Description

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI. Using Amazon Bedrock, you can easily experiment with and evaluate top FMs for your use case, privately customize them with your data using techniques such as fine-tuning and Retrieval Augmented Generation (RAG), and build agents that execute tasks using your enterprise systems and data sources.

Architecture

Bedrock invocation logs are our focus here to enable powerful LLM detection rules. These logs can be ingested via S3 and Cloudwatch. S3 will be our focus initially.

Integration release checklist

This checklist is intended for integrations maintainers to ensure consistency when creating or updating a Package, Module or Dataset for an Integration.

All changes

[x] Change follows the contributing guidelines
[x] Supported versions of the monitoring target are documented
[ ] Supported operating systems are documented (if applicable)
[x] Integration or System tests exist
[x] Documentation exists
[x] Fields follow ECS and naming conventions
[x] At least a manual test with ES / Kibana / Agent has been performed.
[x] Required Kibana version set to:

New Package

[x] Screenshot of the "Add Integration" page on Fleet added

Dashboards changes

[ ] Dashboards exists
[ ] Screenshots added or updated
[ ] Datastream filters added to visualizations

Log dataset changes

[x] Pipeline tests exist (if applicable)
[x] Generated output for at least 1 log file exists
[x] Sample event (sample_event.json) exists

elastic / integrations

[New Integration] Amazon Bedrock #9772