Every company holds data that sets it apart — customer transactions, proprietary research, or threat intelligence. Yet this valuable information is often locked away because businesses fear exposing it to external AI models. Inputting sensitive data into AI services raises concerns about access, processing location, and compliance with GDPR and regulations. This creates a contradiction: heavy AI investment while the most valuable data sits unused.

The opportunity isn't making AI models smarter — it's putting existing business data to work. A bank with rich transaction histories could spot fraud more effectively. A pharmaceutical company could accelerate research by combining experimental data with powerful AI. But the more valuable the data, the harder it is to use securely.

Confidential computing addresses this by using hardware-backed protections to isolate data during processing. VAST Data is pioneering this approach with its Data Enclave technology, which brings AI models into confidential environments rather than moving sensitive data to AI providers. This allows companies to analyse critical information without exposing underlying records, opening new possibilities across finance, healthcare, defence, and cybersecurity.