Comprehensive AWS Security and Compliance Evaluation Workflow (SOC2 Super Runbook)

The workflow involves identifying Amazon S3 buckets that permit public read access. This is achieved by assessing the Block Public Access settings, bucket policies, and Access Control Lists (ACLs). Each bucket is then flagged as either NON_COMPLIANT or COMPLIANT based on the evaluation. The process ensures that only authorized access is allowed, enhancing the security of the stored data. This compliance check is crucial for maintaining data privacy and adhering to security best practices.

The workflow involves identifying Amazon S3 buckets that either do not have default encryption enabled or lack a policy explicitly denying unencrypted put-object requests. These buckets are then flagged as NON_COMPLIANT. This process ensures that all S3 buckets adhere to security best practices by enforcing encryption standards. By flagging non-compliant buckets, the workflow helps maintain data security and compliance within the cloud environment. This proactive approach aids in mitigating potential data breaches and unauthorized access.

The workflow involves checking AWS S3 buckets to determine if Server Access Logging is enabled. The results are organized by region, highlighting the number of buckets lacking this feature. This process helps in identifying potential security and compliance gaps. By tabulating the data, it provides a clear overview of the current logging status across different regions. The outcome aids in prioritizing actions to enable logging where necessary.

The workflow involves identifying AWS S3 buckets that do not have public write access restrictions in place. This process includes listing each bucket along with its respective region. The goal is to ensure that all S3 buckets are secure and not vulnerable to unauthorized public write access. By auditing these settings, the workflow helps maintain data integrity and security within the AWS environment.

The workflow involves listing AWS IAM users who have console passwords and checking if they have Multi-Factor Authentication (MFA) enabled. Users are then categorized based on whether MFA is enabled or not. The categorization helps in identifying users who are compliant with the security rule of having MFA enabled. This process ensures that all users with console access are adhering to security best practices. The outcome is a clear understanding of the current compliance status regarding MFA among IAM users.

This workflow involves verifying the compliance of an AWS account by checking for the existence of access keys associated with the root user. The process ensures that security best practices are followed by identifying any potential security risks related to root user access keys. By conducting this check, the workflow aims to enhance the overall security posture of the AWS account. It helps in maintaining compliance with organizational policies and industry standards. The outcome of this workflow is a report or alert indicating whether the AWS account is compliant or requires further action.

The workflow involves evaluating all AWS IAM users to identify any with passwords or active access keys that have not been used within a specified number of days, defaulting to 90 days. If any user credentials are found to be inactive beyond this threshold, they are marked as NON_COMPLIANT. The results of this evaluation are then tabulated for further analysis. This process ensures that only active and necessary credentials are maintained, enhancing security by identifying and addressing potential vulnerabilities.

This workflow involves assessing all active AWS IAM access keys to ensure they have been rotated within a specified period, typically 90 days. The process identifies any keys that have not been rotated within this timeframe and flags them as NON_COMPLIANT. The results of this evaluation are then tabulated for further analysis. This helps maintain security by ensuring that access keys are regularly updated to prevent unauthorized access.

The workflow involves a comprehensive evaluation of all AWS Identity and Access Management (IAM) users. The primary objective is to identify any users who have policies directly attached to them. This process helps in ensuring that access management is streamlined and adheres to best practices by potentially moving towards role-based access control. Identifying directly attached policies is crucial for maintaining security and compliance within the AWS environment. The outcome of this assessment can guide further actions to optimize policy management.

The workflow involves identifying and flagging any customer-managed IAM policy statements that include 'Effect': 'Allow' with 'Action': '*' over 'Resource': '*'. Such statements are considered overly permissive and are marked as NON_COMPLIANT. If the policy statement does not meet these criteria, it is marked as COMPLIANT. This process ensures that IAM policies adhere to security best practices by avoiding unrestricted access permissions.

The workflow involves evaluating the AWS account password policy for IAM users to ensure it meets specified requirements. If the policy fails to meet all defined criteria, it is marked as NON_COMPLIANT. The results of the evaluation are tabulated for clarity. Additionally, the workflow identifies IAM users who are non-compliant and provides reasons for their non-compliance. This process helps maintain security standards by ensuring all IAM users adhere to the required password policies.

This workflow involves assessing the compliance status of an AWS account by examining the configuration of CloudTrail. It specifically checks for the presence of multi-region CloudTrail and ensures that management events, such as those related to AWS KMS and Amazon RDS Data API, are not excluded. Any accounts that do not meet these criteria are flagged as NON_COMPLIANT. This process helps maintain security and operational standards by ensuring comprehensive logging and monitoring across AWS services.

The workflow involves evaluating all AWS CloudTrail configurations to ensure that log file validation is enabled. Each trail is assessed, and if any trail lacks log file validation, it is marked as NON_COMPLIANT. The results of this compliance check are then tabulated for further analysis and reporting. This process helps maintain the integrity and security of log files by ensuring that any unauthorized changes are detected.

The workflow involves evaluating all AWS CloudTrail configurations to ensure they are set up correctly. A key focus is on verifying that server-side encryption with AWS Key Management Service (SSE-KMS) is enabled. This ensures that all logs are securely encrypted, enhancing the security and compliance of the AWS environment. The process helps in maintaining the integrity and confidentiality of the log data. By confirming these settings, the workflow supports robust security practices within the AWS infrastructure.

The workflow involves evaluating all Amazon VPCs within the AWS region us-east-2 to ensure that VPC Flow Logs are enabled. Each VPC is checked for compliance, and if any VPC lacks Flow Logs, it is marked as NON_COMPLIANT. The results of this compliance check are then tabulated for further analysis. This process helps in maintaining security and monitoring standards across the network infrastructure.

The workflow involves assessing all default security groups within each Amazon VPC to ensure they do not permit any inbound or outbound traffic. If any default security group is found to have one or more inbound or outbound rules, it is marked as NON_COMPLIANT. The results of this evaluation are then organized into a tabulated format for easy review and analysis. This process helps maintain the security integrity of the network by ensuring that default security groups adhere to strict traffic control policies.

The workflow involves identifying AWS security groups that have incoming SSH traffic (port 22) open to the public, specifically to IP addresses 0.0.0.0/0 or ::/0. These security groups are flagged as NON_COMPLIANT due to the potential security risk of unrestricted access. Conversely, security groups that do not have such open access are marked as COMPLIANT. This process ensures that security groups adhere to best practices for network security by restricting unnecessary public access. The outcome is a clear distinction between compliant and non-compliant security configurations, aiding in maintaining a secure AWS environment.

The workflow involves analyzing AWS security groups across different regions to identify those that are non-compliant with security policies. Specifically, it focuses on security groups that allow inbound TCP traffic from unrestricted sources, such as 0.0.0.0/0 or ::/0. The process includes listing these non-compliant security groups along with the open ports and CIDR ranges that pose a security risk. The final step is to organize the non-compliant security groups into a table, categorizing them by region and compliance status. This helps in visualizing the distribution of security risks across the AWS infrastructure.