Lettria GDPR Compliance (Preview)
Lettria GDPR Compliance helps your organization comply to GDPR by analyzing text data within your softwares and points outs compliance issues (such as personal data, offensive or subjective comments and more).
This connector is available in the following products and regions:
| Service | Class | Regions |
|---|---|---|
| Logic Apps | Standard | All Logic Apps regions except the following: - Azure Government regions - Azure China regions - US Department of Defense (DoD) |
| Power Automate | Premium | All Power Automate regions except the following: - US Government (GCC) - US Government (GCC High) - China Cloud operated by 21Vianet - US Department of Defense (DoD) |
| Power Apps | Premium | All Power Apps regions except the following: - US Government (GCC) - US Government (GCC High) - China Cloud operated by 21Vianet - US Department of Defense (DoD) |
| Contact | |
|---|---|
| Name | victor |
| URL | https://lettria.com |
| [email protected] |
| Connector Metadata | |
|---|---|
| Publisher | lettria |
| Website | https://lettria.com |
| Privacy policy | https://lettria.com/fr/politique-confidentialite |
| Categories | AI;Data |
Lettria GDPR monitoring connector helps your organization remain compliant to European Regulation by analyzing your free comment sections in your Microsoft apps and identify non-compliant data. We leverage our expertise in Natural Language Processing and Deep Learning to automatically real-time monitor each new comment insert and point out inappropriate comments, sensitive data as well as client contact information.
Prerequisites
You will need a Lettria account to be able to use this connector and build workflows with it. Also, you will need a token from a project to be authenticated.
How to get credentials?
- Create a Lettria account online at https://app.lettria.com/
- Send a message to [email protected] asking for a GDPR plan, our team will get back to you within the next 24 hours with billing details.
- Once you’ve subscribed to your plan, you’ll be able to generate a token to use for the connector.
Known issues and limitations
- Our connector only works for French. Should we detect another language, the moderation tool will not be applied. Don’t worry, we’re currently expanding our services to new languages (English, German, Spanish). Stay tuned to get more details on our next releases !
- Our connector and moderation rules can me customized according to your specific needs and industry. Please feel free to get in touch with [email protected] to tell us more about your business requirements.
Creating a connection
The connector supports the following authentication types:
| Default | Parameters for creating connection. | All regions | Not shareable |
Default
Applicable: All regions
Parameters for creating connection.
This is not shareable connection. If the power app is shared with another user, another user will be prompted to create new connection explicitly.
| Name | Type | Description | Required |
|---|---|---|---|
| API Key | securestring | The API Key for this api | True |
Throttling Limits
| Name | Calls | Renewal Period |
|---|---|---|
| API calls per connection | 100 | 60 seconds |
Actions
| Analyze GDPR Compliance |
Lettria GDPR Compliance analyzes all the text data within your Microsoft apps and raises GDPR non-compliance issues. |
Analyze GDPR Compliance
Lettria GDPR Compliance analyzes all the text data within your Microsoft apps and raises GDPR non-compliance issues.
Parameters
| Name | Key | Required | Type | Description |
|---|---|---|---|---|
|
Text to analyze
|
text | True | string |
Text to analyze GDPR Compliance from. |
Returns
| Name | Path | Type | Description |
|---|---|---|---|
|
Compliance string
|
decision | string |
Compliance as a string. |
|
Detected dictionaries
|
dico | array of |
All detected dictionaries. |
|
All extracted patterns
|
pattern | array of object |
All extracted patterns. |
|
Pattern source
|
pattern.source | string |
Text source of the pattern. |
|
Pattern type
|
pattern.type | string |
Type of the pattern. |
|
Pattern index in sentence
|
pattern.target | integer |
Pattern index inside it's sentence. |
|
Pattern sentence index
|
pattern.sentence_index | integer |
Pattern sentence index. |
|
All compliant patterns
|
pattern_ok | array of object |
All compliant patterns. |
|
Pattern source
|
pattern_ok.source | string |
Text source of the pattern. |
|
Pattern type
|
pattern_ok.type | string |
Type of the pattern. |
|
Pattern index in sentence
|
pattern_ok.target | integer |
Pattern index inside it's sentence. |
|
Pattern sentence index
|
pattern_ok.sentence_index | integer |
Pattern sentence index. |
|
All non-compliant patterns
|
pattern_bad | array of object |
All non-compliant patterns. |
|
Pattern source
|
pattern_bad.source | string |
Text source of the pattern. |
|
Pattern type
|
pattern_bad.type | string |
Type of the pattern. |
|
Pattern index in sentence
|
pattern_bad.target | integer |
Pattern index inside it's sentence. |
|
Pattern sentence index
|
pattern_bad.sentence_index | integer |
Pattern sentence index. |
|
Problems as an object list
|
problems | array of object |
Problems as a list of objects. |
|
Problem source
|
problems.source | string |
Text source of the problem. |
|
Problem type
|
problems.type | string |
Type of the problem. |
|
Problem index
|
problems.target | integer |
Problem index inside it's sentence. |
|
Problem sentence index
|
problems.sentence_index | integer |
Problem sentence index. |
|
Problem types strings
|
problems_list | array of string |
Problems types as a list of strings. |
|
Problem types string
|
problems_string | string |
Problems as a string. |
|
Compliance boolean
|
conformite | boolean |
Compliance as a boolean. |