List of Amazon Secrets Manager Customers
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Since 2010, our global team of researchers has been studying Amazon Secrets Manager customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Amazon Secrets Manager for Identity and Access Management (IAM) from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Amazon Secrets Manager for Identity and Access Management (IAM) include: Capital One, a United States based Banking and Financial Services organisation with 76300 employees and revenues of $39.11 billion, Fannie Mae, a United States based Banking and Financial Services organisation with 7000 employees and revenues of $30.85 billion, Swiggy, a India based Professional Services organisation with 6000 employees and revenues of $1.36 billion and many others.
Contact us if you need a completed and verified list of companies using Amazon Secrets Manager, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Amazon Secrets Manager customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Capital One | Banking and Financial Services | 76300 | $39.1B | United States | Amazon Web Services (AWS) | Amazon Secrets Manager | Identity and Access Management (IAM) | 2019 | n/a |
In 2019, Capital One deployed Amazon Secrets Manager as a centralized Secrets Management solution across its AWS estate in the United States. The deployment targeted IT, security, and platform teams to manage credentials and satisfy compliance requirements, enabling management of millions of secrets across thousands of accounts.
Amazon Secrets Manager was implemented with a focus on secret lifecycle management, including automated rotation, access control, and auditing workflows. The implementation configured Amazon Secrets Manager as a centralized control plane for secret creation, versioning, secure storage, and lifecycle policies, reflecting standard Secrets Management capabilities.
Architecture and operational coverage extended across Capital One's AWS accounts, with centralized policy enforcement and cross-account administrative controls to govern secret access and distribution. Operational scope was centered on platform and security functions, supporting credential provisioning, access governance, and audit trail generation across the bank's cloud environment.
Governance emphasis was placed on formalizing secret lifecycle processes, access governance, and auditability to meet regulatory and internal compliance needs. Implementation details are described on the vendor customer page and the 2019 adoption timing aligns with public timelines.
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Fannie Mae | Banking and Financial Services | 7000 | $30.9B | United States | Amazon Web Services (AWS) | Amazon Secrets Manager | Identity and Access Management (IAM) | 2022 | n/a |
In 2022, Fannie Mae deployed Amazon Secrets Manager on Amazon Web Services to secure API keys, service account credentials, database credentials, and third party credentials in support of strict United States security and compliance requirements. Apps Category:
The implementation leverages Amazon Secrets Manager capabilities for rotation and Secrets Manager replication to deliver resiliency and automated lifecycle management, including automated rotation and version tracking for credentials and centralized encrypted secret storage. Configuration emphasized centralized secret stores, encrypted secret values, and fine grained identity and access controls to ensure controlled runtime retrieval by applications and services.
Operational scope centered on enterprise security and IT functions, covering platform engineering, application teams, and database administration to centralize credential provisioning and reduce manual secrets handling across application stacks. Replication was applied to build regional resiliency for secrets stores, and rotation policies were enforced for API keys, service accounts, database credentials, and third party credentials to standardize lifecycle management.
Governance incorporated centralized policy for secret creation, rotation schedules, and audit logging to support compliance reporting in the United States, aligning Amazon Secrets Manager usage with Fannie Mae security controls. The Amazon Secrets Manager deployment is positioned as the enterprise secrets management layer for application, database, and third party credential handling, delivering replicated secret stores and automated rotation for operational consistency and resiliency.
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Swiggy | Professional Services | 6000 | $1.4B | India | Amazon Web Services (AWS) | Amazon Secrets Manager | Identity and Access Management (IAM) | 2021 | n/a |
In 2021, Swiggy implemented Amazon Secrets Manager, Apps Category , to reduce secret sprawl and automate rotation without new code deployments for its on demand delivery platform in India. The deployment focused on platform engineering security use cases, managing API keys and service credentials used by microservices and backend systems across the platform.
The implementation centralized secret lifecycle management within the AWS control plane using Amazon Secrets Manager for automated secret rotation, secret versioning, and centralized access controls. Configuration emphasized rotation automation without application code changes, standardized secret storage patterns, and programmatic retrieval to enable scaled secret management.
As the vendor is Amazon Web Services, the solution operated inside Swiggy's AWS environment and was adopted by developer and platform engineering teams. Governance was structured around centralized secret ownership, rotation schedules, and engineering workflows that removed manual rotation processes and reduced secret sprawl.
The stated outcomes include improved operational reliability and scaled secret management as noted on the AWS customer page, with reduced manual handling of credentials and automated rotation policies. No cost or quantified savings were provided.
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