The way we build and scale AI-powered applications is changing faster than anyone could have imagined. Over the last couple of years, we’ve seen dramatic shifts in how developers design experiences and solve challenges with large language models (LLMs). But as trends continue to evolve—often faster than we can adopt them—the big question becomes: How do you find an application platform that doesn’t just keep up but is truly future-proof?

Across various industries including the Department of Defense (DoD), federal service agencies, financial institutions, healthcare and other highly regulated organizations, the National Institute of Standards and Technologies (NIST) 800 53 security framework, is used to describe the security compliance. It is a standard catalog of security controls for protecting organizations’ operations, assets, and users from cyber threats. To be sure that is a broad definition that requires more nuance.

Enterprise GenAI prototypes are everywhere. GenAI in production are far fewer. Why? Management consultancies have different success numbers – we’ve heard 3% or 5% going to prod across tens of thousands of AI proof of concepts. For obvious reasons, it’s not a number LLM enthusiasts want to talk about. But we probably should.