Enterprises spent $37 billion on AI in 2025, yet still can't independently prove those systems are safe. We look at the emerging field of AI assurance, and the infrastructure it still needs to earn real trust.

Every major sector is deploying AI into high-stakes decisions faster than the infrastructure that lets anyone trust it. We asked the leaders living that gap what it will take to close it.

AI raises governance questions unlike those posed by traditional software. Models are fundamentally dynamic and further change with updates and fine-tuning, and their outputs vary across prompts, contexts, and real-world conditions.

AI safety, governance, and policy leaders to Capitol Hill to explore how an assurance marketplace can support both innovation and public trust.