Amazon Bedrock Agents Launches for Enterprise AI Automation
AWS has launched Bedrock Agents, a fully managed service for building enterprise AI agents that can access company data, interact with business systems, and automate complex multi-step workflows with built-in security and governance.
Amazon Web Services has launched Bedrock Agents, a fully managed service that enables enterprises to build, deploy, and manage AI agents at scale. The service provides a no-code interface for creating agents that can reason over enterprise data, execute actions across business systems, and handle complex multi-step workflows.
Bedrock Agents integrates natively with over 200 AWS services and supports connections to popular enterprise tools including Salesforce, ServiceNow, SAP, and Slack. Agents can be configured to access specific data sources through Amazon Kendra or S3, with fine-grained IAM permissions controlling what each agent can see and do.
The service supports multiple foundation models including Claude, Llama, and Amazon's own Titan models, allowing enterprises to choose the best model for each task. A unique feature is automatic model routing, where the system selects the optimal model based on task complexity and cost constraints.
Security features include VPC isolation for agent execution, encryption of all data in transit and at rest, CloudTrail logging of every agent action, and integration with AWS Guardrails for content filtering. Enterprise customers can run agents entirely within their own AWS account, with no data leaving their environment.
Pricing is based on agent invocations and the underlying model costs, with no additional platform fee. AWS reports that over 1,000 enterprise customers participated in the preview program, with early adopters reporting 40-60% reductions in operational task completion time.
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