Protopia AI is at RSAC. Meet our team of experts in AI Data Privacy and Security.

Data privacy that scales
with your AI infrastructure

Unlock your most valuable data for AI while retaining data ownership and privacy. Speak with our team to learn how.

Fast 14,000x faster
than cryptographic techniques

Efficient Near-zero
latency impact

Cost-Effective Expanded compute access from edge to cloud

Talk to a Technical Expert

Take the first step

Protect your data while unlocking its full potential for AI. Learn how Protopia Stained Glass empowers enterprises and AI providers to safeguard sensitive information and accelerate AI adoption.

For Enterprise AI Teams

Protopia’s Stained Glass Transform protects sensitive data across the full AI inference lifecycle. Data remains secure from input to output, even in multi-tenant environments. Only the client can view prompts and responses in plaintext, preserving data ownership without performance tradeoffs.

For AI Infrastructure Providers

Protopia’s Stained Glass integrates seamlessly into inference endpoints, AI pipelines, and LLM applications without modifying underlying models. Compatible with hyperscalers, cloud service providers (CSPs), and IaaS platforms, it enables secure AI adoption for end-users without compromising model accuracy or scalability.

Latest on the blog

Announcement

Zero Trust AI Factory Architecture

Zero-Trust AI Factories Unlock Sensitive AI Anywhere with Protopia AI Stained Glass Transform and NVIDIA Confidential Containers

NVIDIA Confidential Computing, combined with Protopia AI’s Stained Glass Transform, helps organizations protect sensitive inference data and model IP, enabling more secure AI deployment across multi-tenant infrastructure.

Partner

SGT Supports WWT ARMOR Framework

Breaking Data Silos: How Private Inference Unlocks GPU ROI on Sensitive Data

Private inference architecture, powered by Protopia AI’s Stained Glass, directly strengthens multiple ARMOR domains.

Blog

McKinsey & Mythos reveal new AI threats

McKinsey Lilli hack & Anthropic Mythos reveal new AI cybersecurity threats

The application-layer breach has known fixes, and McKinsey has applied them. The inference pipeline is the second layer, and it is the one Mythos should reframe.