SOC2 Compliance Tasks

This task involves retrieving and listing the names of all the S3 buckets that are currently associated with your AWS account. By fetching this list, you gain an overview of the existing S3 buckets under your account, which can aid in resource management, access control, and tracking. This information is valuable for maintaining an organized and well-structured AWS environment, ensuring efficient storage utilization, and facilitating easy navigation of your stored data.

The task involves auditing AWS S3 buckets to identify those that permit public write access. This process helps ensure data security by flagging buckets that might be vulnerable to unauthorized modifications.

This task involves retrieving and listing the names of all the S3 buckets that are currently associated with your AWS account. By fetching this list, you gain an overview of the existing S3 buckets under your account, which can aid in resource management, access control, and tracking. This information is valuable for maintaining an organized and well-structured AWS environment, ensuring efficient storage utilization, and facilitating easy navigation of your stored data.

The task involves scanning AWS S3 buckets to detect any that permit public read access, highlighting potential vulnerabilities in data privacy and security.

This task involves retrieving and listing the names of all the S3 buckets that are currently associated with your AWS account. By fetching this list, you gain an overview of the existing S3 buckets under your account, which can aid in resource management, access control, and tracking. This information is valuable for maintaining an organized and well-structured AWS environment, ensuring efficient storage utilization, and facilitating easy navigation of your stored data.

This task assesses whether AWS S3 buckets have default server-side encryption activated or if their bucket policies explicitly deny any put-object requests that lack server-side encryption, specifically using AES-256 or AWS KMS. It designates S3 buckets as NON_COMPLIANT if they are not set to be encrypted by default.

This task involves retrieving and listing the names of all the S3 buckets that are currently associated with your AWS account. By fetching this list, you gain an overview of the existing S3 buckets under your account, which can aid in resource management, access control, and tracking. This information is valuable for maintaining an organized and well-structured AWS environment, ensuring efficient storage utilization, and facilitating easy navigation of your stored data.

This task involves checking AWS S3 buckets to determine if Server Access Logging is enabled. It's crucial for monitoring and diagnosing security incidents, as it records requests made to the S3 bucket, enhancing transparency and aiding compliance with security protocols.

This task involves verifying the presence of access keys for the AWS root user. It is critical for security to ensure that the root user, which has extensive privileges, does not have active access keys, thereby reducing the risk of unauthorized access and potential security breaches in the AWS environment.

This lists all IAM users in an AWS account, providing key details like usernames, user IDs, and creation dates. Essential for managing permissions and auditing access, this function supports security and compliance protocols by offering a clear view of user entities and their access levels. It's instrumental in enforcing security policies and the principle of least privilege in AWS resource access management.

This task audits AWS IAM users to identify those with administrative access. It ensures adherence to security standards by limiting broad access rights, crucial for mitigating risks associated with unauthorized permissions in a cloud environment.

This lists all IAM users in an AWS account, providing key details like usernames, user IDs, and creation dates. Essential for managing permissions and auditing access, this function supports security and compliance protocols by offering a clear view of user entities and their access levels. It's instrumental in enforcing security policies and the principle of least privilege in AWS resource access management.

This task aims at enhancing SOC2 compliance by identifying AWS IAM users without Multi-Factor Authentication (MFA). This process helps enforce strict access control measures, crucial for SOC2 guidelines, by pinpointing and addressing accounts lacking essential security features.

This task involves identifying IAM users in an AWS environment who have individual policies attached to their accounts. This is key for security and compliance, ensuring permissions are managed through group memberships or role assumptions, rather than direct attachments, for better access control and security practices.

This task identifies and isolates AWS IAM (Identity and Access Management) access keys that have surpassed a predefined age threshold. AWS IAM keys are utilized to securely control access to AWS services and resources. As a best practice for secure access management, it is recommended to regularly rotate IAM access keys and retire those that are no longer needed or have become outdated. By filtering out old access keys, administrators can ensure that access credentials are not overly permissive or unnecessarily prolonged, thereby enhancing the security posture. This task involves analyzing the creation date of each IAM access key, comparing it against the current date, and identifying keys that exceed the acceptable age limit, which are then either flagged for review to uphold stringent access control and minimize potential security risks.

This lists all IAM users in an AWS account, providing key details like usernames, user IDs, and creation dates. Essential for managing permissions and auditing access, this function supports security and compliance protocols by offering a clear view of user entities and their access levels. It's instrumental in enforcing security policies and the principle of least privilege in AWS resource access management.

This task identifies and isolates AWS IAM (Identity and Access Management) access keys that have surpassed a predefined age threshold. AWS IAM keys are utilized to securely control access to AWS services and resources. As a best practice for secure access management, it is recommended to regularly rotate IAM access keys and retire those that are no longer needed or have become outdated. By filtering out old access keys, administrators can ensure that access credentials are not overly permissive or unnecessarily prolonged, thereby enhancing the security posture. This task involves analyzing the creation date of each IAM access key, comparing it against the current date, and identifying keys that exceed the acceptable age limit, which are then either flagged for review to uphold stringent access control and minimize potential security risks.

This lists all IAM users in an AWS account, providing key details like usernames, user IDs, and creation dates. Essential for managing permissions and auditing access, this function supports security and compliance protocols by offering a clear view of user entities and their access levels. It's instrumental in enforcing security policies and the principle of least privilege in AWS resource access management.

This task identifies users who haven't accessed AWS services within a specified timeframe. This process helps to maintain a secure and well-organized IAM environment by focusing on active users and potentially deactivating or removing those who are no longer in use.

Amazon Elastic Compute Cloud (EC2) is a service offered by Amazon Web Services (AWS) that provides resizable compute capacity in the cloud. Through Boto3's EC2 client, the describe_instances() method provides detailed information about each instance, including its ID, type, launch time, and current state. This capability assists users in effectively monitoring and managing their cloud resources.

This task is designed to audit AWS environments for SOC2 compliance. It systematically identifies security groups in running EC2 instances that permit unrestricted SSH access, flagging potential security vulnerabilities and aiding in maintaining SOC2 compliance standards.

Amazon Elastic Compute Cloud (EC2) is a service offered by Amazon Web Services (AWS) that provides resizable compute capacity in the cloud. Through Boto3's EC2 client, the describe_instances() method provides detailed information about each instance, including its ID, type, launch time, and current state. This capability assists users in effectively monitoring and managing their cloud resources.

This task is focused on identifying EC2 instances in an AWS environment that are assigned public IP addresses. It plays a crucial role in maintaining SOC2 compliance by identifying potential security risks associated with public internet exposure.

This task identifies security groups allowing unrestricted TCP traffic to specified ports on IPv4, highlighting potential security risks. It ensures traffic to sensitive ports is limited to authorized sources, bolstering network security. The aim is to prevent unauthorized access and exposure of critical services.

This task enumerates all Virtual Private Clouds across every AWS region in an account. This task is essential for network management, security audits, and resource tracking, especially in large-scale environments. It provides details like VPC IDs, CIDR blocks, and associated resources for each VPC.

This task focuses on scrutinizing default security groups in AWS VPCs to identify and flag those allowing unauthorized traffic. It serves as a critical measure to pinpoint security groups that deviate from the no-traffic policy, ensuring adherence to stringent network security protocols in VPC environments.

This task enumerates all Virtual Private Clouds across every AWS region in an account. This task is essential for network management, security audits, and resource tracking, especially in large-scale environments. It provides details like VPC IDs, CIDR blocks, and associated resources for each VPC.

This task identifies Virtual Private Clouds (VPCs) in an AWS environment that lack active Flow Logs. This task is essential for security and compliance, ensuring that network traffic is monitored and logged. It involves checking each VPC's Flow Logs status and isolating those without the feature, helping to prioritize security enhancements and network monitoring strategies.

This task verifies if AWS CloudTrail is configured with Server-Side Encryption (SSE) using AWS Key Management Service (KMS) Customer Master Keys (CMKs). It ensures that each CloudTrail trail has a KmsKeyId defined, confirming encryption according to SOC2 standards. This process enhances security and meets regulatory requirements for encrypted AWS activity logging.

This task involves enumerating and retrieving detailed information about every AWS CloudTrail trail that exists across all AWS regions within an AWS account. Each trail captures specific API activity and events, and having a comprehensive list helps in providing visibility into what actions are being logged, where the logs are stored, and how they are configured. This listing process is foundational for subsequent tasks like auditing, analysis, and optimization of AWS CloudTrail, aiding in efficient resource management and security compliance.

This task audits AWS CloudTrail Trails for SOC2 Compliance by checking Log File Validation across various regions. It evaluates each trail for enabled log file validation and the presence of a valid 'LatestDigestDeliveryTime'. Trails are marked as compliant or non-compliant based on these criteria, with specific reasons for non-compliance provided.