Curriculum Overview: Management and Rotation of Credentials and Secrets

This curriculum is designed for security professionals and cloud architects aiming to master the lifecycle of sensitive information within the AWS ecosystem. It focuses on the transition from static, long-lived credentials to dynamic, automatically rotated secrets, aligning with the AWS Certified Security - Specialty (SCS-C03) requirements.

Prerequisites

Before starting this curriculum, learners should possess the following foundational knowledge and access:

• Identity and Access Management (IAM): Understanding of users, roles, and JSON-based policy structure (Effect, Action, Resource, Condition).
• Encryption Basics: Familiarity with symmetric encryption and the role of the AWS Key Management Service (KMS).
• Compute Basics: Basic understanding of AWS Lambda (for rotation logic) and Amazon EC2/RDS connectivity.
• Security Mindset: Knowledge of the Principle of Least Privilege and the risks associated with hard-coded credentials.

Module Breakdown

Learning Objectives per Module

Module 1: Foundations of Secret Storage

• Define "secrets" in a cloud context (API keys, DB passwords, OAuth tokens).
• Identify the risks of credential exposure in source code and public repositories.
• Use tools like git-secrets to scan and prevent secret leakage.

Module 2: Secrets Manager vs. SSM Parameter Store

• Distinguish between the use cases for AWS Secrets Manager and Systems Manager Parameter Store.
• Understand the cost-benefit analysis of each service.

Module 3: Access Control & Resource Policies

• Design identity-based policies for application access to secrets.
• Implement resource-based policies to facilitate cross-account secret retrieval.
• Integrate KMS Customer Managed Keys (CMKs) for enhanced encryption control.

Module 4: Automating Lifecycle & Rotation

• Configure managed rotation for supported services (RDS, Aurora, Redshift).
• Develop custom Lambda functions to rotate third-party API keys or non-native databases.
• Manage the "Rotation Window" and understand the immediate rotation behavior upon configuration.

Module 5: Governance, Auditing & CI/CD Integration

• Monitor secret usage and rotation events using AWS CloudTrail.
• Implement multi-region secret replication for disaster recovery.
• Enforce credential rotation policies (e.g., IAM access key rotation every 90 days).

Success Metrics

To demonstrate mastery of this curriculum, the learner must be able to:

1. Deployment: Successfully deploy an AWS CloudFormation template that provisions a secret and its associated IAM role without manual intervention.
2. Implementation: Refactor a sample application to move from hard-coded configuration files to programmatic secret retrieval via the AWS SDK.
3. Automation: Configure a rotation schedule that successfully triggers a Lambda function and updates both the secret value and the target database password without downtime.
4. Security Audit: Pass a mock audit by identifying overly permissive secret policies using IAM Access Analyzer.

Real-World Application

Eliminating "Secret Sprawl"

In modern DevSecOps, hard-coded credentials are a primary vector for data breaches. By implementing AWS Secrets Manager, organizations can centralize management, making it impossible for a developer to accidentally push a production database password to a GitHub repository.

Compliance and Regulatory Alignment

Many regulatory frameworks (PCI-DSS, SOC2, HIPAA) require periodic rotation of administrative passwords. Automating this process with Lambda removes the human-error element and provides a verifiable audit trail for compliance officers.

Dynamic Infrastructure

In auto-scaled environments, instances are ephemeral. Using Secrets Manager allows new instances to "bootstrap" themselves by fetching the latest credentials securely at runtime, rather than baking sensitive data into static AMIs.

[!IMPORTANT] Before enabling rotation in production, ensure your application code is updated to fetch the secret on every request (or use a caching client). Failure to do so will result in the application using stale credentials immediately after the rotation occurs.

Architecture Visualization

\begin{tikzpicture}[node distance=2cm, every node/.style={fill=white, font=\small}, box/.style={draw, rectangle, minimum width=2.5cm, minimum height=1cm, align=center}]

% Nodes \node (App) [box] {Application \ (EC2/Lambda)}; \node (SM) [box, right=of App] {AWS Secrets \ Manager}; \node (KMS) [box, above=of SM] {AWS KMS \ (Encryption)}; \node (Lambda) [box, below=of SM] {Rotation \ Lambda}; \node (DB) [box, right=of Lambda] {Target DB \ (RDS/Aurora)};

% Connections \draw [->, thick] (App) -- node[above] {1. API Call} (SM); \draw [<->, dashed] (SM) -- node[right] {2. Decrypt} (KMS); \draw [->, thick] (SM) -- node[left] {3. Trigger} (Lambda); \draw [->, thick] (Lambda) -- node[below] {4. Update Pwd} (DB); \draw [->, thick] (Lambda) -- node[right] {5. Update Secret} (SM);

\end{tikzpicture}

Figure 1: High-level workflow of the secret retrieval and automated rotation process.