Amazon Bedrock | Amazon SageMaker
LangGuard AI Control Plane
for Amazon Web Services
Gain visibility into AI agents, tools and models running on AWS Bedrock and SageMaker. Stop shadow AI, bring external MCPs under policy, and unify IT run-time governance across your AWS environment.
Accelerate AI Agent Deployments on AWS
A unified control plane for provisioning, monitoring, and auditing AI agents across Amazon Bedrock and SageMaker.
Discovery
Auto-discover AI agents, foundation models on Bedrock, and ML models deployed on SageMaker endpoints.
Provisioning
AI-native, policy-based approval and management integrated with AWS IAM and resource policies.
Monitoring
Real-time activity tracking, behavioral analytics, and governance across Bedrock and SageMaker workloads.
Audit
Full retention and playback integrated with AWS CloudTrail for compliance and security.
Native AWS Integration
LangGuard integrates seamlessly with Amazon Bedrock for foundation models and Amazon SageMaker for custom ML deployments, providing unified AI governance across your AWS environment.
Your VPC, Your Data
Optionally deploy within your AWS VPC with data staying under your control
Unified IAM Governance
Extend AWS IAM policies to all AI agents in the enterprise, whether running on Bedrock, SageMaker, or external platforms.
Rapid Deployment
Deploy via SaaS, or privately via Terraform
Supported AWS AI Services
Amazon Bedrock
- Foundation models from Anthropic, Amazon, AI21, Cohere, Meta, and more
- Bedrock Agents and Knowledge Bases
- Custom model fine-tuning and continued pre-training
- Guardrails for responsible AI deployment
Amazon SageMaker
- Real-time and batch inference endpoints
- SageMaker JumpStart foundation models
- Custom trained and fine-tuned models
- Multi-model and serverless endpoints
Common Enterprise AI Agent Adoption Patterns
How enterprises operationalize AI agents with LangGuard and AWS.
Cloud-Native AI Adoption
Accelerate generative AI adoption with Bedrock foundation models while maintaining enterprise-grade governance and compliance controls.
Multi-Model Strategy
Govern agents using multiple models across Bedrock and SageMaker, with unified policies for external MCPs and AI tools regardless of where they run.
Secure Agent Orchestration
Safely deploy Bedrock Agents and SageMaker pipelines with external tool integrations, maintaining security controls across complex AI workflows.
Join Cloud & AI leaders who trust LangGuard
Manage your Enterprise AI agents across AWS Bedrock and SageMaker with confidence.
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