What is Amazon Bedrock and why use it for AI agents?

Amazon Bedrock is AWS's fully managed service for building AI applications with foundation models. It provides API access to Claude, Llama, Titan, and Mistral without managing GPU infrastructure. ibl.ai deploys your agents on Bedrock within your AWS VPC, configures Bedrock Guardrails, builds Knowledge Bases, and integrates with your existing systems. You get multi-model choice with AWS-native security.

Which foundation models are available on Bedrock?

Bedrock provides access to Anthropic Claude (complex reasoning), Meta Llama (cost-efficient tasks), Amazon Titan (embeddings and text generation), and Mistral (fast inference). You can select different models per agent or per task through a single API. ibl.ai helps you choose the right model for each use case based on quality, speed, and cost requirements.

How does Bedrock compare to self-hosting on GPU instances?

Bedrock is serverless—no GPU instances to provision, patch, or scale. You pay per token and scale to zero when idle. Self-hosting gives you more control but requires GPU infrastructure management. For most organizations, Bedrock reduces operational overhead significantly. If you need on-premises GPUs, consider our NemoClaw or OpenClaw services instead.

What are Bedrock Guardrails?

Bedrock Guardrails are AWS-native content safety controls. They filter harmful content, block denied topics, redact PII, and validate responses against your knowledge sources. Guardrails evaluate every input and output before reaching your users. ibl.ai configures guardrail policies specific to your compliance requirements—FERPA, HIPAA, SOC 2, or federal standards.

Does our data stay in our AWS account?

Yes. Bedrock runs within your AWS VPC with PrivateLink endpoints. Your prompts, completions, Knowledge Base content, and fine-tuning data stay in your account. Bedrock does not use your data to train foundation models. No data is shared with model providers. Encryption at rest uses your KMS keys.

Can we deploy Bedrock in AWS GovCloud?

Yes. Amazon Bedrock is available in AWS GovCloud with FedRAMP High authorization. ibl.ai configures Bedrock within your GovCloud VPC with the same model access, guardrails, and Knowledge Base capabilities. This is recommended for government agencies and organizations with federal compliance requirements.

Do we own everything after the engagement?

Yes. All Bedrock configurations, guardrail policies, Knowledge Base definitions, integration code, Infrastructure as Code, monitoring dashboards, and operational runbooks are delivered to your repositories. Your team operates independently after knowledge transfer. No ongoing dependency on ibl.ai.

Interested in an on-premise deployment or AI transformation? Calculate your AI costs. Call/text 📞 (571) 293-0242

Amazon Bedrock

AI agents powered by Amazon Bedrock—access Claude Opus 4.7, Llama 4 Maverick, Nova 2 Pro, and Mistral foundation models through a single AWS API with GovCloud deployment, PrivateLink, and Bedrock Guardrails for your agency. No need to choose build vs. buy — you get both.

Sector:

Your Code. Your Data.Full ownership, zero vendor lock-in

Any LLM, Your ChoiceAir-gapped or any cloud provider's

85% Lower CostSignificantly cheaper at scale

AI TransformationPre-existing and custom agents

Amazon Bedrock - Multi-Model AI Agents on AWS for Government

Deploy AI agents on Amazon Bedrock with access to Claude Opus 4.7, Llama 4 Maverick, Nova 2 Pro, and Mistral foundation models through a single AWS-native API. No infrastructure to manage—Bedrock handles model hosting, scaling, and security within your AWS GovCloud environment.

ibl.ai builds your AI agents on Bedrock's serverless infrastructure in GovCloud, configures Bedrock Guardrails for mission-appropriate safety, connects Knowledge Bases for RAG, and integrates with your agency systems. Your AWS account, your data, your models.

What This Is

Amazon Bedrock is AWS's fully managed service for building AI applications with foundation models. It provides API access to leading models—Anthropic Claude Opus 4.7, Meta Llama 4 Maverick, Nova 2 Pro, Mistral—without managing GPU infrastructure. You choose the best model for each mission and switch between them through a single API.

Bedrock Guardrails filter harmful content, block unauthorized topics, redact PII and CUI, and validate responses against your knowledge sources. Bedrock Knowledge Bases connect your agency documents to models for retrieval-augmented generation. Bedrock Agents orchestrate multi-step workflows.

ibl.ai deploys your AI agents on Bedrock within your AWS GovCloud VPC, configures guardrails specific to federal compliance requirements, builds Knowledge Bases from your agency content, and integrates agents with your mission systems. Everything runs in your AWS account.

Why Amazon Bedrock for Government

Foundation Model ChoiceAccess Claude Opus 4.7 for complex reasoning, Llama 4 Maverick for cost-efficient tasks, Nova 2 Pro for embeddings, and Mistral for fast inference—all through one API. Select the right model for each mission area without changing application code.

Serverless in GovCloudNo GPU instances to provision, patch, or scale. Bedrock manages infrastructure within FedRAMP High authorized GovCloud. You pay per token and handle demand spikes without capacity planning.

Bedrock GuardrailsConfigure content filters, denied topic policies, PII and CUI redaction, and grounding checks. Guardrails evaluate every interaction, blocking unauthorized content before it reaches users or agents.

Knowledge Bases for RAGConnect agency documents—policy manuals, training materials, regulations, SOPs—to Bedrock Knowledge Bases. Agents ground their responses in your authoritative sources rather than general training data.

AWS-Native SecurityBedrock runs within your GovCloud VPC with PrivateLink. Data never crosses the public internet. IAM policies and PIV/CAC integration control access. CloudTrail logs every API call for continuous monitoring.

Multi-Model Choice on Bedrock

Anthropic Claude Opus 4.7Claude Opus 4.7 excels at complex reasoning, policy analysis, and nuanced conversation. Use Claude Opus 4.7 for mission-critical analysis, regulatory interpretation, and interactions requiring careful judgment and accuracy.

Meta Llama 4 MaverickLlama 4 Maverick offers strong performance at lower cost for high-volume tasks. Use Llama 4 Maverick for employee FAQ bots, training content summarization, routine queries, and batch processing where cost efficiency matters.

Nova 2 ProNova 2 Pro provides embeddings for semantic search and Knowledge Bases plus text generation for structured tasks. Use Nova embeddings to power your RAG pipeline and Nova text for data extraction and reporting.

MistralMistral delivers fast inference for latency-sensitive applications. Use Mistral for real-time operational support, chat interfaces where speed matters, and lightweight classification tasks.

AWS GovCloud Ecosystem Integration

VPC & PrivateLinkBedrock endpoints live inside your GovCloud VPC via PrivateLink. Model invocations and guardrail evaluations never traverse the public internet. Mission data stays within your ATO boundary.

IAM & PIV/CAC FederationControl model access with IAM policies and PIV/CAC integration. Federate with your agency identity provider via SAML. Personnel get appropriate model access based on clearance and role.

CloudTrail & CloudWatchEvery Bedrock API call is logged in CloudTrail for continuous monitoring and ATO evidence. CloudWatch metrics track usage, latency, and guardrail triggers. Alarms for security events and anomalies.

S3 & Data SourcesKnowledge Bases ingest agency documents from S3 buckets with automatic chunking and embedding. Connect existing data stores—regulations, SOPs, training materials—without moving data outside GovCloud.

Security & Compliance

Data PrivacyBedrock does not use your data to train foundation models. Agency prompts, completions, and mission data stay in your GovCloud account. No data sharing with model providers. Encryption at rest with your KMS keys.

FedRAMP High AuthorizationAWS GovCloud is FedRAMP High authorized. Bedrock within GovCloud inherits this authorization level. Your AI workloads run in a compliance boundary designed for sensitive federal data.

NIST 800-53 AlignmentBedrock on GovCloud supports NIST 800-53 controls. Audit logging, access controls, encryption, and network isolation align with federal security requirements and support your ATO documentation.

Encryption & Key ManagementAll data encrypted in transit via TLS and at rest via AWS KMS in GovCloud. Use FIPS 140-2 validated modules. Customer-managed keys for Knowledge Bases, agent sessions, and all stored artifacts.

Deployment Options

AWS GovCloud (Recommended)Full Bedrock deployment in your GovCloud account. VPC endpoints, IAM policies, CloudTrail logging, and Knowledge Bases configured within your ATO boundary. FedRAMP High compliant.

Commercial AWS with GovCloud Data PlaneControl plane in commercial AWS, data processing in GovCloud for agencies that straddle both environments. All sensitive data stays in the GovCloud boundary.

Multi-Region GovCloudDeploy across GovCloud regions for redundancy and disaster recovery. Agent configurations and guardrail policies replicate consistently across all regions within your ATO boundary.

What You Own

Bedrock agent configurations, guardrail policies, and Knowledge Base definitions in your GovCloud account

IAM policies, PIV/CAC federation, and VPC configurations for secure model access with PrivateLink

Knowledge Base pipelines connecting your agency content to foundation models

Agency system integration code—workforce, training, case management connectors—with full source

CloudTrail audit configurations, continuous monitoring dashboards, and ATO documentation support

Infrastructure as Code (CDK/Terraform) for repeatable deployments across GovCloud environments

Guardrail policy definitions—content filters, denied topics, PII/CUI redaction, grounding checks

Operational runbooks covering model selection, cost management, guardrail updates, and incident response

Engagement Model

Assessment & Architecture (1-2 weeks):Evaluate your GovCloud environment, federal security requirements, and integration landscape. Select foundation models per mission area and define guardrail policies aligned with your ATO.

Configuration & Integration (3-6 weeks):Set up Bedrock in your GovCloud VPC with PrivateLink, configure guardrails, build Knowledge Bases from agency content, and integrate with mission systems. Deploy to staging within your ATO boundary.

Agent Development & Testing (2-4 weeks):Build your first set of Bedrock-powered agents—workforce trainers, program assistants, citizen-service aids. Test guardrails and validate Knowledge Base accuracy against authoritative sources.

Production Launch & Training (1-2 weeks):Controlled rollout with monitoring dashboards and continuous monitoring integration. Knowledge transfer to your team for ongoing Bedrock operations.

Get Started

Architecture Review:Free 30-minute session to assess your GovCloud environment, ATO requirements, and mission needs.

Proof of Concept:Deploy one Bedrock-powered agent with Knowledge Bases and agency integrations to validate the approach within your security boundary.

Agency-Wide Deployment:Full-scale Bedrock infrastructure with multi-model agents, comprehensive guardrails, Knowledge Bases, ATO support, and ongoing operations.