高度なIAMポリシーと権限

Welcome! In earlier lessons, you learned about creating basic IAM roles for your Lambda functions. These roles grant your functions permissions to interact with other AWS services.

But what if you need more precise control? This lesson dives into advanced IAM policies to enforce the principle of least privilege, ensuring your functions have *only* the permissions they absolutely need.

The Principle of Least Privilege (PoLP) is a core security concept. It means giving an entity (like a Lambda function) only the permissions required to perform its intended task, and nothing more.

• Why it matters: Reduces the impact of security breaches.
• How it helps: Limits what an attacker can do if they compromise your function.
• Our Goal: Move from broad permissions to highly specific ones.

Instead of granting access to *all* resources of a certain type (e.g., all S3 buckets), you can specify exactly which resources a function can access. This is called resource-level permissions.

You achieve this by using an Amazon Resource Name (ARN) in the policy's Resource element.

Here's a policy snippet that grants a Lambda function permission to only read objects from a specific S3 bucket named my-app-data-bucket, and no other buckets.

To add even more granularity, IAM policies support conditions. Conditions specify *when* a policy statement is in effect.

You can use conditions to check things like: the time of day, the IP address of the caller, specific tags on resources, or even parts of an S3 object key.

AWS provides many condition keys you can use. Some common ones include:

• aws:SourceIp: Restrict access based on the source IP address.
• aws:PrincipalTag: Grant permissions if the caller has a specific tag.
• s3:prefix: Restrict S3 actions to objects with a certain key prefix.
• StringEquals, NumericLessThan, etc.: Operators for comparing values.

This policy allows an action only if the request originates from a specific IP address range. This is useful for administrative access or internal tools.

Note: Lambda functions usually don't have a static source IP unless they are within a VPC with a NAT Gateway.

Here, a Lambda function can only write objects to a specific folder (prefix) within an S3 bucket. This ensures it doesn't accidentally overwrite critical data in other parts of the bucket.

When crafting advanced IAM policies:

• Start with Deny: It's often safer to deny all by default and explicitly allow what's needed.
• Test Thoroughly: Misconfigured policies can break applications or create security holes.
• Review Regularly: As your application evolves, so should your policies.
• Use Managed Policies (where appropriate): For common AWS service interactions, AWS managed policies are a good starting point before customizing.

Consider a Lambda function that processes new images uploaded to an S3 bucket named my-image-gallery. It needs to read images from the raw/ prefix and write processed images to the processed/ prefix.

Which IAM policy statement correctly applies the principle of least privilege for this function?

In this lesson, we explored how to go beyond basic IAM roles to craft highly granular policies for your Lambda functions.

• We focused on the Principle of Least Privilege.
• You learned about resource-level permissions using ARNs.
• We covered how to use conditions (like aws:SourceIp and s3:prefix) to refine policy effects.

By applying these techniques, you can significantly enhance the security posture of your serverless applications.