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Alert Rule Schema

A rule uses the results of one or more queries to execute one or more actions. The basic alert workflows are described here: JupiterOne Alert Rule configuration documentation. You can also directly edit the JSON that defines a rule for more advanced workflow execution.

Configuring a Rule

  1. Navigate to the JupiterOne alert rule configuration page (https://apps.us.jupiterone.io/alerts/rules)
  2. Click Create Rule
  3. Click Advanced Editor (JSON) to open the advanced rule editor.

JSON Example:

{
"name": "unencrypted-critical-data-stores",
"description": "Unencrypted data store with classification label of 'critical' or 'sensitive' or 'confidential' or 'restricted'",
"version": 1,
"specVersion": 1,
"pollingInterval": "ONE_DAY",
"question": {
"queries": [
{
"name": "query0",
"query": "Find DataStore with classification=('critical' or 'sensitive' or 'confidential' or 'restricted') and encrypted!=true",
"version": "v1"
}
]
},
"operations": [
{
"when": {
"type": "FILTER",
"condition": "{{queries.query0.total > 0}}"
},
"actions": [
{
"type": "CREATE_ALERT"
}
]
}
],
"outputs": ["queries.query0.total", "alertLevel"]
}

You can also configure rules to include deleted data in the results. For example:

  // ...
"question": {
"queries": [
{
"name": "query0",
"query": "Find DataStore with classification='critical' and encrypted=false as d return d.tag.AccountName as Account, d.displayName as UnencryptedDataStores, d._type as Type, d.encrypted as Encrypted",
"version": "v1",
"includeDeleted": true
},
{
"name": "query1",
"query": "...",
"version": "v1",
"includeDeleted": false
},
{
"name": "query2",
"query": "...",
"version": "v1"
}
]
},
// ...
}

Rule Properties

PropertyTypeDescription
idstringAuto-generated, globally unique ID of each rule.
versionnumberCurrent version of the rule. Incremented each time the rule is updated.
namestringName of the rule, which is unique to each account.
descriptionstringOptional description of the rule.
specVersionnumberRule evaluation version in the case of breaking changes. This should always be 1.
pollingIntervalPollingIntervalOptional frequency of automated rule evaluation. Defaults to ONE_DAY.
questionQuestionContains properties related to queries used in the rule evaluation.
questionIdstringA known unique ID for a question in the question library.
operationsRuleOperation[]Actions that are executed when a corresponding condition is met.
templatesobjectOptional key/value pairs of template name to template.
outputsstring[]Names of properties that can be used throughout the rule evaluation process and will be included in each record of a rule evaluation (for example, queries.query0.total).
notifyOnFailurebooleanWill send a notification to stakeholders (account admins, assigned users) if the rule query or any of its actions does not succeed. This property defaults to true if not provided when creating a rule.
triggerActionsOnNewEntitiesOnlybooleanWill only trigger actions to be run when entities that did not exist during the previous rule evaluation appear in the question results. This property defaults to true if not provided when creating a rule.

Type: PollingInterval

Enumeration of the scheduled frequencies on which rules will automatically be evaluated. Possible values are DISABLED, THIRTY_MINUTES, ONE_HOUR, FOUR_HOURS, EIGHT_HOURS, TWELVE_HOURS, ONE_DAY, and ONE_WEEK.

Type: RuleOperation

A RuleOperation is a single condition and series of actions that are executed when the condition is met.

PropertyTypeDescription
whenRuleOperationCondition\|RuleOperationCondition[]Type of conditional used to determine whether the associated actions should be executed.
actionsRuleOperationAction[]Actions that should be executed when the when conditions have been met.

Type: Question

A Question contains a collection of named queries that should be executed during the rule evaluation process and whose responses can be used in any RuleOperation.

PropertyTypeDescription
queriesQuestionQuery[]The collection of queries that are used during the rule evaluation.

Type: QuestionQuery

A named query that should be executed during the rule evaluation process and whose responses can be used in any RuleOperation.

PropertyTypeDescription
namestringOptional name to assign the query that will be used when referencing query data in RuleOperations. If not provided, the query name is automatically assigned based on the index in the queries array (for example, query0, query1).
querystringJupiterOne query to execute.
versionstringJupiterOne query language execution version (for example, v1).
includeDeletedbooleanWhether deleted data should be considered for the specific query (defaults to false).

Type: RuleOperationCondition

The condition that determines whether the associated actions should be executed. The type of RuleOperationCondition is determined using the type property.

Type: FilterRuleOperationCondition

PropertyTypeDescription
typestringRule operation condition type: FILTER.
conditionstringTemplate condition (for example, {{queries.query0.total > 0}}).

Type: RuleOperationAction

Action that is executed when a corresponding condition is met. The type of RuleOperationAction is determined using the type property.


Action: SET_PROPERTY

Includes a property that can be used in rule evaluation input.

PropertyTypeDescription
typestringRule operation action type: `SET_PROPERTY.
targetPropertystringProperty to include in the evaluation input.
targetValue`numberstring

Example:

{
"type": "SET_PROPERTY",
"targetProperty": "alertLevel",
"targetValue": "CRITICAL"
}

Action: CREATE_ALERT

Creates a JupiterOne alert that is visible in J1 Alerts.

PropertyTypeDescription
typestringRule operation action type: CREATE_ALERT

Example:

{
"type": "CREATE_ALERT"
}

Action: TAG_ENTITIES

Adds queryable tag values to result entities.

PropertyTypeDescription
typestringRule operation action type: TAG_ENTITIES .
entitiesobj[]Array of result entities with J1 metadata. Generally a direct reference to a query result set, e.g. {{queries.query0.data}}
tagsobj[]Array of objects containing name and value properties specifying tags to add. The value can be any JSON primitive.

Note:

Depending on result count, tags may take up to 10 minutes after rule evaluation completes to be available for query.

Example:

{
"type": "TAG_ENTITIES",
"entities": "{{queries.query0.data}}",
"tags": [ { "name": "myTag", "value":"tag-value" } ]
}

Action: SEND_EMAIL

Sends an email to a list of recipients with details related to alerts that are created during the rule evaluation.

PropertyTypeDescription
typestringRule operation action type: SEND_EMAIL.
recipientsstring[]Email addresses of the recipients of this alert.
bodystringOptional additional body information of the email.

Example:

{
"type": "SEND_EMAIL",
"body": "Number of items above threshold: {{queries.query0.total}}",
"recipients": ["recipient@example.com"]
}
Multiple Queries in a Rule

You can pass multiple queries into an alert rule that allows each query to output its results into the same, single alert.

Note the when condition in the example below will invoke actions if either query returns results.

This example shows multiple queries sending out an email alert to multiple recipients:

{
"name": "Multiple Queries in a Rule",
"description": "",
"version": 1,
"specVersion": 1,
"pollingInterval": "ONE_WEEK",
"templates": {
"tempMap": "Project: {{item.Project}}, ProjectFindings: {{item.ProjectFindings}}, RepoFindings: {{item.RepoFindings}}"
},
"outputs": [
"alertLevel"
],
"question": {
"queries": [
{
"name": "query0",
"query": "Find CodeRepo THAT RELATES TO Project with repoName!=undefined as p THAT HAS Finding as f RETURN p.repoName as Project, count(f) as ProjectFindings",
"version": "v1",
"includeDeleted": false
},
{
"name": "query1",
"query": "Find Project with repoName!=undefined THAT RELATES TO CodeRepo as p THAT HAS Finding as f RETURN p.displayName as Project, count(f) as RepoFindings",
"version": "v1",
"includeDeleted": false
}
]
},
"operations": [
{
"when": {
"type": "FILTER",
"specVersion": 1,
"condition": [
"OR",
[
"queries.query0.total",
">",
0
],
[
"queries.query1.total",
">",
0
]
]
},
"actions": [
{
"targetValue": "INFO",
"type": "SET_PROPERTY",
"targetProperty": "alertLevel"
},
{
"type": "CREATE_ALERT"
},
{
"type": "SEND_EMAIL",
"body": "Affected Items: <br><br>* {{ queries.query0.data | mapTemplate('tempMap') | join('<br>* ') }} / <br>* {{ queries.query1.data | mapTemplate('tempMap') | join('<br>* ') }}",
"recipients": [
"person1@example.com",
"person2@example.com",
"person3@example.com"
]
}
]
}
],
"tags": []
}

Action CREATE_JIRA_TICKET

Creates a Jira ticket using a specific JupiterOne Jira integration configuration.

PropertyTypeDescription
typestringRule operation action type: CREATE_JIRA_TICKET.
integrationInstanceIdstringThe id of the JupiterOne Jira integration that should be used to create the ticket.
entityClassstringThe class of the new ticket entity that should be created in JupiterOne. (for example,Vulnerability)
projectstringThe unique Jira project ID that the ticket is created in.
summarystringSummary of the Jira ticket. Used as the ticket title.
issueTypestringThe Jira issue type (for example, Task).
additionalFieldsobjectOptional additional fields that are passed directly to the Jira API. (see table below for details)

Jira Description Field

The description field can have a raw string value or be passed as depicted in these examples as Jira ADF. NOTE: string in either the text or description keys supports markdown syntax.

Other/custom Additional Fields

Fields passed into additionalFields will be passed directly to the Jira API and as such should match the required input format of each field type. This table outlines some of the common field types and their value formats. Please use the Official Jira Rest API for more information.

Field Type LabelSchema TypeInput FormatExample
TexttextfieldString value"Value of Field"
NumbernumberNumber value2
SelectselectObject with value key{ "value": "Select Option Label"}
MultiSelectmultiselectArray of string values["Option 1", "Option 2"]
MultiCheckBoxesmulticheckboxesArray of Objects with value keys[{ "value": "Option 1" }, { "value": "Option 2"}]
UserPickeruserpickerObject with accountId{ "accountId": "userInternalId" }
MultiUserPickermultiuserpickerArray of Objects with accountId keys[{ "accountId": "user1InternalId" }, { "accountId": "user2InternalId"}]

Example:

{
"type": "CREATE_JIRA_TICKET",
"integrationInstanceId": "<JIRA_INTEGRATION_INSTANCE_ID>",
"entityClass": "Vulnerability",
"project": "81198",
"summary": "Ticket summary",
"issueType": "Task",
"additionalFields": {
"custom_text": "field_value",
"custom_number": 2,
"custom_select": {
"value": "Select Option Label"
},
"custom_multi_select": ["Option 1", "Option 2"],
"custom_multi_checkboxes": [
{
"value": "Option 1"
},
{
"value": "Option 2"
}
],
"custom_user_picker": {
"accountId": "usersInternalId"
},
"custom_multi_user_picker": [
{
"accountId": "user1InternalId"
},
{
"accountId": "user2InternalId"
}
],
"description": {
"type": "doc",
"version": 1,
"content": [
{
"type": "paragraph",
"content": [
{
"type": "text",
"text": "Jira description here! **Full Markdown Supported Text**"
}
]
}
]
}
}
}

This example shows multiple queries sending results to Jira to create a single Jira issue:

{
"name": "Multiple Queries in a Rule to Jira Example",
"description": "Multiple queries can be composed into a Jira Alert",
"version": 1,
"specVersion": 1,
"pollingInterval": "ONE_DAY",
"templates": {
"projectInfo": "Project: {{item.Project}}, ProjectFindings: {{item.ProjectFindings}}, RepoFindings: {{item.RepoFindings}}"
},
"outputs": [
"alertLevel"
],
"question": {
"queries": [
{
"name": "query0",
"query": "Find CodeRepo THAT RELATES TO Project with repoName!=undefined as p THAT HAS Finding as f RETURN p.repoName as Project, count(f) as ProjectFindings",
"version": "v1",
"includeDeleted": false
},
{
"name": "query1",
"query": "Find Project with repoName!=undefined THAT RELATES TO CodeRepo as p THAT HAS Finding as f RETURN p.displayName as Project, count(f) as RepoFindings",
"version": "v1",
"includeDeleted": false
}
]
},
"operations": [
{
"when": {
"type": "FILTER",
"specVersion": 1,
"condition": [
"OR",
[
"queries.query0.total",
">",
0
],
[
"queries.query1.total",
">",
0
]
]
},
"actions": [
{
"targetValue": "INFO",
"type": "SET_PROPERTY",
"targetProperty": "alertLevel"
},
{
"type": "CREATE_ALERT",
},
{
"summary": ": {{queries.query0.total}}",
"issueType": "Task",
"entityClass": "Finding",
"integrationInstanceId": "<JIRA_INTEGRATION_INSTANCE_ID>",
"additionalFields": {
"description": {
"type": "doc",
"version": 1,
"content": [
{
"type": "paragraph",
"content": [
{
"type": "text",
"text": "{{alertWebLink}}\n\n**Affected Items:**\n\n* {{ queries.query0.data | mapTemplate('projectInfo') | join('\n* ') }} \n\n***************\n\n {{ queries.query1.data | mapTemplate('projectInfo') | join('\n* ') }}"
}
]
}
]
}
},
"project": "CT",
"type": "CREATE_JIRA_TICKET"
}
]
}
],
"tags": []
}

If your query returns multiple results, you can run a second query using the results of the first query to create a Jira ticket for each item in the first query results. You do this by editing the advanced JSON of the alert rule to use the FOR_EACH_ITEM action type.

It is not recommended that you use this action type if your results sizes are very large. This example limits the number of possible Jira tickets created to a maximum of 100, and sends an email when the limit is exceeded.

For example:

{
"name": "Unencrypted critical data stores",
"description": "",
"specVersion": 1,
"pollingInterval": "ONE_WEEK",
"question": {
"queries": [
{
"name": "query0",
"query": "Find DataStore with classification='critical' and encrypted=false",
"version": "v1",
"includeDeleted": false
}
]
},
"operations": [
{
"when": {
"type": "FILTER",
"specVersion": 1,
"condition": ["AND", ["queries.query0.total", ">", 0], ["queries.query0.total", "<=", 100]]
},
"actions": [
{
"type": "SET_PROPERTY",
"targetValue": "CRITICAL",
"targetProperty": "alertLevel"
},
{
"type": "CREATE_ALERT"
},
{
"itemRef": "obj",
"type": "FOR_EACH_ITEM",
"items": "{{queries.query0.data}}",
"actions": [
{
"type": "CREATE_JIRA_TICKET",
"summary": "{{alertRuleDescription}}",
"issueType": "",
"entityClass": "{{ obj.entity._type | join(',') }}",
"integrationInstanceId": "{{ obj.entity._integrationInstanceId }}",
"additionalFields": {
"description": {
"type": "doc",
"version": 1,
"content": [
{
"type": "paragraph",
"content": [
{
"type": "text",
"text": "{{alertWebLink}}\n\n**Affected Items:**\n\n* {{obj.properties.webLink}}"
}
]
}
]
}
},
"project": "{{param.MySpecialProject}}"
}
]
}
]
}, {
"when": {
"type": "FILTER",
"specVersion": 1,
"condition": ["queries.query0.total", ">", 100]
},
"actions": [
{
"type": "SET_PROPERTY",
"targetValue": "CRITICAL",
"targetProperty": "alertLevel"
},
{
"type": "CREATE_ALERT"
},
{
"type": "SEND_EMAIL",
"body": "The alert rule {{alertRuleName}} has {{queries.query0.total}} results. Please review the results in the JupiterOne app: {{alertWebLink}}.",
"recipients": ["emergency@example.com"],
}
]
}
],
"outputs": ["alertLevel"],
"templates": {}
}

Action: FOR_EACH_ITEM

Runs a set of actions for each item in a list. This list can be query results, or a composed list of items.

PropertyTypeDescription
typestringRule operation action type: FOR_EACH_ITEM.
itemRefstringOptional name of the item reference to use in the templates. Defaults to item
itemsstringThe list of items to iterate over. Can be a template (see example).
actionsarrayThe actions to run for each item.

Examples:

// will call POST https://example.com with the body { "name": "John Doe", "webLink": "https://apps.<region>.jupiterone.io/asset/reference/link" }
// for each user in the query results, e.g. `Find User`
{
"type": "FOR_EACH_ITEM",
"itemRef": "user",
"items": "{{queries.query0.data}}",
"actions": [
{
"type": "WEBHOOK",
"method": "POST",
"url": "https://example.com",
"body": {
"name": "{{user.properties.name}}",
"webLink": "{{user.properties.webLink}}"
},
}
]
}

Action: JUPITERONE_QUERY

Runs a JupiterOne query and stores the results on the queries template parameter with a given name. It is recommended that you only use this action within a FOR_EACH_ITEM action. Including it in normal operations actions is not recommended, as you can retrieve results you want with the normal question queries.

PropertyTypeDescription
typestringRule operation action type: JUPITERONE_QUERY.
querystringThe JupiterOne query to run.
namestringThe name of the query result to store.

Example:

//
{
"type": "FOR_EACH_ITEM",
"itemRef": "user",
"items": "{{queries.query0.data}}",
"actions": [
// JUPITERONE_QUERY actions always run first in order to enable the use of the results in the templates
// of other actions in a FOR_EACH_ITEM action
{
"type": "JUPITERONE_QUERY",
"query": "Find Account with email='{{user.properties.email}}'",
"name": "accountsOwnedByUserQuery"
},
{
"type": "WEBHOOK",
"method": "POST",
"url": "https://example.com",
"body": {
"name": "{{user.properties.displayName}}",
"accounts": "{{queries.accountsOwnedByUserQuery.data | mapProperty('displayName')}}"
}
}
]
}


Action: SEND_SLACK_MESSAGE

Sends a Slack message to a given Slack webhook URL.

PropertyTypeDescription
integrationInstanceIdstringThe id of the JupiterOne Jira integration used to create the ticket.
typestringRule operation action type: SEND_SLACK_MESSAGE.
channelsstringA string or list of strings beginning with a # to denote Slack channels to send to.
webhookUrlstringWebhook URL for the account/channel that this message should be delivered to.
severitystringOptional severity of this alert that determined the color of the message shown in Slack.

NOTE: By default, the color of the alert in Slack is derived from the value of the alertLevel that is created in a SET_PROPERTY action. You can override the color of the alert using the severity property.

Example:

After you have configured the integration, copy the integration ID from the integration instance page, which looks similar to d1549f40-b9fd-447a-bec5-4360c9ca7e8c.

Configure a rule with the SEND_SLACK_MESSAGE action and specify the integrationInstanceId with the unique identifier of the integration and channels denoting the destinations. The following is an example alert rule configuration with the SEND_SLACK_MESSAGE action:

NOTE: For the JupiterOne Slack bot to deliver messages to a private Slack channel, the JupiterOne Slack bot must be a member of that private channel.

{
"id": "83136d41-23d0-415c-8726-84363d5a8a30",
"name": "acm-cert-expiry",
"description": null,
"version": 1,
"specVersion": 1,
"notifyOnFailure": null,
"triggerActionsOnNewEntitiesOnly": null,
"pollingInterval": "ONE_DAY",
"templates": {},
"outputs": [
"alertLevel"
],
"question": {
"queries": [
{
"query": "Find aws_acm_certificate with inUse = true and expiresOn > date.now and expiresOn < date.now + 30days",
"name": "query0",
"version": "v1",
"includeDeleted": false
}
]
},
"questionId": null,
"operations": [
{
"when": {
"type": "FILTER",
"specVersion": 1,
"condition": [
"AND",
[
"queries.query0.total",
">",
0
]
]
},
"actions": [
{
"targetValue": "CRITICAL",
"id": "e1d40781-831f-43bf-b813-b28b6f2218ef",
"type": "SET_PROPERTY",
"targetProperty": "alertLevel"
},
{
"type": "CREATE_ALERT",
"id": "a3a32646-db5c-4c18-89be-c02798cd84c4"
},
{
"integrationInstanceId": "8d677b84-c32e-45d3-9b46-902912a00304",
"id": "c1a3a9bc-7c4f-4eba-afff-528f9cbd2ff1",
"type": "SEND_SLACK_MESSAGE",
"body": "*Affected Items:* \n\n- {{queries.query0.data|mapProperty('displayName')|join('\n- ')}}",
"channels": []
}
]
}
],
"state": null,
"tags": []

This example shows how to use a template in a Slack message.


Action: WEBHOOK

Sends an HTTP request to a given endpoint.

PropertyTypeDescription
typestringRule operation action type: WEBHOOK
endpointstringWebhook endpoint to send the request to.
methodstringHTTP method to use when making the request Allowed values: POST, PUT, GET, HEAD, PATCH, DELETE.
bodyobjectOptional body data to include in the request. Can only be used with POST, PUT, and PATCH.
headersobjectOptional HTTP headers to include in the request.

Webhook Reference Variables

You can reference the following variables via a template pattern (such as {{alertLevel}}) inside the webhook action:

PropertyTypeDescription
alertLevelstringLevel of severity of the rule.
alertRuleNamestringName of the alert rule.
alertRuleIdstringIdentifier for the alert in the J1 platform.
alertRuleDescriptionstringDescription saved in the rule.

Example:

{
"type": "WEBHOOK",
"method": "POST",
"body": {
"myApiPayload": " {{alertLevel}} alert has been triggered: {{alertRuleName}} "
},
"headers": {
"Authorization": "Bearer abc123"
}
}
Tines Trigger

If you opt to use a Tines alert action when you create a rule, J1 creates a webhook with the Tines URL you provided and pushes the data to that endpoint. You can use any of the Tines APIs to configure the webhook action.


Action: PUBLISH_SNS_MESSAGE

Publishes a message to the specified SNS topic.

PropertyTypeDescription
typestringRule operation action type: PUBLISH_SNS_MESSAGE.
integrationInstanceIdstringThe ID of the AWS integration instance to use. The integration role must have sns:Publish permission.
topicArnstringThe ARN of the SNS topic to publish the message to.
dataobjectUser-provided data to include in the message. See Operation Templating for details on using variable data.

Example:

{
"type": "PUBLISH_SNS_MESSAGE",
"integrationInstanceId": "<AWS_INTEGRATION_INSTANCE_ID>",
"topicArn": "arn:aws:sns:<REGION>:arn:aws:sns:<ACCOUNT_ID>:<SNS_TOPIC_NAME>",
"data": {
"query0Data": "{{queries.query0.data}}",
"anotherCustomProperty": true
}
}
!!! Note:

data is stringified in the payload. For example:

{
Sns: {
Message: '{"data":{"query0Data": ..., "anotherCustomProperty": true}}';
}
}

Action: SEND_SQS_MESSAGE

Publishes a message to the specified SQS queue.

PropertyTypeDescription
typestringRule operation action type: SEND_SQS_MESSAGE.
integrationInstanceIdstringThe ID of the AWS integration instance to use. The integration role must have sqs:SendMessage permission.
queueUrlstringThe URL of the SQS queue to publish the message to.
dataobjectUser-provided data to include in the message. See Operation Templating for details on using variable data.

Example:

{
"type": "SEND_SQS_MESSAGE",
"integrationInstanceId": "<AWS_INTEGRATION_INSTANCE_ID>",
"queueUrl": "https://sqs.<REGION>.amazonaws.com/<ACCOUNT_ID>/<SQS_QUEUE_NAME>",
"data": {
"query0Data": "{{queries.query0.data}}",
"anotherCustomProperty": true
}
}

!!! warning data is stringified in the payload. For example:

{
body: '{"data":{"query0Data": ..., "anotherCustomProperty": true}}';
}

Operation Templating

You can use templates inside any property under the operations property on a rule. The templates can contain a JavaScript-like syntax that automatically have input variables injected for usage.

For example, FilterRuleOperationConditions are often used with rules as the condition for whether rule actions should be executed. You can use query response data inside of the rule conditions:

{
"operations": [
{
"when": {
"type": "FILTER",
// Use the `.total` property from query named `query0`.
"condition": "{{queries.query0.total > 0}}"
},
"actions": [
{
"type": "CREATE_ALERT"
}
]
}
]
}

You can use data from query results inside of rule operations by referencing the query.query0.data property and custom templating transforms. For example:

{
"name": "lambda-function-settings-check-runtime-nodejs610",
"description": "Node.js 6.10 is end of life (EOL) and should no longer be used.",
"specVersion": 1,
"pollingInterval": "ONE_DAY",
"templates": {
// The email template that we will use later
"emailBody": "({{itemIndex+1}} of {{itemCount}}) [{{item.account}}] Function Name: {{item.functionName}}<br>"
},
"question": {
"queries": [
{
"name": "query0",
"query": "Find aws_lambda_function with runtime='nodejs6.10' as f return f.name as functionName, f.version as version, f.tag.AccountName as account, f.tag.Project as project order by account",
"version": "v1"
}
]
},
"operations": [
{
"when": {
"type": "FILTER",
"specVersion": 1,
"condition": "{{queries.query0.total > 0}}"
},
"actions": [
{
"targetValue": "HIGH",
"type": "SET_PROPERTY",
"targetProperty": "alertLevel"
},
{
"type": "CREATE_ALERT"
},
{
"type": "SEND_EMAIL",
// Reference the `query0` data and include it in a template
"body": "Affected Functions: <br><br>{{ queries.query0.data | mapTemplate('emailBody') | join(' ') }}",
"recipients": ["person1@example.com"]
}
]
}
],
"outputs": ["queries.query0.total", "alertLevel"]
}

Rule Evaluation Templating Language

You can create a template in any RuleOperation using the {{...}} syntax. Inside the {{...}} is a JavaScript-like language that allows for powerful rule evaluation functionality. Additionally, if the template contains exactly one expression and nothing else, the original type of the computed value is preserved. If multiple expressions are used, the entire value is casted to a string.

The following is an example where the type boolean is preserved because there is only a single expression:

{{true}}

The following is an example where the entire value would be cast to a string because it contains multiple expressions:

{{age + 10}} is my age and my name is {{firstName + " " + lastName}}

All templating expressions support references to account parameters:

My name is {{param.myFirstName}} and I am {{age}}

Unary Operators

OperationSymbol
Negate!

Binary Operators

OperationSymbol
Add, Concat+
Subtract-
Multiply*
Divide/
Divide and floor//
Modulus%
Power of^
Logical AND&&
Logical OR``

Comparisons

ComparisonSymbol
Equal==
Not equal!=
Greater than>
Greater than or equal>=
Less than<
Less than or equal<=
Element in array or stringin

Ternary operator

ExpressionResult
"" ? "Full" : "Empty"Empty
"foo" in "foobar" ? "Yes" : "No"Yes
{agent: "Archer"}.agent ?: "Kane"Archer

Native Types

TypeExamples
Booleanstrue, false
Strings"Hello \"user\"", 'Hey there!'
Numerics6, -7.2, 5, -3.14159
Objects{hello: "world!"}
Arrays['hello', 'world!']

Groups

Grouping operations with parentheses:

ExpressionResult
(83 + 1) / 242
`1 < 3 && (4 > 2

Custom Templating Transforms

Some custom transforms are exposed in the rule templating language. These are functions that perform actions on an input, and can be chained together to accomplish some powerful actions.

mapTemplate(templateName: string) Custom Transform

mapTemplate is separates and reuses templates inside of a rule. The transform expects a single array and the first argument should be a string whose value matches a template in rule templates object.

The mapTemplate transform exposes additional input variable to the template:

PropertyTypeDescription
itemanyThe individual item of this iteration.
itemCountnumberThe total count of items in the array.
itemIndexnumberThe index of the current item in the array

!!! note The properties that are accessible on the item property are pulled from the properties object and the entity object if the item matches the schema for an entity.

Example operation:

{
"type": "SEND_EMAIL",
// Reference the `query0` data and include it in a template
"body": "{{ queries.query0.data | mapTemplate('emailBody') | join(' ') }}",
"recipients": ["person1@example.com"]
}

Example templates:

{
"emailBody": "({{itemIndex+1}} of {{itemCount}}) [{{item.account}}] Function Name: {{item.somePropertyOnItem}}<br>"
}

mapProperty(...properties: string) Custom Transform

Allows for mapping individual properties from an array. You can supply a single or multiple properties. The properties that are accessible are pulled from the properties object and the entity object if the item matches the schema for an entity. If the array that is being evaluated with mapProperty matches the schema of an entity, the the rule evaluator attempts to pull properties passed to mapProperty from the entity properties.

Example query data:

{
"query": "FIND Person",
"data": [
{
"id": "",
"entity": {
"_createdOn": 1234
// ...
},
"properties": {
"firstName": "Jon"
// ...
}
},
{
"id": "",
"entity": {
"_createdOn": 12345
// ...
},
"properties": {
"firstName": "Jane"
// ...
}
}
]
}

This is an example of accessing properties data using mapProperty and the above data:

{
"type": "SEND_EMAIL",
// This would return: `Jon,Jane`
"body": "{{ queries.query0.data | mapProperty('firstName') | join}}",
"recipients": ["person1@example.com"]
}

This is an example accessing entity data using mapProperty and the above data:

{
"type": "SEND_EMAIL",
// This would return: `1234,12345`
"body": "{{ queries.query0.data | mapProperty('_createdOn') | join}}",
"recipients": ["person1@example.com"]
}

merge(...data: array) Custom Transform

Allows for merging 1 or more arrays together to create a new array of the combined results. This transform does not perform any deduplication; all elements of the input arrays are present in the output. This is usually used to combine the results of two or more J1QL queries into a common set of query results.

Example query configuration:

{
"queries": [
{
"query": "Find User with name ~=\"first.last\" as a RETURN a.displayName as DisplayName",
"name": "query0",
"version": "v1",
"includeDeleted": false
},
{
"query": "Find User with name ~=\"firstLast\" as b RETURN b.displayName as DisplayName",
"name": "query1",
"version": "v1",
"includeDeleted": false
}
]
}

This is an example of merging the results of these two queries together, and getting the number of deduplicated total results.

{
"type": "SEND_EMAIL",
"body": "Total Query Results: {{ queries.query0.data | merge(queries.query1.data) | uniquePropertyValues('displayName') | length}}",
"recipients": ["person1@example.com"]
}

join(separator?: string) Custom Transform

This function is similar to the Array.prototype.join function in JavaScript. It returns a new string by concatenating all of the elements in an array. If the separatorargument is not passed to join, the array elements are separated by a comma, by default.

This transform is often used with mapTemplate or mapProperty.

Example:

{
"type": "SEND_EMAIL",
"body": "{{ queries.query0.data | mapTemplate('emailBody') | join(' ') }}",
"recipients": ["person1@example.com"]
}

Example of default if no separator is passed to join:

{
"type": "SEND_EMAIL",
"body": "{{ queries.query0.data | mapTemplate('emailBody') | join }}",
"recipients": ["person1@example.com"]
}

uniquePropertyValues(propertyName: string) Custom Transform

Creates a set of unique values for the given property name. The transform will pull all properties from the entity and properties sub-properties to the top level to try to access the passed in propertyName.

Example query data:

{
"query": "FIND Person",
"data": [
{
"id": "1",
"entity": {
"_createdOn": 1234
// ...
},
"properties": {
"firstName": "Jon"
// ...
}
},
{
"id": "2",
"entity": {
"_createdOn": 12345
// ...
},
"properties": {
"firstName": "Jane"
// ...
}
},
{
"id": "3",
"entity": {
"_createdOn": 5555
// ...
},
"properties": {
"firstName": "Jon"
// ...
}
},
]
}

This is an example of accessing deduplicating a property of an array of entities:

{
"type": "SEND_EMAIL",
// This would return: ["Jon","Jane"]
"body": "{{ queries.query0.data | uniquePropertyValues('firstName') }}",
"recipients": ["person1@example.com"]
}

Common Templating Examples

Merging multiple query results to generate a unique set of values for a given property printed on a new line

{{ queries.query0.data | merge(queries.query1.data) | uniquePropertyValues('firstName') | join('\n') }}

// Will display something like:
//
// firstName1
// firstName2
// ...

Using a template to display multiple properties from a set of query results

// In the templates definition
{
"myTemplateName": "Property1: {{item.propertyName1}} - Property2: {{item.propertyName2}}"
}

// In your rule action
{{ queries.query0.data | mapProperty('propertyName1', 'propertyName2') | mapTemplate('myTemplateName') | join('\n') }}

// Will display something like:

// Property1: value1 - Property2 - value2
// Property1: value3 - Property2 - value4
// ...

Filtering a set of query results to a specific name and using a template for extra propoerties

// In the templates definition
{
"myTemplateName": "Property1: {{item.name}} - Property2: {{item.id}}"
}

// In your rule action
{{ queries.query0.data[.name == 'repository1'] | mapProperty('name', 'id') | mapTemplate('myTemplateName') | join('\n') }}

// Will display something like:

// repository1 - anIdForEntity1
// repository1 - anIdForEntity2
// repository1 - anIdForEntity3
// ...

Filtering Collections

Collections, or arrays of objects, can be filtered by including a filter expression in brackets. Properties of each collection can be referenced by prefixing them with a leading dot. The result will be an array of the objects for which the filter expression resulted in a truthy value.

Example context:

{
employees: [
{first: 'Sterling', last: 'Archer', age: 36},
{first: 'Malory', last: 'Archer', age: 75},
{first: 'Lana', last: 'Kane', age: 33},
{first: 'Cyril', last: 'Figgis', age: 45},
{first: 'Cheryl', last: 'Tunt', age: 28}
],
retireAge: 62
}
ExpressionResult
employees[.first == 'Sterling'][{first: 'Sterling', last: 'Archer', age: 36}]
employees[.last == 'Tu' + 'nt'].firstCheryl
employees[.age >= 30 && .age < 40][{first: 'Sterling', last: 'Archer', age: 36},{first: 'Lana', last: 'Kane', age: 33}]
employees[.age >= 30 && .age < 40][.age < 35][{first: 'Lana', last: 'Kane', age: 33}]
employees[.age >= retireAge].firstMalory

Parameters in Rules

Rules support reference to parameter values stored at the account-level. These parameters simplify the task of referencing long, sensitive, or widely reused values in rules or queries. For example, the following action trigger is nearly identical to the slack webhook example:

{
"type": "WEBHOOK",
"method": "POST",
"body": {
"name": "Jon"
},
"headers": {
"Authorization": "Bearer {{param.SlackAuthToken}}"
}
}

This showcases a primary use case of parameter storage: a value that is long, not human-readable, and may represent a sensitive value which should not be leaked in the configuration.

param.SlackAuthToken invokes a parameter stored at the account level, which is referenced when the rule is evaluated. These parameters are always referenced with the preceding token param.. The subsequent string (without special characters) identifies the name of a parameter.

Parameters are supported anywhere that Operation Templating is supported, and the value of a parameter can be any type of native type with the exclusion of objects, which support comparison against parameters but cannot be the contents of a parameter. Additionally, parameters can store lists of native types, and template expressions can invoke parameter lists similarly to examples above. For example, using the email example, we can parameterize the recipient list:

{
"type": "SEND_EMAIL",
"body": "{{ queries.query0.data | mapTemplate('emailBody') | join(' ') }}",
// a stored list of email strings:
"recipients": "{{param.alertEmailRecipientList}}"
}

For more info on JupiterOne parameters, reference the documentation.