Whether you deploy ML solutions internally or for your customers, maximizing data protection for predictions is key.
Business decisions are made on AI inferences, and only real data can be used at this stage of the AI lifecycle. Stained Glass protects your data used at deployment.
Protect your ML throughout its lifecycle
Tap into the value of more data for ML Insights
Safely use data with AI partners confidently
Solve for data confidentiality in the ML deployment stage for any data type.
Natural Language Processing (NLP) tasks can consume data that contains sensitive information, such as confidential email communications. Protopia AI’s Randomized Re-Representations, shown on the right, enable NLP tasks to identify spam, but also scan all communications to protect confidential information.
A model scanning tabular data in raw form exposes sensitive information such as Personal Identifiable Information (PII). Stained Glass enables models to read a completely transformed and randomized piece of data while retaining the same level of predictive accuracy. The reconstructed information of text and numbers does not match the data depicted on the left.
Most AI facial recognition models see fully exposed images, which may contain sensitive information. With Stained Glass Transform™, the model sees a completely Randomized Re-Representation on the right while performing accurate inferencing with minimal information
Financial services technology company Q2 wanted to maximize data protection for their new fraud detection product. Market research suggested they would increase the product’s desirability if it could operate without receiving raw check images.
Q2 turned to Protopia AI’s Stained Glass Transform™, which allowed their computer vision models to scan check images accurately without clients having to share raw check image data.
This enabled Q2 to obtain only what they needed from their client check images to expand access to their fraud detection product and drive customer growth.
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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