Government and defense agencies face unique challenges when it comes to AI data access and data protection. Enable timely access to insights using the best AI algorithms without compromising sensitive information.
Stained Glass Transform can be used to analyze video and image data for security purposes while protecting the identities of individuals in the images.
Agencies look to share intelligence insights without exposing underlying data to each other in unprotected/human-understandable representations.
When training or using ML models for Detection and Response (MLDR), neither the training data nor the data used for predictions need to be exposed. Maximizing protection for your network data should be essential to your MLDR cybersecurity strategy.
Protopia AI partnered with NetApp and implemented Stained Glass Transform™ to demonstrate the breakthrough capability of being able to perform a task like real-time face recognition of VIPs without exposing unprotected images. This capability was showcased at the annual Trident Warrior exercise.
The solution transformed subjects’ faces into Randomized Re‑Representations that were only readable by the facial recognition model with near‑perfect accuracy to identify VIPs. The use case showcased Stained Glass’ ability to protect real-time AI deployment successfully.
Machine learning (ML) has emerged as a transformative technology across various industries, including the U.S. Navy.
Are you thinking about how to use Generative AI safely? In the age of data-centric AI, the significance of data access and security cannot be overstated.
A Guide for CISOs and AI Transformation Leaders. The advent of Large Language Models (LLMs), such as ChatGPT, Bard, and even open-source foundation models, has ushered in an era of unprecedented possibilities.
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