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.
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:
- 1.A read only user/role for queries
- 2.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.
- 1.Log in to the Panther Console.
- 2.Click the gear icon in the upper right.
- 3.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.
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.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;
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;
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';
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');
You will use this key to encrypt the Snowflake secrets that we will store in your AWS account as part of Step 8.
- 1.Log in to your AWS account
- 2.(Optional) Go to the same region that your Snowflake account is in
- 3.Go to KMS service
- 4.Click on
Create a key
- 5.Pick
Symmetric
for the type and clickNext
- 6.Set the alias to
panther-secret
. ClickNext
. On the next page ClickNext
(accept defaults) - 7.Click on
Add another AWS Account
and enter the account id where Panther is installed. - 8.Click
Next
and then clickFinish
.
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
. SelectOther 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.
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 steppanther-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.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.
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 thepanther_readonly
user. - update:
SnowflakeAdminAPISecretARN
parameter as the ARN of the secret created above for thepanther_admin
user. - update:
SnowflakeDestinationClusterARNs
parameter as the value of<SNOWFLAKE_IAM_USER>
from initial step above.
Execute an update to the Cloudformation stack.
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).
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.