F5 Workforce AI Security

Walks through enabling AWS Bedrock models via console or CLI using Marketplace subscriptions. Covers prerequisites, IAM, propagation timing, and provider requirements.

Enable AWS Bedrock foundation models

Describes creating model connectors for Azure OpenAI, Google Gemini, and AWS Bedrock. Covers prerequisites (API keys, CloudFormation), creation, and group policy assignment.

Adding Private Model Connectors

Deploy private model infrastructure. Covers enabling private models (Azure OpenAI, Google Gemini, AWS Bedrock) and connecting them through the Gateway and Model Router for secure, governed private GenAI operations.

Private GenAI

Lists supported upload file types: PDF, Word, Excel, PowerPoint, plain text, Visio, CSV, and RTF. Contact support for additional format requirements.

File type support for uploads

Covers using the Private Portal: login, navigation (History, Shortcuts, New Task), file uploads, Copy/Edit/Regenerate, RAG citations, and prompt engineering guidance.

End user guide

End-user and admin guidance for the Private Portal. Covers login and authentication, portal navigation (History, Shortcuts, New Task), file uploads with RAG citation viewing, prompt-writing best practices, and supported upload formats (PDF, Microsoft Office, Visio, CSV, RTF). Useful for onboarding users and resolving portal access issues.

Private portal

Explains creating AWS Bedrock Knowledge Base data sources and assigning via Default or Group Policy. Covers connector prerequisites, creation, and access verification.

Defining and accessing Data Sources

Describes connecting AWS Knowledge Base to SharePoint via Azure Entra App Registration (Sites.Read.All) and Secrets Manager. Covers setup and SurePath AI data source integration.

Connecting an AWS Knowledge Base to Microsoft Sharepoint

Shows automating AWS Knowledge Base refreshes using Lambda with start_ingestion_job triggered by EventBridge schedule. Covers IAM policy and payload configuration.

Automatic refreshes for AWS Knowledge Bases

Describes connecting AWS Knowledge Base to Confluence using API tokens and Secrets Manager. Covers content filtering, embeddings (Cohere, Titan), and SurePath AI data source setup.

Connecting an AWS Knowledge Base to Confluence

Connect enterprise knowledge bases to the Private Portal for RAG-enabled interactions. Covers creating AWS Bedrock Knowledge Bases and connecting Confluence or SharePoint with API tokens, Azure Entra App Registration, and AWS Secrets Manager. Includes assigning data sources to user groups, configuring Lambda-based refreshes, and troubleshooting connectivity issues.

Data Sources

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Create your workspace and invite the people you work with.

Set up your account

Build your first workflow and watch it run end to end.

Ship something

Connect the tools your team already uses to bring data in.

Connect your stack

A quick lap of the product so you know where everything lives.

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Because you already asked about invitations, this prototype demo can add the follow-up: use the role selector before sending each invite to limit access to the teammate responsibilities.

Prototype role-limiting follow-up

This prototype demo suggests starting with your workspace profile, inviting the team members who need access, and then connecting the integrations you use.

Prototype getting-started answer

In this prototype demo, integrations are configured from workspace settings. Choose the integration, connect the account, and review the enabled permissions.

Prototype integrations answer

In this prototype demo, invite teammates from workspace settings, then choose the access each teammate needs before sending the invitation.

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