The path to zero trust: Bridging the gap between AI development and OpSec

Artificial intelligence (AI) workloads are transforming industries from financial services to healthcare. However, the use of AI models introduces risk around protecting models, weights, and data from malicious actors. While the industry has established robust traditional security frameworks to protect data at rest (with disk encryption, such as LUKS) and data in transit (with encrypted communication channels like TLS), a gap remains around data that’s in use.When sensitive data, such as patient medical records or proprietary AI model weights are actively loaded into the CPU, GPU, and memory f