AWS Landing Zone is a solution that fully automates the entire setup process by creating core accounts and resources required to monitor multiple accounts. Read on!
The AWS Control Tower enables seamless implementation of “AWS Control Tower guardrails,” which are automatic security and compliance measures. These guardrails promptly identify and correct any potential security issues, ensuring a secure and compliant AWS environment. Build Cloud-Based Solutions with ...
Although re:Invent is focussed around AWS and its ecosystem, many customers use multiple cloud platforms. Had we not volunteered the information that Aria Guardrails supports multiple clouds, it is likely that we would have been asked anyway! Most visitors to the VMware Cloud Management booths use...
Use AI Guardrails Add Custom Data to a Q in Connect Session Monitor Amazon Q in Connect Assign permissions Configure Language Support for Amazon Q in Connect Access Amazon Q in Connect in the agent application Cases Enable Cases Assign permissions Required permissions for custom IAM policies Create...
AWS landing zone security AWS landing zones provide self-service security guardrails through setting up accounts and resources. AWS landing zones are partly composed of a security account, which, by default, includes security-focused tools, such as an account baseline, security cross-account roles,Am...
Bedrock Guardrails Yes (text only) Yes (text only) Yes Bedrock Evaluations Yes (text only) Yes (text only) Yes Bedrock Prompt flows Yes Yes Yes Bedrock Studio Yes Yes Yes Bedrock Batch Inference Yes Yes Yes 1: Optimized for these 15 languages: English, German, Spanish, French, Italian, ...
What is cloud governance? Kubernetes on AWS: Self-Managed vs. Managed Applications Platforms What is an image builder? What is software supply chain security? Red Hat OpenShift vs. OKD Red Hat OpenShift vs. Kubernetes: What's the difference?
Configure AI guardrails for user input and foundation model output separately in Prompt Lab 15 August 2024 Adjust the sensitivity of the AI guardrails that find and remove harmful content when you experiment with foundation model prompts in Prompt Lab. You can set different filter sensitivity levels...
You can now use the information in fetch phase errors to determine why queries fail. When a problem, such as a connection error, occurs during the fetch phase, the query stops and the error is sent back to you. You can check the SQL state that is linked to the error to find out why...
If you're deploying to AWS and your team is well versed in AWS, there are CodeBuild, CodeDeploy. AzureDevOps has it's own system. If you're looking for something like Jenkins, Octopus, etc... it would still come down to your teams deployment needs and familiarity. The best o...