prismacloud.Dataprofile
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Manage a data profile.
Example Usage
import * as pulumi from "@pulumi/pulumi";
import * as prismacloud from "@pulumi/prismacloud";
const example = new prismacloud.Dataprofile("example", {
dataPatternsRule1: {
dataPatternRules: [{
confidenceLevel: "low",
matchType: "include",
name: "Data pattern name",
occurrenceCount: 5,
occurrenceOperatorType: "less_than_equal_to",
}],
},
description: "Made by Pulumi",
});
import pulumi
import pulumi_prismacloud as prismacloud
example = prismacloud.Dataprofile("example",
data_patterns_rule1={
"data_pattern_rules": [{
"confidence_level": "low",
"match_type": "include",
"name": "Data pattern name",
"occurrence_count": 5,
"occurrence_operator_type": "less_than_equal_to",
}],
},
description="Made by Pulumi")
package main
import (
"github.com/pulumi/pulumi-terraform-provider/sdks/go/prismacloud/prismacloud"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := prismacloud.NewDataprofile(ctx, "example", &prismacloud.DataprofileArgs{
DataPatternsRule1: &prismacloud.DataprofileDataPatternsRule1Args{
DataPatternRules: prismacloud.DataprofileDataPatternsRule1DataPatternRuleArray{
&prismacloud.DataprofileDataPatternsRule1DataPatternRuleArgs{
ConfidenceLevel: pulumi.String("low"),
MatchType: pulumi.String("include"),
Name: pulumi.String("Data pattern name"),
OccurrenceCount: pulumi.Float64(5),
OccurrenceOperatorType: pulumi.String("less_than_equal_to"),
},
},
},
Description: pulumi.String("Made by Pulumi"),
})
if err != nil {
return err
}
return nil
})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Prismacloud = Pulumi.Prismacloud;
return await Deployment.RunAsync(() =>
{
var example = new Prismacloud.Dataprofile("example", new()
{
DataPatternsRule1 = new Prismacloud.Inputs.DataprofileDataPatternsRule1Args
{
DataPatternRules = new[]
{
new Prismacloud.Inputs.DataprofileDataPatternsRule1DataPatternRuleArgs
{
ConfidenceLevel = "low",
MatchType = "include",
Name = "Data pattern name",
OccurrenceCount = 5,
OccurrenceOperatorType = "less_than_equal_to",
},
},
},
Description = "Made by Pulumi",
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.prismacloud.Dataprofile;
import com.pulumi.prismacloud.DataprofileArgs;
import com.pulumi.prismacloud.inputs.DataprofileDataPatternsRule1Args;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
var example = new Dataprofile("example", DataprofileArgs.builder()
.dataPatternsRule1(DataprofileDataPatternsRule1Args.builder()
.dataPatternRules(DataprofileDataPatternsRule1DataPatternRuleArgs.builder()
.confidenceLevel("low")
.matchType("include")
.name("Data pattern name")
.occurrenceCount(5)
.occurrenceOperatorType("less_than_equal_to")
.build())
.build())
.description("Made by Pulumi")
.build());
}
}
resources:
example:
type: prismacloud:Dataprofile
properties:
dataPatternsRule1:
dataPatternRules:
- confidenceLevel: low
matchType: include
name: Data pattern name
occurrenceCount: 5
occurrenceOperatorType: less_than_equal_to
description: Made by Pulumi
Create Dataprofile Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new Dataprofile(name: string, args: DataprofileArgs, opts?: CustomResourceOptions);
@overload
def Dataprofile(resource_name: str,
args: DataprofileArgs,
opts: Optional[ResourceOptions] = None)
@overload
def Dataprofile(resource_name: str,
opts: Optional[ResourceOptions] = None,
data_patterns_rule1: Optional[DataprofileDataPatternsRule1Args] = None,
dataprofile_id: Optional[str] = None,
description: Optional[str] = None,
name: Optional[str] = None,
profile_status: Optional[str] = None,
profile_type: Optional[str] = None,
status: Optional[str] = None,
types: Optional[str] = None)
func NewDataprofile(ctx *Context, name string, args DataprofileArgs, opts ...ResourceOption) (*Dataprofile, error)
public Dataprofile(string name, DataprofileArgs args, CustomResourceOptions? opts = null)
public Dataprofile(String name, DataprofileArgs args)
public Dataprofile(String name, DataprofileArgs args, CustomResourceOptions options)
type: prismacloud:Dataprofile
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.
Parameters
- name string
- The unique name of the resource.
- args DataprofileArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- resource_name str
- The unique name of the resource.
- args DataprofileArgs
- The arguments to resource properties.
- opts ResourceOptions
- Bag of options to control resource's behavior.
- ctx Context
- Context object for the current deployment.
- name string
- The unique name of the resource.
- args DataprofileArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args DataprofileArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args DataprofileArgs
- The arguments to resource properties.
- options CustomResourceOptions
- Bag of options to control resource's behavior.
Constructor example
The following reference example uses placeholder values for all input properties.
var dataprofileResource = new Prismacloud.Dataprofile("dataprofileResource", new()
{
DataPatternsRule1 = new Prismacloud.Inputs.DataprofileDataPatternsRule1Args
{
DataPatternRules = new[]
{
new Prismacloud.Inputs.DataprofileDataPatternsRule1DataPatternRuleArgs
{
ConfidenceLevel = "string",
MatchType = "string",
Name = "string",
OccurrenceOperatorType = "string",
DetectionTechnique = "string",
OccurrenceCount = 0,
OccurrenceHigh = 0,
OccurrenceLow = 0,
PatternId = "string",
SupportedConfidenceLevels = new[]
{
"string",
},
},
},
OperatorType = "string",
},
DataprofileId = "string",
Description = "string",
Name = "string",
ProfileStatus = "string",
ProfileType = "string",
Status = "string",
Types = "string",
});
example, err := prismacloud.NewDataprofile(ctx, "dataprofileResource", &prismacloud.DataprofileArgs{
DataPatternsRule1: &prismacloud.DataprofileDataPatternsRule1Args{
DataPatternRules: prismacloud.DataprofileDataPatternsRule1DataPatternRuleArray{
&prismacloud.DataprofileDataPatternsRule1DataPatternRuleArgs{
ConfidenceLevel: pulumi.String("string"),
MatchType: pulumi.String("string"),
Name: pulumi.String("string"),
OccurrenceOperatorType: pulumi.String("string"),
DetectionTechnique: pulumi.String("string"),
OccurrenceCount: pulumi.Float64(0),
OccurrenceHigh: pulumi.Float64(0),
OccurrenceLow: pulumi.Float64(0),
PatternId: pulumi.String("string"),
SupportedConfidenceLevels: pulumi.StringArray{
pulumi.String("string"),
},
},
},
OperatorType: pulumi.String("string"),
},
DataprofileId: pulumi.String("string"),
Description: pulumi.String("string"),
Name: pulumi.String("string"),
ProfileStatus: pulumi.String("string"),
ProfileType: pulumi.String("string"),
Status: pulumi.String("string"),
Types: pulumi.String("string"),
})
var dataprofileResource = new Dataprofile("dataprofileResource", DataprofileArgs.builder()
.dataPatternsRule1(DataprofileDataPatternsRule1Args.builder()
.dataPatternRules(DataprofileDataPatternsRule1DataPatternRuleArgs.builder()
.confidenceLevel("string")
.matchType("string")
.name("string")
.occurrenceOperatorType("string")
.detectionTechnique("string")
.occurrenceCount(0)
.occurrenceHigh(0)
.occurrenceLow(0)
.patternId("string")
.supportedConfidenceLevels("string")
.build())
.operatorType("string")
.build())
.dataprofileId("string")
.description("string")
.name("string")
.profileStatus("string")
.profileType("string")
.status("string")
.types("string")
.build());
dataprofile_resource = prismacloud.Dataprofile("dataprofileResource",
data_patterns_rule1={
"data_pattern_rules": [{
"confidence_level": "string",
"match_type": "string",
"name": "string",
"occurrence_operator_type": "string",
"detection_technique": "string",
"occurrence_count": 0,
"occurrence_high": 0,
"occurrence_low": 0,
"pattern_id": "string",
"supported_confidence_levels": ["string"],
}],
"operator_type": "string",
},
dataprofile_id="string",
description="string",
name="string",
profile_status="string",
profile_type="string",
status="string",
types="string")
const dataprofileResource = new prismacloud.Dataprofile("dataprofileResource", {
dataPatternsRule1: {
dataPatternRules: [{
confidenceLevel: "string",
matchType: "string",
name: "string",
occurrenceOperatorType: "string",
detectionTechnique: "string",
occurrenceCount: 0,
occurrenceHigh: 0,
occurrenceLow: 0,
patternId: "string",
supportedConfidenceLevels: ["string"],
}],
operatorType: "string",
},
dataprofileId: "string",
description: "string",
name: "string",
profileStatus: "string",
profileType: "string",
status: "string",
types: "string",
});
type: prismacloud:Dataprofile
properties:
dataPatternsRule1:
dataPatternRules:
- confidenceLevel: string
detectionTechnique: string
matchType: string
name: string
occurrenceCount: 0
occurrenceHigh: 0
occurrenceLow: 0
occurrenceOperatorType: string
patternId: string
supportedConfidenceLevels:
- string
operatorType: string
dataprofileId: string
description: string
name: string
profileStatus: string
profileType: string
status: string
types: string
Dataprofile Resource Properties
To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.
Inputs
In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.
The Dataprofile resource accepts the following input properties:
- Data
Patterns DataprofileRule1 Data Patterns Rule1 - Model for DataProfile Rules, as defined below.
- Dataprofile
Id string - Description string
- Profile description.
- Name string
- Profile Name.
- Profile
Status string - Profile status. Valid values are
active
(default), ordisabled
. - Profile
Type string - Profile Type. Valid values are
custom
(default), orsystem
. - Status string
- Status. Valid values are
non_hidden
(default), orhidden
. - Types string
- Type. Valid values are
basic
(default), oradvance
.
- Data
Patterns DataprofileRule1 Data Patterns Rule1Args - Model for DataProfile Rules, as defined below.
- Dataprofile
Id string - Description string
- Profile description.
- Name string
- Profile Name.
- Profile
Status string - Profile status. Valid values are
active
(default), ordisabled
. - Profile
Type string - Profile Type. Valid values are
custom
(default), orsystem
. - Status string
- Status. Valid values are
non_hidden
(default), orhidden
. - Types string
- Type. Valid values are
basic
(default), oradvance
.
- data
Patterns DataprofileRule1 Data Patterns Rule1 - Model for DataProfile Rules, as defined below.
- dataprofile
Id String - description String
- Profile description.
- name String
- Profile Name.
- profile
Status String - Profile status. Valid values are
active
(default), ordisabled
. - profile
Type String - Profile Type. Valid values are
custom
(default), orsystem
. - status String
- Status. Valid values are
non_hidden
(default), orhidden
. - types String
- Type. Valid values are
basic
(default), oradvance
.
- data
Patterns DataprofileRule1 Data Patterns Rule1 - Model for DataProfile Rules, as defined below.
- dataprofile
Id string - description string
- Profile description.
- name string
- Profile Name.
- profile
Status string - Profile status. Valid values are
active
(default), ordisabled
. - profile
Type string - Profile Type. Valid values are
custom
(default), orsystem
. - status string
- Status. Valid values are
non_hidden
(default), orhidden
. - types string
- Type. Valid values are
basic
(default), oradvance
.
- data_
patterns_ Dataprofilerule1 Data Patterns Rule1Args - Model for DataProfile Rules, as defined below.
- dataprofile_
id str - description str
- Profile description.
- name str
- Profile Name.
- profile_
status str - Profile status. Valid values are
active
(default), ordisabled
. - profile_
type str - Profile Type. Valid values are
custom
(default), orsystem
. - status str
- Status. Valid values are
non_hidden
(default), orhidden
. - types str
- Type. Valid values are
basic
(default), oradvance
.
- data
Patterns Property MapRule1 - Model for DataProfile Rules, as defined below.
- dataprofile
Id String - description String
- Profile description.
- name String
- Profile Name.
- profile
Status String - Profile status. Valid values are
active
(default), ordisabled
. - profile
Type String - Profile Type. Valid values are
custom
(default), orsystem
. - status String
- Status. Valid values are
non_hidden
(default), orhidden
. - types String
- Type. Valid values are
basic
(default), oradvance
.
Outputs
All input properties are implicitly available as output properties. Additionally, the Dataprofile resource produces the following output properties:
- created_
at str - Created at (unix time).
- created_
by str - Created by.
- id str
- The provider-assigned unique ID for this managed resource.
- profile_
id str - Profile ID.
- tenant_
id str - Tenant ID.
- updated_
at str - Updated at (unix time).
- updated_
by str - Updated by.
Look up Existing Dataprofile Resource
Get an existing Dataprofile resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.
public static get(name: string, id: Input<ID>, state?: DataprofileState, opts?: CustomResourceOptions): Dataprofile
@staticmethod
def get(resource_name: str,
id: str,
opts: Optional[ResourceOptions] = None,
created_at: Optional[str] = None,
created_by: Optional[str] = None,
data_patterns_rule1: Optional[DataprofileDataPatternsRule1Args] = None,
dataprofile_id: Optional[str] = None,
description: Optional[str] = None,
name: Optional[str] = None,
profile_id: Optional[str] = None,
profile_status: Optional[str] = None,
profile_type: Optional[str] = None,
status: Optional[str] = None,
tenant_id: Optional[str] = None,
types: Optional[str] = None,
updated_at: Optional[str] = None,
updated_by: Optional[str] = None) -> Dataprofile
func GetDataprofile(ctx *Context, name string, id IDInput, state *DataprofileState, opts ...ResourceOption) (*Dataprofile, error)
public static Dataprofile Get(string name, Input<string> id, DataprofileState? state, CustomResourceOptions? opts = null)
public static Dataprofile get(String name, Output<String> id, DataprofileState state, CustomResourceOptions options)
resources: _: type: prismacloud:Dataprofile get: id: ${id}
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- resource_name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- Created
At string - Created at (unix time).
- Created
By string - Created by.
- Data
Patterns DataprofileRule1 Data Patterns Rule1 - Model for DataProfile Rules, as defined below.
- Dataprofile
Id string - Description string
- Profile description.
- Name string
- Profile Name.
- Profile
Id string - Profile ID.
- Profile
Status string - Profile status. Valid values are
active
(default), ordisabled
. - Profile
Type string - Profile Type. Valid values are
custom
(default), orsystem
. - Status string
- Status. Valid values are
non_hidden
(default), orhidden
. - Tenant
Id string - Tenant ID.
- Types string
- Type. Valid values are
basic
(default), oradvance
. - Updated
At string - Updated at (unix time).
- Updated
By string - Updated by.
- Created
At string - Created at (unix time).
- Created
By string - Created by.
- Data
Patterns DataprofileRule1 Data Patterns Rule1Args - Model for DataProfile Rules, as defined below.
- Dataprofile
Id string - Description string
- Profile description.
- Name string
- Profile Name.
- Profile
Id string - Profile ID.
- Profile
Status string - Profile status. Valid values are
active
(default), ordisabled
. - Profile
Type string - Profile Type. Valid values are
custom
(default), orsystem
. - Status string
- Status. Valid values are
non_hidden
(default), orhidden
. - Tenant
Id string - Tenant ID.
- Types string
- Type. Valid values are
basic
(default), oradvance
. - Updated
At string - Updated at (unix time).
- Updated
By string - Updated by.
- created
At String - Created at (unix time).
- created
By String - Created by.
- data
Patterns DataprofileRule1 Data Patterns Rule1 - Model for DataProfile Rules, as defined below.
- dataprofile
Id String - description String
- Profile description.
- name String
- Profile Name.
- profile
Id String - Profile ID.
- profile
Status String - Profile status. Valid values are
active
(default), ordisabled
. - profile
Type String - Profile Type. Valid values are
custom
(default), orsystem
. - status String
- Status. Valid values are
non_hidden
(default), orhidden
. - tenant
Id String - Tenant ID.
- types String
- Type. Valid values are
basic
(default), oradvance
. - updated
At String - Updated at (unix time).
- updated
By String - Updated by.
- created
At string - Created at (unix time).
- created
By string - Created by.
- data
Patterns DataprofileRule1 Data Patterns Rule1 - Model for DataProfile Rules, as defined below.
- dataprofile
Id string - description string
- Profile description.
- name string
- Profile Name.
- profile
Id string - Profile ID.
- profile
Status string - Profile status. Valid values are
active
(default), ordisabled
. - profile
Type string - Profile Type. Valid values are
custom
(default), orsystem
. - status string
- Status. Valid values are
non_hidden
(default), orhidden
. - tenant
Id string - Tenant ID.
- types string
- Type. Valid values are
basic
(default), oradvance
. - updated
At string - Updated at (unix time).
- updated
By string - Updated by.
- created_
at str - Created at (unix time).
- created_
by str - Created by.
- data_
patterns_ Dataprofilerule1 Data Patterns Rule1Args - Model for DataProfile Rules, as defined below.
- dataprofile_
id str - description str
- Profile description.
- name str
- Profile Name.
- profile_
id str - Profile ID.
- profile_
status str - Profile status. Valid values are
active
(default), ordisabled
. - profile_
type str - Profile Type. Valid values are
custom
(default), orsystem
. - status str
- Status. Valid values are
non_hidden
(default), orhidden
. - tenant_
id str - Tenant ID.
- types str
- Type. Valid values are
basic
(default), oradvance
. - updated_
at str - Updated at (unix time).
- updated_
by str - Updated by.
- created
At String - Created at (unix time).
- created
By String - Created by.
- data
Patterns Property MapRule1 - Model for DataProfile Rules, as defined below.
- dataprofile
Id String - description String
- Profile description.
- name String
- Profile Name.
- profile
Id String - Profile ID.
- profile
Status String - Profile status. Valid values are
active
(default), ordisabled
. - profile
Type String - Profile Type. Valid values are
custom
(default), orsystem
. - status String
- Status. Valid values are
non_hidden
(default), orhidden
. - tenant
Id String - Tenant ID.
- types String
- Type. Valid values are
basic
(default), oradvance
. - updated
At String - Updated at (unix time).
- updated
By String - Updated by.
Supporting Types
DataprofileDataPatternsRule1, DataprofileDataPatternsRule1Args
- Data
Pattern List<DataprofileRules Data Patterns Rule1Data Pattern Rule> - List of DataPattern Rules. Each item has data-pattern information, as defined below.
- Operator
Type string - Pattern operator type. Default:
or
.
- Data
Pattern []DataprofileRules Data Patterns Rule1Data Pattern Rule - List of DataPattern Rules. Each item has data-pattern information, as defined below.
- Operator
Type string - Pattern operator type. Default:
or
.
- data
Pattern List<DataprofileRules Data Patterns Rule1Data Pattern Rule> - List of DataPattern Rules. Each item has data-pattern information, as defined below.
- operator
Type String - Pattern operator type. Default:
or
.
- data
Pattern DataprofileRules Data Patterns Rule1Data Pattern Rule[] - List of DataPattern Rules. Each item has data-pattern information, as defined below.
- operator
Type string - Pattern operator type. Default:
or
.
- data_
pattern_ Sequence[Dataprofilerules Data Patterns Rule1Data Pattern Rule] - List of DataPattern Rules. Each item has data-pattern information, as defined below.
- operator_
type str - Pattern operator type. Default:
or
.
- data
Pattern List<Property Map>Rules - List of DataPattern Rules. Each item has data-pattern information, as defined below.
- operator
Type String - Pattern operator type. Default:
or
.
DataprofileDataPatternsRule1DataPatternRule, DataprofileDataPatternsRule1DataPatternRuleArgs
- Confidence
Level string - Confidence level.
- Match
Type string - Match type. Valid values are
include
, orexclude
. - Name string
- Pattern name.
- Occurrence
Operator stringType - Occurrence operator type. Valid values are
any
,more_than_equal_to
,less_than_equal_to
, orbetween
. - Detection
Technique string - Detection technique.
- Occurrence
Count double - Occurrence count. Value must be a number between
1
and250
. - Occurrence
High double - High occurrence value. Value must be a number between
1
and250
. - Occurrence
Low double - Low occurrence value. Value must be a number between
1
and250
. - Pattern
Id string - Pattern ID.
- Supported
Confidence List<string>Levels - List of supported confidence levels.
- Confidence
Level string - Confidence level.
- Match
Type string - Match type. Valid values are
include
, orexclude
. - Name string
- Pattern name.
- Occurrence
Operator stringType - Occurrence operator type. Valid values are
any
,more_than_equal_to
,less_than_equal_to
, orbetween
. - Detection
Technique string - Detection technique.
- Occurrence
Count float64 - Occurrence count. Value must be a number between
1
and250
. - Occurrence
High float64 - High occurrence value. Value must be a number between
1
and250
. - Occurrence
Low float64 - Low occurrence value. Value must be a number between
1
and250
. - Pattern
Id string - Pattern ID.
- Supported
Confidence []stringLevels - List of supported confidence levels.
- confidence
Level String - Confidence level.
- match
Type String - Match type. Valid values are
include
, orexclude
. - name String
- Pattern name.
- occurrence
Operator StringType - Occurrence operator type. Valid values are
any
,more_than_equal_to
,less_than_equal_to
, orbetween
. - detection
Technique String - Detection technique.
- occurrence
Count Double - Occurrence count. Value must be a number between
1
and250
. - occurrence
High Double - High occurrence value. Value must be a number between
1
and250
. - occurrence
Low Double - Low occurrence value. Value must be a number between
1
and250
. - pattern
Id String - Pattern ID.
- supported
Confidence List<String>Levels - List of supported confidence levels.
- confidence
Level string - Confidence level.
- match
Type string - Match type. Valid values are
include
, orexclude
. - name string
- Pattern name.
- occurrence
Operator stringType - Occurrence operator type. Valid values are
any
,more_than_equal_to
,less_than_equal_to
, orbetween
. - detection
Technique string - Detection technique.
- occurrence
Count number - Occurrence count. Value must be a number between
1
and250
. - occurrence
High number - High occurrence value. Value must be a number between
1
and250
. - occurrence
Low number - Low occurrence value. Value must be a number between
1
and250
. - pattern
Id string - Pattern ID.
- supported
Confidence string[]Levels - List of supported confidence levels.
- confidence_
level str - Confidence level.
- match_
type str - Match type. Valid values are
include
, orexclude
. - name str
- Pattern name.
- occurrence_
operator_ strtype - Occurrence operator type. Valid values are
any
,more_than_equal_to
,less_than_equal_to
, orbetween
. - detection_
technique str - Detection technique.
- occurrence_
count float - Occurrence count. Value must be a number between
1
and250
. - occurrence_
high float - High occurrence value. Value must be a number between
1
and250
. - occurrence_
low float - Low occurrence value. Value must be a number between
1
and250
. - pattern_
id str - Pattern ID.
- supported_
confidence_ Sequence[str]levels - List of supported confidence levels.
- confidence
Level String - Confidence level.
- match
Type String - Match type. Valid values are
include
, orexclude
. - name String
- Pattern name.
- occurrence
Operator StringType - Occurrence operator type. Valid values are
any
,more_than_equal_to
,less_than_equal_to
, orbetween
. - detection
Technique String - Detection technique.
- occurrence
Count Number - Occurrence count. Value must be a number between
1
and250
. - occurrence
High Number - High occurrence value. Value must be a number between
1
and250
. - occurrence
Low Number - Low occurrence value. Value must be a number between
1
and250
. - pattern
Id String - Pattern ID.
- supported
Confidence List<String>Levels - List of supported confidence levels.
Import
Resources can be imported using the data profile ID:
$ pulumi import prismacloud:index/dataprofile:Dataprofile example 11111111
To learn more about importing existing cloud resources, see Importing resources.
Package Details
- Repository
- prismacloud paloaltonetworks/terraform-provider-prismacloud
- License
- Notes
- This Pulumi package is based on the
prismacloud
Terraform Provider.