| agent: | Auto Exec |
Troubleshooting: Server is not reachable or unable to connect
Add credentials for various integrations
What is an "Expert"? How do we create our own expert?
Add credentials for various integrations
Managing workspaces and access control
DagKnows Architecture Overview
Setting up SSO via Azure AD for Dagknows
Enable "Auto Exec" and "Send Execution Result to LLM" in "Adjust Settings" if desired
(Optionally) Add ubuntu user to docker group and refresh group membership
Deployment of an EKS Cluster with Worker Nodes in AWS
Adding, Deleting, Listing DagKnows Proxy credentials or key-value pairs
Comprehensive AWS Security and Compliance Evaluation Workflow (SOC2 Super Runbook)
AWS EKS Version Update 1.29 to 1.30 via terraform
Instruction to allow WinRM connection
MSP Usecase: User Onboarding Azure + M365
Post a message to a Slack channel
How to debug a kafka cluster and kafka topics?
Open VPN Troubleshooting (Powershell)
Execute a simple task on the proxy
Assign the proxy role to a user
Create roles to access credentials in proxy
Install OpenVPN client on Windows laptop
Setup Kubernetes kubectl and Minikube on Ubuntu 22.04 LTS
Install Prometheus and Grafana on the minikube cluster on EC2 instance in the monitoring namespace
update the EKS versions in different clusters
AI agent session 2024-09-12T09:36:14-07:00 by Sarang Dharmapurikar
Parse EDN content and give a JSON out
Check whether a user is there on Azure AD and if the user account status is enabled
Compliance Check for S3 Bucket Encryption
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.
- 1gfBY9XRPr6JEra7eMWmsIdentify Amazon S3 buckets that do not have default encryption enabled or lack a policy explicitly denying unencrypted put-object requests, and flag them as NON_COMPLIANT.
1
There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.1- 1.1DMmrPQwGHtD46gJcY69wList all Amazon S3 buckets in the AWS account.
1.1
List all Amazon S3 buckets in the AWS account.
There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.This script lists all S3 buckets in the AWS account.
inputsoutputsimport boto3 # Initialize boto3 client for S3 s3_client = boto3.client('s3', aws_access_key_id=getEnvVar('AWS_ACCESS_KEY_ID'), aws_secret_access_key=getEnvVar('AWS_SECRET_ACCESS_KEY'), region_name='us-east-2') # List all S3 buckets buckets = s3_client.list_buckets()['Buckets'] # Extract bucket names bucket_names = [bucket['Name'] for bucket in buckets] print("Bucket names:", bucket_names)copied1.1 - 1.2rcxf5yuj0SXCrkBHOBUlCheck each S3 bucket for default encryption settings and identify buckets without default encryption enabled.
1.2
There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.This script checks each S3 bucket for default encryption settings and identifies buckets without default encryption enabled.
inputsoutputsimport boto3 # Initialize boto3 client for S3 s3_client = boto3.client('s3', aws_access_key_id=getEnvVar('AWS_ACCESS_KEY_ID'), aws_secret_access_key=getEnvVar('AWS_SECRET_ACCESS_KEY'), region_name='us-east-2') non_compliant_buckets = [] for bucket_name in bucket_names: try: # Check if default encryption is enabled encryption = s3_client.get_bucket_encryption(Bucket=bucket_name) rules = encryption['ServerSideEncryptionConfiguration']['Rules'] if not rules: non_compliant_buckets.append(bucket_name) except s3_client.exceptions.ClientError as e: # If the error is because the bucket does not have encryption enabled if e.response['Error']['Code'] == 'ServerSideEncryptionConfigurationNotFoundError': non_compliant_buckets.append(bucket_name) print("Non-compliant buckets:", non_compliant_buckets)copied1.2 - 1.3B78ckvHZeD0HH8ZV24XlCheck each S3 bucket for a policy explicitly denying unencrypted put-object requests and identify buckets lacking such a policy.
1.3
There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.This script checks each S3 bucket for a policy explicitly denying unencrypted put-object requests and identifies buckets lacking such a policy.
inputsoutputsimport boto3 import json # Initialize boto3 client for S3 s3_client = boto3.client('s3', aws_access_key_id=getEnvVar('AWS_ACCESS_KEY_ID'), aws_secret_access_key=getEnvVar('AWS_SECRET_ACCESS_KEY'), region_name='us-east-2') buckets_lacking_policy = [] for bucket_name in bucket_names: try: # Get the bucket policy policy = s3_client.get_bucket_policy(Bucket=bucket_name) policy_statements = json.loads(policy['Policy'])['Statement'] # Check for a policy explicitly denying unencrypted put-object requests policy_found = False for statement in policy_statements: if statement.get('Effect') == 'Deny': conditions = statement.get('Condition', {}) if 'Bool' in conditions and 'aws:SecureTransport' in conditions['Bool']: if conditions['Bool']['aws:SecureTransport'] == 'false': policy_found = True break if not policy_found: buckets_lacking_policy.append(bucket_name) except s3_client.exceptions.ClientError as e: # If the error is because the bucket does not have a policy if e.response['Error']['Code'] == 'NoSuchBucketPolicy': buckets_lacking_policy.append(bucket_name) print("Buckets lacking policy explicitly denying unencrypted put-object requests:", buckets_lacking_policy)copied1.3