AWS Bedrock API Keys: A New Attack Surface for Cloud Security

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Introduction

AWS recently introduced long-lived API keys for Amazon Bedrock, a move that has sparked debate among cybersecurity professionals. While these keys aim to simplify AI development, they also introduce new risks, including potential leaks and misuse. This article explores the security implications of Bedrock API keys and provides actionable guidance for securing them.

Learning Objectives

  • Understand the risks associated with long-lived AWS Bedrock API keys.
  • Learn how to detect and mitigate exposed API keys in your environment.
  • Implement best practices for securing AI-related cloud credentials.

You Should Know

1. Detecting Exposed AWS Bedrock API Keys

Command (AWS CLI):

aws bedrock list-api-keys --region us-west-2

Step-by-Step Guide:

  1. Run the command to list all Bedrock API keys in your AWS account.
  2. Review the output for any keys with excessive permissions or long expiration dates.
  3. Use AWS CloudTrail to monitor API key usage (LookupEvents API).

2. Rotating Compromised Bedrock API Keys

Command (AWS CLI):

aws bedrock delete-api-key --key-id EXAMPLEKEYID --region us-east-1
aws bedrock create-api-key --name "NewKey" --region us-east-1

Step-by-Step Guide:

1. Identify the compromised key using CloudTrail logs.

2. Delete the key using `delete-api-key`.

3. Generate a replacement key with stricter permissions.

3. Restricting Bedrock API Key Permissions

AWS IAM Policy Snippet:

{
"Version": "2012-10-17",
"Statement": [{
"Effect": "Allow",
"Action": "bedrock:InvokeModel",
"Resource": "arn:aws:bedrock:us-west-2:123456789012:model/ANTHROPIC.CLAUD"
}]
}

Step-by-Step Guide:

  1. Attach a least-privilege IAM policy to API keys.
  2. Limit key usage to specific Bedrock models or regions.
    1. Monitoring Bedrock API Key Usage with CloudTrail

AWS CLI Query:

aws cloudtrail lookup-events --lookup-attributes AttributeKey=EventName,AttributeValue=InvokeModel --region us-west-2

Step-by-Step Guide:

1. Use CloudTrail to track `InvokeModel` calls.

  1. Set up Amazon EventBridge alerts for anomalous activity.

5. Automating Key Rotation with AWS Lambda

Python Script Snippet:

import boto3
def rotate_keys(event, context):
bedrock = boto3.client('bedrock')
old_keys = bedrock.list_api_keys()['apiKeys']
for key in old_keys:
if key['age'] > 30:  Rotate keys older than 30 days
bedrock.delete_api_key(keyId=key['id'])
bedrock.create_api_key(name=f"Rotated-{key['name']}")

Step-by-Step Guide:

  1. Deploy this Lambda function with a 30-day CloudWatch trigger.

2. Ensure the execution role has `bedrock:` permissions.

What Undercode Say

  • Key Takeaway 1: AWS Bedrock API keys create a new attack surface similar to traditional access keys but with direct access to expensive AI resources.
  • Key Takeaway 2: Organizations must implement strict monitoring and rotation policies to prevent credential leaks from becoming costly breaches.

Analysis: While AWS promotes Bedrock API keys as a development accelerator, security teams should treat them as high-value targets. The keys’ long-lived nature and direct access to AI models make them attractive to attackers. AWS’s reliance on CloudTrail logging is insufficient—proactive key rotation and anomaly detection are critical. As AI integration grows, expect more attacks targeting these credentials, potentially leading to “LLM hijacking” where attackers abuse compromised keys for free model access.

Prediction

Within 12 months, we’ll see the first large-scale breach involving leaked Bedrock API keys, resulting in six-figure AWS bills for victims. Cloud providers will respond by introducing mandatory key rotation features, but the damage will already be done for early adopters who failed to secure their keys.

IT/Security Reporter URL:

Reported By: Nick Frichette – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅

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