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SecurityLeast Privilege ImpactClient: AI Enterprise Client

AWS Bedrock IAM Hardening

Designed and deployed role-based IAM policies with strict resource-level conditions, restricting model invocations to verified groups and tracking usage via CloudTrail.

Primary MetricSecured AI model usage with strictly enforceable boundaries
Reliability SLAEliminated unauthorized model invocation and cost overruns
Architecture StandardMulti-AZ & IaC

01The Architecture Challenge

Unrestricted developer access to high-cost generative AI models created cost exposure and security compliance risks.

Key Technical Pain Points Addressed:

  • High operational risk of service disruption during production cutover.
  • Over-provisioned compute resources driving unnecessary cloud expenditure.
  • Lack of declarative configuration management and GitOps workflows.

02The Implemented Engineering Solution

Designed and deployed role-based IAM policies with strict resource-level conditions, restricting model invocations to verified groups and tracking usage via CloudTrail.

Secured AI model usage with strictly enforceable boundaries
Eliminated unauthorized model invocation and cost overruns
Role-based group access aligned with company compliance
Full invocation logging and access auditing in place

03Applied Technologies & Toolchains

AWS BedrockAWS IAMPolicy DesignCloudTrailAccess Boundaries
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Client Organization:AI Enterprise Client
Domain / Industry:Security
Delivery Timeline:Production Verified

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