Update opaque.md

Author: tecwoo

articles/confidential-computing/partner-pages/opaque.md

@@ -6,7 +6,7 @@ author: ananyagarg
 ms.service: virtual-machines
 ms.subservice: confidential-computing
 ms.topic: conceptual
-ms.date: 03/29/2023
+ms.date: 07/03/2024
 ms.author: ananyagarg
 ---
 
@@ -15,13 +15,25 @@ ms.author: ananyagarg
 
 ## Overview
 
-Opaque makes confidential data useful by enabling secure analytics and machine learning on encrypted data. With Opaque Systems, you can analyze encrypted data in the cloud using popular tools like Apache Spark, while ensuring that your data is never exposed unencrypted to anybody else — not the cloud provider, not system administrators with root access, not even to Opaque! Analyze encrypted, structured data securely using Spark SQL. Run arbitrary SQL queries, complex analytics, and ETL pipelines on encrypted data loaded from multiple sources.
+Opaque is the confidential AI platform unlocking sensitive data to securely accelerate AI into production. Created by world-renowned researchers at the Berkeley RISELab, Opaque’s user-friendly platform empowers organizations to run cloud-scale, general purpose AI workloads on encrypted data. Opaque supports popular languages and frameworks for AI, including Python and Spark, and enables governed data sharing with cryptographic verification of privacy and sovereignty. Opaque customers deploy high-performance AI faster and eliminate the tradeoff between innovation and security.
+
+Opaque provides a suite of business applications in Opaque Workspaces and Opaque Gateway that plug into your existing data stack and extends existing infrastructure, enabling you to build a confidential data pipeline with a hardware root of trust.
 
 You can learn more about Opaque in [our partner webinar here](https://vshow.on24.com/vshow/Azure_Confidential/exhibits/Opaque).
 
-## Opaque analytics
+## Opaque Workspaces
+
+The solution provides a centralized data platform that eliminates the need for compliance-driven, time-consuming tasks like anonymization and manual access approvals so that teams can operationalize their data for AI and analytics in days, not weeks or months. Leverages confidential computing to protect data while it’s shared across teams and harnessed for AI, to ensure only expected participants can view the original data and results of the computation. The top 3 business outcomes enterprises experience from deploying Opaque Workspaces are:
+
+  Faster time to insights into confidential data
+  Risk mitigation by secure data processing in use
+  Reduced costs by optimizing data security/compliance
+
+## Opaque Gateway
+
+Organizations need a privacy-preserving AI solution that bridges the gap between protecting privacy and realizing the full potential of LLMs. To protect privacy throughout the stages of a generative AI lifecycle, strict data security techniques must be implemented to securely and efficiently perform all security-critical operations that directly touch a model and all confidential data used for training and inference.
 
-By combining encrypted data from several sources and training models on the joint dataset, you can generate insights that would otherwise be impossible. This product enables secure collaboration with partners, data providers, data processors, different business units, and 3rd parties. The data remains encrypted from your storage system all the way to the cloud platform’s CPU run-time memory. 
+Opaque Gateway serves as a privacy layer around your LLM of choice. With Opaque Gateway, you can securely and provably sanitize LLM prompts seamlessly to hide sensitive data from external parties and LLM providers. Opaque’s Confidential Computing technology ensures that no third party, not even Opaque Gateway, gets any visibility into the underlying prompt or data being sanitized.
 
 Get started today with the Azure Marketplace solution, [you can check it out here](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/opaquesystemsinc1638314744398.opaque_analytics_001?tab=Overview).