Update opaque.md

Author: tecwoo

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

@@ -23,15 +23,15 @@ You can learn more about Opaque in [our partner webinar here](https://vshow.on24
 
 ## 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. Leverage confidential computing to protect data while it is 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 that enterprises experience from deploying Opaque Workspaces are:
+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. Leverage 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 that 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 (Large Language Models). 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.
+Organizations need a privacy-preserving AI solution that bridges the gap between protecting privacy and realizing the full potential of LLMs (Large Language Models). To protect privacy throughout the stages of a generative AI lifecycle, strict 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.
 
 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.