Legacy Customer-configured Snowflake Integration

Panther no longer supports this method for new customers, and will be migrating existing customers towards one of the supported methods in the future.

Overview

This guide assumes you already have a Snowflake instance in AWS.

Ideally, your Panther deployment and Snowflake instance are in the same AWS region. Having both Panther and Snowflake in the same region lowers latency for queries and data movement (relative to cross region communications).

Panther uses two Snowflake users/roles to access your Snowflake instance:

A read only user/role for queries
An admin user/role with strict permissions only to the Panther databases to create tables when new log sources are onboarded into Panther.

In Snowflake, it is possible to share table access. This allows your business data and security data to be queried in Panther (via the PANTHER_READ_ONLY role).

When you manage your own Snowflake instance, you can create tables and views with data ingested by Panther. It is not recommended for these customer-created objects to live inside Panther databases. Instead, create them in non-Panther databases, and share them with Panther.

Panther is opinionated in the naming and structure of tables and views inside Panther databases. Unexpected tables and views may cause errors.

How to configure the legacy customer-managed Snowflake integration

1. Gather configuration information from Panther

Log in to the Panther Console.
Click the gear icon in the upper right.
In the dropdown menu, click General.

There you will find:

Snowflake ReadOnly Lambda Role ARN
Snowflake Admin Lambda Role ARN
Lookup Tables Lambda Role ARN

Keep these ARNs handy, we will use this later.

2. Gather configuration information from Snowflake

In order to configure Panther, you need to get the SNOWFLAKE_IAM_USER from Snowflake.

In a Snowflake SQL shell execute the below sql, replacing myaccountid with your AWS account ID and myaccountregion with the account's region:

SELECT system$get_aws_sns_iam_policy('arn:aws:sns:myaccountregion:myaccountid:panther-processed-data-notifications');

You should see a response similar to:

{
 "Version":"2012-10-17",
 "Statement":[
  {
    "Sid":"1",
    "Effect":"Allow",
    "Principal":{
       "AWS":"arn:aws:iam::87654321XXXX:user/k7m2-s-v2st0722"
    },
    "Action":["sns:Subscribe"],
    "Resource":["arn:aws:sns:us-west-1:12345678XXXX:panther-processed-data-notifications"]
  }
 ]
}

In the above example, the SNOWFLAKE_IAM_USER is the AWS attribute arn:aws:iam::87654321XXXX:user/k7m2-s-v2st0722. Keep this handy, we will use this in a later step.

3. Create the Panther databases in Snowflake

Execute in Snowflake SQL shell:

USE ROLE SYSADMIN;

---------------- databases
CREATE database IF NOT EXISTS panther_logs;
CREATE database IF NOT EXISTS panther_rule_matches;
CREATE database IF NOT EXISTS panther_rule_errors;
CREATE database IF NOT EXISTS panther_cloudsecurity;
CREATE database IF NOT EXISTS panther_monitor;
CREATE database IF NOT EXISTS panther_views;
CREATE database IF NOT EXISTS panther_stored_procedures;
CREATE database IF NOT EXISTS panther_lookups;

4. Create a read only role and an administrative role in Snowflake

For customers with self-hosted Snowflake deployments who are upgrading to 1.18

Self-hosted customers using Snowflake data cloud should have their Database Administrator add the following permission set, or update their automation scripts to reflect the latest version of the setup instructions:

USE ROLE SECURITYADMIN;
GRANT CREATE STAGE, CREATE PIPE ON ALL SCHEMAS IN DATABASE PANTHER_MONITOR 
  TO ROLE panther_admin_role;

NOTE: be sure to update <your warehouse> in the first line of the SQL block below to the desired Snowflake warehouse name that you wish Panther to use.

We recommend you create a dedicated Panther warehouse (e.g., PANTHER_WH), so that you can easily track costs and resize capacity independently of other Snowflake resources.

Execute in Snowflake SQL shell:

SET WAREHOUSE_NAME = '<your_warehouse>';
USE ROLE SECURITYADMIN;

--------------- create panther_readonly_role
CREATE ROLE IF NOT EXISTS panther_readonly_role;

---------------- grants for panther_readonly_role

-- warehouse
GRANT USAGE
  ON WAREHOUSE IDENTIFIER($WAREHOUSE_NAME)
  TO ROLE panther_readonly_role;

-- panther_logs
GRANT USAGE
  ON DATABASE panther_logs
  TO ROLE panther_readonly_role;
GRANT USAGE
  ON SCHEMA panther_logs.public
  TO ROLE panther_readonly_role;
GRANT SELECT
  ON ALL TABLES IN SCHEMA panther_logs.public
  TO ROLE panther_readonly_role;
GRANT SELECT
  ON ALL VIEWS IN SCHEMA panther_logs.public
  TO ROLE panther_readonly_role;
GRANT SELECT
  ON FUTURE TABLES IN SCHEMA panther_logs.public
  TO ROLE panther_readonly_role;
GRANT SELECT
  ON FUTURE VIEWS IN SCHEMA panther_logs.public
  TO ROLE panther_readonly_role;

-- panther_rule_matches
GRANT USAGE
  ON DATABASE panther_rule_matches
  TO ROLE panther_readonly_role;
GRANT USAGE
  ON SCHEMA panther_rule_matches.public
  TO ROLE panther_readonly_role;
GRANT SELECT
  ON ALL TABLES IN SCHEMA panther_rule_matches.public
  TO ROLE panther_readonly_role;
GRANT SELECT
  ON ALL VIEWS IN SCHEMA panther_rule_matches.public
  TO ROLE panther_readonly_role;
GRANT SELECT
  ON FUTURE TABLES IN SCHEMA panther_rule_matches.public
  TO ROLE panther_readonly_role;
GRANT SELECT
  ON FUTURE VIEWS IN SCHEMA panther_rule_matches.public
  TO ROLE panther_readonly_role;

-- panther_rule_errors
GRANT USAGE
  ON DATABASE panther_rule_errors
  TO ROLE panther_readonly_role;
GRANT USAGE
  ON SCHEMA panther_rule_errors.public
  TO ROLE panther_readonly_role;
GRANT SELECT
  ON ALL TABLES IN SCHEMA panther_rule_errors.public
  TO ROLE panther_readonly_role;
GRANT SELECT
  ON ALL VIEWS IN SCHEMA panther_rule_errors.public
  TO ROLE panther_readonly_role;
GRANT SELECT
  ON FUTURE TABLES IN SCHEMA panther_rule_errors.public
  TO ROLE panther_readonly_role;
GRANT SELECT
  ON FUTURE VIEWS IN SCHEMA panther_rule_errors.public
  TO ROLE panther_readonly_role;

-- panther_cloudsecurity
GRANT USAGE
  ON DATABASE panther_cloudsecurity
  TO ROLE panther_readonly_role;
GRANT USAGE
  ON SCHEMA panther_cloudsecurity.public
  TO ROLE panther_readonly_role;
GRANT SELECT
  ON ALL TABLES IN SCHEMA panther_cloudsecurity.public
  TO ROLE panther_readonly_role;
GRANT SELECT
  ON ALL VIEWS IN SCHEMA panther_cloudsecurity.public
  TO ROLE panther_readonly_role;
GRANT SELECT
  ON FUTURE TABLES IN SCHEMA panther_cloudsecurity.public
  TO ROLE panther_readonly_role;
GRANT SELECT
  ON FUTURE VIEWS IN SCHEMA panther_cloudsecurity.public
  TO ROLE panther_readonly_role;

--panther_monitor
GRANT USAGE
  ON DATABASE PANTHER_MONITOR 
  TO ROLE PANTHER_READONLY_ROLE;  
GRANT USAGE 
  ON SCHEMA PANTHER_MONITOR.PUBLIC 
  TO ROLE PANTHER_READONLY_ROLE;  
GRANT SELECT 
  ON ALL TABLES  IN SCHEMA PANTHER_MONITOR.PUBLIC 
  TO ROLE panther_readonly_role;
GRANT SELECT 
  ON ALL VIEWS   IN SCHEMA PANTHER_MONITOR.PUBLIC 
  TO ROLE panther_readonly_role;
GRANT SELECT 
  ON FUTURE TABLES  IN SCHEMA PANTHER_MONITOR.PUBLIC 
  TO ROLE panther_readonly_role;
GRANT SELECT 
  ON FUTURE VIEWS   IN SCHEMA PANTHER_MONITOR.PUBLIC 
  TO ROLE panther_readonly_role;

-- panther_views
GRANT USAGE
  ON DATABASE panther_views
  TO ROLE panther_readonly_role;
GRANT USAGE
  ON SCHEMA panther_views.public
  TO ROLE panther_readonly_role;
GRANT SELECT
  ON ALL TABLES IN SCHEMA panther_views.public
  TO ROLE panther_readonly_role;
GRANT SELECT
  ON ALL VIEWS IN SCHEMA panther_views.public
  TO ROLE panther_readonly_role;
GRANT SELECT
  ON FUTURE TABLES IN SCHEMA panther_views.public
  TO ROLE panther_readonly_role;
GRANT SELECT
  ON FUTURE VIEWS IN SCHEMA panther_views.public
  TO ROLE panther_readonly_role;

-- panther_lookups
GRANT USAGE
  ON DATABASE panther_lookups
  TO ROLE panther_readonly_role;
GRANT USAGE
  ON SCHEMA panther_lookups.public
  TO ROLE panther_readonly_role;
GRANT SELECT
  ON ALL TABLES IN SCHEMA panther_lookups.public
  TO ROLE panther_readonly_role;
GRANT SELECT
  ON ALL VIEWS IN SCHEMA panther_lookups.public
  TO ROLE panther_readonly_role;
GRANT SELECT
  ON FUTURE TABLES IN SCHEMA panther_lookups.public
  TO ROLE panther_readonly_role;
GRANT SELECT
  ON FUTURE VIEWS IN SCHEMA panther_lookups.public
  TO ROLE panther_readonly_role;

--------------- create panther_admin_role
CREATE ROLE IF NOT EXISTS panther_admin_role;

GRANT ROLE panther_readonly_role
    TO ROLE panther_admin_role;

---------------- grants for panther_admin_role

-- panther_logs
GRANT CREATE TABLE, CREATE VIEW, CREATE STAGE, CREATE PIPE, MODIFY, ADD SEARCH OPTIMIZATION
  ON ALL SCHEMAS IN DATABASE panther_logs
  TO ROLE panther_admin_role;

-- panther_rule_matches
GRANT CREATE TABLE, CREATE VIEW, CREATE STAGE, CREATE PIPE, MODIFY, ADD SEARCH OPTIMIZATION
  ON ALL SCHEMAS IN DATABASE panther_rule_matches
  TO ROLE panther_admin_role;

-- panther_rule_errors
GRANT CREATE TABLE, CREATE VIEW, CREATE STAGE, CREATE PIPE, MODIFY, ADD SEARCH OPTIMIZATION
  ON ALL SCHEMAS IN DATABASE panther_rule_errors
  TO ROLE panther_admin_role;

-- panther_cloudsecurity
GRANT CREATE TABLE, CREATE VIEW, CREATE STAGE, CREATE PIPE, MODIFY, ADD SEARCH OPTIMIZATION
  ON ALL SCHEMAS IN DATABASE panther_cloudsecurity
  TO ROLE panther_admin_role;

-- panther_monitor
GRANT CREATE TABLE, CREATE VIEW, CREATE STAGE, CREATE PIPE, MODIFY, ADD SEARCH OPTIMIZATION
  ON ALL SCHEMAS IN DATABASE PANTHER_MONITOR 
  TO ROLE panther_admin_role;
GRANT SELECT, INSERT, UPDATE 
  ON ALL TABLES IN SCHEMA PANTHER_MONITOR.PUBLIC 
  TO ROLE PANTHER_ADMIN_ROLE;
GRANT SELECT, INSERT, UPDATE 
  ON FUTURE TABLES IN SCHEMA PANTHER_MONITOR.PUBLIC 
  TO ROLE PANTHER_ADMIN_ROLE;

-- panther_lookups
GRANT CREATE TABLE, CREATE VIEW, CREATE STAGE, CREATE PIPE, MODIFY, ADD SEARCH OPTIMIZATION, CREATE PROCEDURE, CREATE FUNCTION 
  ON ALL SCHEMAS IN DATABASE PANTHER_LOOKUPS 
  TO ROLE PANTHER_ADMIN_ROLE;
GRANT SELECT, INSERT, UPDATE 
  ON ALL TABLES IN SCHEMA PANTHER_LOOKUPS.PUBLIC 
  TO ROLE PANTHER_ADMIN_ROLE;
GRANT SELECT, INSERT, UPDATE 
  ON FUTURE TABLES IN SCHEMA PANTHER_LOOKUPS.PUBLIC 
  TO ROLE PANTHER_ADMIN_ROLE;

-- panther_views
GRANT CREATE VIEW, MODIFY
  ON ALL SCHEMAS IN DATABASE panther_views
  TO ROLE panther_admin_role;

-- panther_stored_procedures
GRANT USAGE ON DATABASE panther_stored_procedures
TO ROLE panther_admin_role;

GRANT CREATE PROCEDURE, CREATE FUNCTION, MODIFY, USAGE
ON ALL SCHEMAS IN DATABASE panther_stored_procedures
TO ROLE panther_admin_role;

-- this allows panther_admin_role to create a storage integration for Panther's s3 bucket
-- NOTE: this grant can be removed after Panther is initially successfully onboarded
USE ROLE ACCOUNTADMIN;

GRANT CREATE INTEGRATION ON ACCOUNT TO ROLE panther_admin_role;

-- allow access to snowflake's audit database for panther (optional)
GRANT IMPORTED PRIVILEGES ON DATABASE snowflake TO ROLE panther_readonly_role;

5. Create a read only user and an administrative user in Snowflake

NOTE: set <your_readonly_password> and <your_admin_password> below. Execute in Snowflake SQL shell:

USE ROLE SECURITYADMIN;

-- panther_readonly user
CREATE USER IF NOT EXISTS panther_readonly password='<your_readonly_password>';

GRANT ROLE panther_readonly_role
   TO USER panther_readonly;

ALTER USER panther_readonly
   SET default_role = panther_readonly_role;

-- panther_admin user
CREATE USER IF NOT EXISTS panther_admin password='<your_admin_password>';

GRANT ROLE panther_admin_role
   TO USER panther_admin;

ALTER USER panther_admin
   SET default_role = panther_admin_role;

ALTER USER PANTHER_ADMIN 
   SET TIMEZONE = 'UTC';

6. Create a stored procedure to make creating AWS Secrets easier (Optional)

Define this stored procedure that will create a JSON document you can use to copy and paste into AWS Secret Manger (saving typing). Execute in Snowflake SQL shell:

USE ROLE SYSADMIN;

CREATE or replace FUNCTION panther_stored_procedures.public.generate_secret(USN VARCHAR, PWD VARCHAR, WHS VARCHAR, HST VARCHAR)
  RETURNS OBJECT
    LANGUAGE SQL
    STRICT
    AS
  $$
  SELECT object_construct('account', current_account(),
                        'user', USN ,
                        'password', PWD ,
                        'host',TRIM(REPLACE(HST,'https://'),'/'),
                        'port','443',
                        'warehouse',WHS) AS SECRET
  $$;
  -- Customize the values here to match your password, a compute warehouse you will be using, and your hostname.
  -- The hostname is usually "<something>.snowflakecomputing.com" from the URL used to log into your cluster.
  -- SELECT panther_stored_procedures.public.generate_secret('panther_readonly','password123','COMPUTE_WH','<something>.snowflakecomputing.com');

7. Create a KMS key in your AWS account for Panther Snowflake Secrets

You will use this key to encrypt the Snowflake secrets that we will store in your AWS account as part of Step 8.

Log in to your AWS account
(Optional) Go to the same region that your Snowflake account is in
Go to KMS service
Click on Create a key
Pick Symmetric for the type and click Next
Set the alias to panther-secret. Click Next. On the next page Click Next (accept defaults)
Click on Add another AWS Account and enter the account id where Panther is installed.
Click Next and then click Finish.

8. Create a read only user AWS Secret and an administrative user AWS Secret

You will use AWS Secrets Manager to store the Snowflake user password. It will be configured to only allow access from a single lambda function in the Panther account.

Repeat the process below, once for panther_readonly user and once for the panther_admin user.

Access the AWS Secrets Manager via the console and select Store a New Secret button on the page.
You will be presented with a page titled Store a new secret. Select Other type of secrets from the list of types. Specify the following key/value pairs:

Field

Description

account

The name of your Snowflake account. It can be found by executing SELECT CURRENT_ACCOUNT()

user

Snowflake user you created earlier, either panther_readonly or panther_admin

password

The Snowflake user password that you created earlier

host

This is usually <something>.snowflakecomputing.com from the URL used to log into your cluster. Remove https:// and any trailing / from the hostname.

port

Use 443 unless you have configured differently

warehouse

The name of your Snowflake active warehouse

You can enter the above by hand OR run the following command in a Snowflake SQL shell, typing in the appropriate values for the 4 specified parameters (account and port should autopopulate). Do this once for the panther_readonly user and once for the panther_admin:

SELECT panther_stored_procedures.public.generate_secret(<user>,<password>,<warehouse>,<host>);

You can then copy-paste the result into each of the 2 secrets "plaintext" editor tab.

NOTE: Check to make sure that all 6 fields (account, host, password, port, user, warehouse) are filled out and have the correct values, otherwise the Panther lambdas may encounter issues connecting to snowflake.

Under "Select the encryption key," select panther-secret from the dropdown.
Fill in the Secret key/values.
Click Next.

You will be presented with a screen asking for the name and description of the secret. Fill these in and click Next.

Configure how often you want AWS Secrets Manager to rotate your secret, then click Next.

Finally, you will be presented with an overview screen. Scroll to the bottom and click the Store button.

Update Permissions for the Secrets

We need to configure the permissions for the two Panther AWS secrets such that only the specific Panther lambdas have access to the Snowflake secret.

The Panther panther-snowflake-api will use the panther_readonly user for user queries while the panther-snowflake-admin-api will use the panther_admin user to create tables when new log sources are onboarded.

The panther-lookup-tables-api will use the the permissions to manage look up tables in Snowflake.

Go to the console and select each of the secrets you created above. On the overview screen click on the Edit Permissions button. Copy the below policy JSON, substituting the appropriate <snowflake lambda role>, either:

panther-snowflake-api role collected in the first step
panther-snowflake-admin-api role collected in the first step

Substitute <lookup tables lambda role> with the panther-lookup-tables-api role collected in the first step.

For the value of <secret ARN> use the ARN of the secret you are updating.

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Principal": {"AWS": "<snowflake lambda role>" },
            "Action": "secretsmanager:GetSecretValue",
            "Resource": "<secret ARN>"
        },
        {
            "Effect": "Allow",
            "Principal": {"AWS": "<lookup tables lambda role>" },
            "Action": "secretsmanager:GetSecretValue",
            "Resource": "<secret ARN>"
        }
    ]
}

Then click Save.

Make a note of the arn for the secret. We will use this later.

9. Deploy Panther with Snowflake enabled

SaaS Customer-managed Deployment Users

Send to your Panther point of contact (POC):

SNOWFLAKE_IAM_USER collected in the first step
ARN for the panther_readonly user AWS Secret
ARN for the panther_admin user AWS Secret

Your Panther POC will re-deploy Panther with these settings to enable Snowflake.

CloudPrem Users

Customers running Panther in their own accounts (we call that CloudPrem) need to first deploy the master template doing an initial setup of Panther. After deploying the master template configure the master stack parameters as below:

update: SnowflakeAPISecretARN parameter as the ARN of the secret created above for the panther_readonly user.
update: SnowflakeAdminAPISecretARN parameter as the ARN of the secret created above for the panther_admin user.
update: SnowflakeDestinationClusterARNs parameter as the value of <SNOWFLAKE_IAM_USER> from initial step above.

Execute an update to the Cloudformation stack.

Validation of Snowpipe Processing

Once Panther is configured for Snowflake, you should have seven databases:

panther_logs
panther_rule_matches
panther_rule_errors
panther_cloudsecurity
panther_views
pather_stored_procedures
panther_monitor

These are the same database names used in AWS Athena and queries should behave similarly.

Assuming you have data being regularly being processed, there should be data in the tables in a few minutes. This depends on your rate of log ingestion.

You can quickly test if the data ingestion is working by running a simple query:

SELECT count(1) AS c FROM panther_views.public.all_logs ;

The configuration can be tested from the Data Explorer. Run some same queries over a table that you know has data (check via Snowflake console).

Rotating Secrets

To rotate secrets, create a NEW user and edit the secret replacing the old user and password with the new user and password. Wait one hour before deleting/disabling the old user in Snowflake.

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Last updated 1 year ago