Automate security and observability with Elastic and Amazon Bedrock
AWS Partner Network Blog
This article describes how Elastic's AI-powered features, powered by Amazon Bedrock, automate security and observability workflows to accelerate threat detection and incident response.
- Elastic AI Assistant enables conversational investigation using natural language queries on security and observability data
- Elastic Workflows orchestrates multi-step automation across Elasticsearch, Kibana, and external systems like Slack and Jira
- Elastic Agent Builder creates custom AI agents grounded in your data for context-driven investigation and reasoning
- Attack Discovery automatically identifies and prioritizes coordinated threats across environments
- Automated workflows trigger AI agents on alerts for immediate triage without analyst intervention
- Root cause analysis correlates logs, metrics, and traces to identify performance bottlenecks in distributed services
- Organizations using this approach reduced mean time to respond by up to 99% and cut critical incidents by 95%
By combining Elastic's search expertise with Amazon Bedrock's foundation models, organizations can move from manual detection to automated resolution faster, enabling analysts to focus on strategic threat hunting.
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