I started using IAM Health Cloud at the beginning of this year. I integrate it with Control Tower and landing zone setup for customers who want to migrate their workload onto AWS. From a security standpoint, that is where I use it. IAM Health Cloud integrates properly with other services like GuardDuty, AWS Security Hub, Config, and CloudTrail. My main use case for IAM Health Cloud is automating continuous identity access and auditing across multi-account enterprise landing zones during large-scale AWS migrations. As an AWS advanced tier partner company, we build cloud foundations using Control Tower, AWS Identity Center, and Terraform. While native tools like Security Hub and Config flag high-level compliance gaps, I use IAM Health Cloud specifically to solve the complex challenge of privilege creeping and dormant permissions. It allows me to continuously map across account role assumption paths and audit execution roles of microservices running on ECS, Lambda, and EC2. Crucially, it helps my clients maintain a state of least privilege and accelerate SOC and CIS compliance by pushing actionable IAM risk metrics directly into centralized Amazon CloudWatch dashboards. A recent project I handled for a client, a health tech startup in Nigeria, involved helping them migrate their workload from GCP or Azure onto AWS. I helped them migrate their backend, front end, and database from that cloud provider onto AWS. One of the challenges I faced had to do with an over-scoped infrastructure as code in Terraform. IAM Health Cloud made a significant difference when I deployed it across the AWS organizations. Within hours, I had a graph-based visualization engine that mapped the entire identity landscape and flagged three critical vulnerabilities: dormant admin pipelines, exposed microservices, and cross-account trust drift.
Senior Cloud Solutions Architect at a tech vendor with 10,001+ employees
Real User
Top 5
Dec 2, 2025
My main use case for IAM Health Cloud is managing identity and access management of the company in my day-to-day activities. One specific example of how I use IAM Health Cloud to manage identity and access is by following the principle of least privileged access. One of the data and analytics team members needed data modeling access. They use SageMaker and an S3 bucket. So I created a custom role in IAM Identity Center because we use IAM SSO, single sign-on, and we manage 45 AWS accounts. I go to the master account and I create a custom role for this specific data and analytics user to have SageMaker, Bedrock, and S3 access. That's all I have to add about my main use case or any other ways my team relies on IAM Health Cloud.
Find out what your peers are saying about IAM Health Cloud, Fabrix Security, Horangi Cyber Security and others in Identity and Access Management as a Service (IDaaS) (IAMaaS). Updated: July 2026.
IDaaS offers streamlined management of user identities and access policies, providing secure authentication and authorization processes for businesses looking to enhance their security framework in a scalable way.IDaaS provides a centralized approach to managing identities across various platforms, reducing the complexity typically associated with traditional identity management systems. By leveraging cloud infrastructure, organizations gain enhanced security, flexibility, and the ability to...
I started using IAM Health Cloud at the beginning of this year. I integrate it with Control Tower and landing zone setup for customers who want to migrate their workload onto AWS. From a security standpoint, that is where I use it. IAM Health Cloud integrates properly with other services like GuardDuty, AWS Security Hub, Config, and CloudTrail. My main use case for IAM Health Cloud is automating continuous identity access and auditing across multi-account enterprise landing zones during large-scale AWS migrations. As an AWS advanced tier partner company, we build cloud foundations using Control Tower, AWS Identity Center, and Terraform. While native tools like Security Hub and Config flag high-level compliance gaps, I use IAM Health Cloud specifically to solve the complex challenge of privilege creeping and dormant permissions. It allows me to continuously map across account role assumption paths and audit execution roles of microservices running on ECS, Lambda, and EC2. Crucially, it helps my clients maintain a state of least privilege and accelerate SOC and CIS compliance by pushing actionable IAM risk metrics directly into centralized Amazon CloudWatch dashboards. A recent project I handled for a client, a health tech startup in Nigeria, involved helping them migrate their workload from GCP or Azure onto AWS. I helped them migrate their backend, front end, and database from that cloud provider onto AWS. One of the challenges I faced had to do with an over-scoped infrastructure as code in Terraform. IAM Health Cloud made a significant difference when I deployed it across the AWS organizations. Within hours, I had a graph-based visualization engine that mapped the entire identity landscape and flagged three critical vulnerabilities: dormant admin pipelines, exposed microservices, and cross-account trust drift.
My main use case for IAM Health Cloud is managing identity and access management of the company in my day-to-day activities. One specific example of how I use IAM Health Cloud to manage identity and access is by following the principle of least privileged access. One of the data and analytics team members needed data modeling access. They use SageMaker and an S3 bucket. So I created a custom role in IAM Identity Center because we use IAM SSO, single sign-on, and we manage 45 AWS accounts. I go to the master account and I create a custom role for this specific data and analytics user to have SageMaker, Bedrock, and S3 access. That's all I have to add about my main use case or any other ways my team relies on IAM Health Cloud.