What are the security tradeoffs of using OpenAI Custom GPTs versus building a dedicated retrieval-augmented generation app on AWS Bedrock?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the security tradeoffs of using OpenAI Custom GPTs versus building a dedicated retrieval-augmented generation app on AWS Bedrock?
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 2 queries…
Searches and sources
ChatGPT2 real searches · gpt-6
OpenAI GPTs data privacy security enterprise controls knowledge files actions official documentation Google ↗
AWS Bedrock security best practices data protection VPC endpoints IAM guardrails knowledge bases official documentation Google ↗
- Security and privacy at OpenAI · openai.com
- Chat and file retention in ChatGPT · help.openai.com
- Configuring actions in GPTs · help.openai.com
- Secure Gen AI Apps - Amazon Bedrock Security and Privacy · aws.amazon.com
- Integrating a traditional cloud workload with Amazon Bedrock · docs.aws.amazon.com
- Security, privacy, and responsible AI – Amazon Bedrock · aws.amazon.com
- Implementing least privilege access for Amazon Bedrock · aws.amazon.com
- Data controls in the OpenAI platform · developers.openai.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
OpenAI GPTs data privacy security enterprise controls knowledge files actions official documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
AWS Bedrock security best practices data protection VPC endpoints IAM guardrails knowledge bases official documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |