable access to data across DevOps, analytics, and increasingly, AI workflows. Treating FTI audits as part of a broader data strategy helps teams reduce risk without slowing innovation or creating bottlenecks.

Dynamic Data Masking (DDM) is a real-time solution to protect sensitive information when AI systems access enterprise data. It intercepts database queries and applies masking rules based on user roles, ensuring sensitive fields like Social Security numbers or credit card details are hidden without altering the original data. This approach prevents accidental exposure, ensures compliance with regulations like HIPAA and GDPR, and safeguards against attacks like prompt injection (successful 91% of the time).

The biggest risk to your product isn’t AI-generated code that doesn’t work. It’s generated code that seems fine. AI doesn’t optimize for correctness. It creates something passable. Something that passes the smell test. And when everybody in the industry is pushed to move faster and do more with less, you end up shipping software that looks correct. It passed your quick visual check. It passed all the tests. But no one ever fully understood it.

Running real integration tests for iOS projects is one of those problems that sounds straightforward until you're actually in it. The core tension: your backend runs on Linux, your iOS app can only build on Apple hardware. The two worlds don't meet naturally. Most teams end up mocking server responses in their mobile tests to isolate components without relying on backend services.