From 9005f336bc125d0f754649ef4b1d874cab292b52 Mon Sep 17 00:00:00 2001 From: Dawn Pattison Date: Fri, 23 Sep 2022 12:24:23 -0500 Subject: [PATCH 1/4] First draft of request execution docs. --- .../docs/guides/email_communications.md | 2 +- .../fidesops/docs/guides/fidesops_workflow.md | 206 ++++++++++++++++++ docs/fidesops/docs/guides/policy_webhooks.md | 10 +- docs/fidesops/docs/guides/query_execution.md | 2 +- docs/fidesops/docs/img/access_execution.png | Bin 0 -> 45094 bytes docs/fidesops/docs/img/access_graph.png | Bin 0 -> 105901 bytes docs/fidesops/docs/img/erasure_graph.png | Bin 0 -> 71915 bytes 7 files changed, 216 insertions(+), 4 deletions(-) create mode 100644 docs/fidesops/docs/guides/fidesops_workflow.md create mode 100644 docs/fidesops/docs/img/access_execution.png create mode 100644 docs/fidesops/docs/img/access_graph.png create mode 100644 docs/fidesops/docs/img/erasure_graph.png diff --git a/docs/fidesops/docs/guides/email_communications.md b/docs/fidesops/docs/guides/email_communications.md index ede01a7c3..ead151cf7 100644 --- a/docs/fidesops/docs/guides/email_communications.md +++ b/docs/fidesops/docs/guides/email_communications.md @@ -61,7 +61,7 @@ Fidesops currently supports Mailgun for email integrations. Ensure you register |---|----| | `mailgun_api_key` | Your Mailgun Domain Sending Key. | -## Email third-party services +## Email third party services to mask data Once your email server is configured, you can create an email connector to send automatic erasure requests to third-party services. Fidesops will gather details about each collection described in the connector, and send a single email to the service after all collections have been visited. diff --git a/docs/fidesops/docs/guides/fidesops_workflow.md b/docs/fidesops/docs/guides/fidesops_workflow.md new file mode 100644 index 000000000..480138b10 --- /dev/null +++ b/docs/fidesops/docs/guides/fidesops_workflow.md @@ -0,0 +1,206 @@ +# Fidesops Privacy Request Execution + +When a [Privacy Request](privacy_requests.md) is submitted, fidesops first performs some prerequisite checks, and +then visits your Collections in a largely automated way in two passes: first retrieving relevant data +for the subject across all your Collections and then optionally masking data for the subject. + + +## Privacy Request Submission + +When a user submits a request to fidesops to access or erase their data, fidesops first creates records +to store the relevant information, verifies the user's identity, and notifies relevant parties. + +If applicable, these steps must be completed before the privacy request is queued for execution: + +- Persist Step + - Fidesops creates a PrivacyRequest in long-term storage to capture high-level information such as the date created and its current status. + - Fidesops saves the identity of the subject to both short- and long-term storage. +- Verify Step + - If configured, Fidesops sends an email to the user to verify their identity before proceeding. +- Notify Step + - If configured, the user will receive an email verifying we've received their request. +- Approve Step + - If configured, Fidesops may require a system administrator to approve the request before proceeding. + + + +## Privacy Request Execution + +Once the prerequisite steps above have been completed, the privacy request is moved to `in_processing` status +and is dispatched to a separate queue for processing. Request execution involves gathering data from multiple +sources and/or masking data in multiple locations by following the steps below, skipping steps +if they are not applicable for the given request: + + 1. Manual Webhooks Step + 2. Policy Pre-Execution Webhooks Step + 3. Access Request Step + 4. Upload Access Results Step + 5. Erasure Request Step + 6. Email Erasure Requests Step + 7. Policy Post-Execution Webhooks Step + 8. Follow-up Email Notification Step + +###1) Manual Webhooks Step + +Manual webhooks allow a fidesops admin to manually upload data pertaining to a subject. If manual webhooks are +configured and we don't have a data submissions for all webhooks, request execution will exit with a status of `requires_input`. + +Fidesops admins should separately upload data for each webhook, or a blank response if no data is found. The privacy +request can then be resumed, and request execution will continue from this step. See [Manual Webhooks](manual_webhooks.md) for more information +on configuring manual webhooks and resuming a `requires_input` request. + +Data uploaded for manual webhooks will be returned to the data subject directly at the end of request execution. Data +gathered here is not used to locate data from other sources. + +### 2) Policy Pre-Execution Webhooks Step + +Policy Pre-Execution Webhooks let your system take care of prerequisite tasks or locate additional subject identities +for the data subject. Examples might be turning on a specific database in your infrastructure or locating a phone number for a subject +from a table for which you do not want to give Fidesops direct access. Configuration will involve defining endpoint(s) for fidesops to call in order. +See [Policy Webhooks](policy_webhooks.md) for more details. + +Fidesops will send a request to each previously configured webhook with a specific request body defined in [Policy +Webhooks Request Format](policy_webhooks.md#Policy-Webhook-request-format) which your endpoints should be prepared to unpack. +If you need more time to carry out an action on your end, your webhook can instruct Fidesops to `halt`, which will cause +execution to exit with a status of `paused`. Request execution can be continued when ready using a token that was +supplied in the original request. + +No data uploaded by Policy Webhooks is returned to the data subject, but identities discovered can be used +to later locate data pertaining to the subject in the Access Request Step. + +If a request to a pre-execution webhook fails, request execution will exit with a status of `error`. Retrying +the privacy request will resume from this step and attempt to re-run all the pre-execution webhooks. + + +### 3) Access Request Step + +The automated Access Request Step is performed regardless of whether there are Access or Erasure Rules defined, since +both Rules require this data. See here to [Configure Policies, Rules, and Rule Targets](policies.md). This step visits all Collections and retrieves +all Fields that you've defined in your [Datasets](datasets.md). We build a graph in accordance with how you've designated your Collections are related, +visit each Collection in turn, and end by gathering all the results together. + +#### Graph building +Fidesops builds a DAG (Directed Acyclic Graph) from all Collections within your enabled Datasets. In other words, each location or node on the graph +corresponds to a Collection in one of your Datasets. The graph helps determine the order in which nodes will be visited. +We start with any Collections that we can query just using the identity data, and then point those Collections toward +dependent Collections that need data from the current Collection and so on. If fidesops can't figure out how to +reach a Collection, it will exit early with a status of `error`. To remedy, you will have to +how your Collections are related to each other in your Datasets and resubmit the privacy request. +![Access Graph](../img/access_graph.png) + +#### Graph Execution +After the graph is built, we pass this to Dask to execute (sequentially). We visit one Collection at a time, following +the graph specified above, and use Dask to determine ordering for tiebreakers. For the first Collections in the graph connected to the root, +we use just the customers' identity to locate subject data, by 1) making database queries or 2) making HTTP requests to a +configured API endpoint. The details on how to access your data are determined by the [ConnectionConfig](connection_types.md) type. We retrieve all Fields that have been configured on the Collection. We cache the results in +temporary storage in multiple formats for usage later. We then pass the results of that Collection to downstream +Collections that similarly make queries, temporarily cache the results, and return their results to their own downstream Collections. +A Collection isn't visited until we have searched for data across all of its upstream Collections. We continue until all Collections have been visited. See [Query Execution](query_execution.md) for more information. + +![Access Execution](../img/access_execution.png) + + +If there is a failure trying to retrieve data on any Collections, the request is retried the configured number of times +until the request exits with status `error`. Both the step (`access`) and errored Collection are cached in temporary storage. +Restarting the privacy request will restart from this step and failed Collection. Collections that have already been visited will not be visited again. + +### Final result retrieval +The final step of the Access Request Step is gathering all the results for each Collection from temporary storage. + + +### 4) Upload Access Results Step + +If configured, Fidesops then takes the results retrieved from the Access Request Step and uploads the data for the data subject. + +For each configured Access Rule, we filter the graph results to match targeted Data Categories. See [Datasets](datasets.md) for more details. +We also supplement the results with any data manually uploaded earlier in the Manual Webhooks step. Each data package is uploaded in JSON +or CSV format to a specified storage location like Amazon S3. See [Storage](storage.md) for more information. + + +### 5) Erasure Request Step + +If applicable, meaning there are Erasure [Rules](policies.md#Rule-attributes) configured on this Policy, we build a simpler graph +than the graph used for Access requests, and visit each Collection in turn, performing masking requests as necessary. + +#### Graph building +The "graph" for an Erasure is hardly a graph. We already have the data from the Access Request step in temporary storage which can +be used to locate data for each Collection individually. Each Collection could technically be visited in any order or +run in parallel. The graph is configured so each Collection has its previous Access Request results passed in as inputs, +and each Collection returns a count of records masked, when complete. + +![Erasure Graph](../img/erasure_graph.png) + +#### Graph execution +We visit each Collection sequentially using a deterministic order set by Dask. For each row of data retrieved +in the Access Request step, we attempt to mask the data targeting the fields you've specified on the Policy, +also using the [Masking Strategies](masking_strategies.md) you've defined. If no rows exist from the Access Request Step +or no Fields on that Collection match the targeted Data Categories, no masking occurs. We cache a count of the records +that had fields masked in temporary storage. The request to mask might involve an `update` database query or an `update` or `delete` +HTTP request depending on the [ConnectionConfig Type](connection_types.md). + + +The Email Connector type doesn't mask any data itself, but instead persists how to locate and mask that Collection in temporary storage +for use later. + + +If masking fails on a given Collection, Fidesops retries the requests for a configured number of times, and then request execution will +exit with a status of `error`. Fidesops will cache both the failed Collection and the fact that we failed on the `erasure` step. +Retrying the privacy request will resume from the `Erasure` step at the failed Collection. Previously masked Collections will +not be masked again. + + +### 6) Make Erasure Requests via Email Step + +After both Access and Erasure steps have executed, we check if we have any third parties that need to be additionally emailed +to complete Erasure requests on your behalf. See [Email third party services to mask data](email_communications.md#Email-third-party-services-to-mask-data) +for more information. + +We retrieve any masking instructions cached by EmailConnectors in the Erasure Request step and combine into a single +email per Dataset. + +This step is only performed if you have EmailConnectors configured. If the email send fails for some reason, the request +will exit with status `error`. We will cache this step in temporary storage, so retrying the request will resume from this point. + + +### 7) Policy Post-Execution Webhooks Step + +After automated Access and Erasures steps have completed, Policy Post Execution Webhooks can be used to perform any +cleanup steps in your system. Examples might be setting up a webhook on your end to shut down a database or delete user data +from a source you don't want Fidesops to access directly. Post-Execution webhooks are more limited than Pre-Execution +Webhooks. They currently cannot pause the graph. These should just be configured as a series of API endpoints +you'd like Fidesops to call. See [Policy Webhooks](policy_webhooks.md) for more details on configuration. + +If a request to a post-execution webhook fails, request execution will exit with a status of `error`. Retrying +the privacy request will resume from this step and attempt to re-run all the Post-Execution webhooks. + + +### 8) Followup Email Notification Step + +If configured, we will send a followup email to the data subject to let them know their request +has finished processing. For Access Rules, the emails will contain links to where the data subject +can retrieve data. For Erasure Rules, the emails will simplify notify that their Privacy Request is complete. + +Request execution should then exit with status `complete`. + + +## Worth Noting + +- We use Redis as temporary storage to support executing your request. We temporarily store things like the data +automatically retrieved from each Collection, manually uploaded data, and details about where the Privacy Request may +be paused or where it failed. This information will expire in accordance with the `FIDESOPS__REDIS__DEFAULT_TTL_SECONDS` setting. +- Fidesops current execution strategy prioritizes being able to erase as many of the original Collections requested as possible. If we mask +some Collections and then we have a failure, current logic lets us mask the original remaining Collections +using the temporarily saved data we retrieved in the original Access Step, instead of re-querying the Collections to figure +out which data we should mask. Once data is masked in one Collection, it could potentially prevent us from being able to +locate data in downstream Collections, so we opt to use our temporarily stored data. + - The side effect is that data added in the interim or data related to newly added Collections can be missed. + - If the Access Step fails part of the way through, a new Collection is added, and then the request is restarted from failure, + we are potentially missing data from already completed Collections downstream, plus any Collections further downstream of that set. + - If the Erasure Step fails, a new Collection is added, and the request is restarted from failure, we potentially miss masking data from the new + Collection and data downstream of the new Collection. +- Nodes on the graph correspond to individual Collections within Datasets, not Datasets. The graph built may result in Fidesops +visiting a Collection in one Dataset to be able to find data on a Collection in a separate Dataset, which is used to find +data on a Collection in the original Dataset. +- The Access Request Step often selects more Fields than may be returned specifically to the user because this data has multiple uses. +We select all Fields defined to be able to potentially query downstream Collections, filter data according to multiple Access Rules, +and mask data in accordance with multiple Erasure Rules. diff --git a/docs/fidesops/docs/guides/policy_webhooks.md b/docs/fidesops/docs/guides/policy_webhooks.md index 623a56cd3..7ef9b8847 100644 --- a/docs/fidesops/docs/guides/policy_webhooks.md +++ b/docs/fidesops/docs/guides/policy_webhooks.md @@ -48,10 +48,16 @@ See API docs on how to [Set a ConnectionConfig's Secrets](/fidesops/api#operatio ```json title="PUT /v1/connection/test_webhook_connection_config" { "url": "https://www.example.com", - "authorization": "test_authorization" + "authorization": "Bearer test_38234823482348" } ``` +Note that the authorization secret specified here will be added directly to an authorization header when fidesops later +makes a call to the configured webhook: +```json +{"Authorization": "Bearer test_38234823482348"} +``` + ### Define pre-execution or post-execution webhooks After you've defined a `ConnectionConfig`, you can create lists of webhooks to run *before* (`PolicyPreWebhooks`) @@ -141,7 +147,7 @@ PATCH /policy/{policy_key}/webhook/post_execution/{post_execution_key} See API docs for more information on how to [PATCH a PolicyPreWebhook](/fidesops/api#operations-Policy_Webhooks-update_pre_execution_webhook_api_v1_policy__policy_key__webhook_pre_execution__pre_webhook_key__patch) and how to [PATCH a PolicyPostWebhook](/fidesops/api#operations-Policy_Webhooks-update_post_execution_webhook_api_v1_policy__policy_key__webhook_post_execution__post_webhook_key__patch). -## Webhook request format +## Policy Webhook request format Before and after running access or erasure requests, fidesops will send requests to any configured webhooks in sequential order with the following request body: diff --git a/docs/fidesops/docs/guides/query_execution.md b/docs/fidesops/docs/guides/query_execution.md index 82531faf1..10143889e 100644 --- a/docs/fidesops/docs/guides/query_execution.md +++ b/docs/fidesops/docs/guides/query_execution.md @@ -101,7 +101,7 @@ dataset: We trigger a retrieval with identity data, such as an email address or user ID, that's provided by the user. What we do is... -1. Identify the collections that contain the identity data that the user. +1. Identify the collections that contain the identity data that belong to the user. 2. Find all related records. 3. Use the data to find all connected data. 4. 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Subject: [PATCH 2/4] Add to mkdocs.yml. --- docs/fidesops/mkdocs.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/fidesops/mkdocs.yml b/docs/fidesops/mkdocs.yml index 8a2410d2a..6aea2e384 100644 --- a/docs/fidesops/mkdocs.yml +++ b/docs/fidesops/mkdocs.yml @@ -29,6 +29,7 @@ nav: - Data Rights Protocol: guides/data_rights_protocol.md - Configure Automatic Emails: guides/email_communications.md - Configure Manual Webhooks: guides/manual_webhooks.md + - Understanding Privacy Request Execution: guides/fidesops_workflow.md - SaaS Connectors: - Connect to SaaS Applications: saas_connectors/saas_connectors.md - SaaS Configuration: saas_connectors/saas_config.md From 2d3af36e56c16040329c86b434748535470db6bc Mon Sep 17 00:00:00 2001 From: Cole Date: Wed, 28 Sep 2022 15:54:04 -0400 Subject: [PATCH 3/4] fidesops workflow updates --- .../fidesops/docs/guides/fidesops_workflow.md | 222 ++++++------------ 1 file changed, 73 insertions(+), 149 deletions(-) diff --git a/docs/fidesops/docs/guides/fidesops_workflow.md b/docs/fidesops/docs/guides/fidesops_workflow.md index 480138b10..41303c04d 100644 --- a/docs/fidesops/docs/guides/fidesops_workflow.md +++ b/docs/fidesops/docs/guides/fidesops_workflow.md @@ -1,206 +1,130 @@ # Fidesops Privacy Request Execution -When a [Privacy Request](privacy_requests.md) is submitted, fidesops first performs some prerequisite checks, and -then visits your Collections in a largely automated way in two passes: first retrieving relevant data -for the subject across all your Collections and then optionally masking data for the subject. +When a [Privacy Request](privacy_requests.md) is submitted, fidesops performs several prerequisite checks, and then visits your collections in two passes: first, to retrieve relevant data for the subject across all your collections, and again to mask the subject's data, if necessary. +The following guide outlines the steps fidesops takes to fulfill a privacy request from end to end, including optional configurations and manual data retrieval. -## Privacy Request Submission +## Privacy request submission -When a user submits a request to fidesops to access or erase their data, fidesops first creates records -to store the relevant information, verifies the user's identity, and notifies relevant parties. +Prior to processing a privacy request, fidesops first creates records to store the relevant information, and can perform a number of other actions based on your configuration: -If applicable, these steps must be completed before the privacy request is queued for execution: +| Step | Description | +| --- | --- | +| **Persist** | Fidesops creates a privacy request in long-term storage to capture high-level information (e.g. date created, current status). Fidesops saves the identity of the subject to both short- and long-term storage. | +| **Verify** | If configured, Fidesops sends an [email](./privacy_requests.md#subject-identity-verification) to the user to verify their identity before proceeding. | +| **Notify** | If configured, the user will receive an [email](./email_communications.md) verifying that their request has been received. | +| **Approve** | If configured, Fidesops will require a system administrator to [approve](./configuration_reference.md) the request before proceeding. | -- Persist Step - - Fidesops creates a PrivacyRequest in long-term storage to capture high-level information such as the date created and its current status. - - Fidesops saves the identity of the subject to both short- and long-term storage. -- Verify Step - - If configured, Fidesops sends an email to the user to verify their identity before proceeding. -- Notify Step - - If configured, the user will receive an email verifying we've received their request. -- Approve Step - - If configured, Fidesops may require a system administrator to approve the request before proceeding. +## Privacy request execution +Once the required submission steps have been completed, the request status is updated to `in_processing` status, and the privacy request is dispatched to a separate queue for processing. +Request execution involves gathering data from multiple sources, and/or masking data in multiple locations. Fidesops will follow the steps below in order, skipping any that are not applicable for the given request: -## Privacy Request Execution + 1. Respond to manual webhooks + 2. Run policy pre-execution webhooks + 3. Access request automation + 4. Upload results + 5. Erasure request automation + 6. Send erasure request emails + 7. Run policy post-execution webhooks + 8. Send email notifications -Once the prerequisite steps above have been completed, the privacy request is moved to `in_processing` status -and is dispatched to a separate queue for processing. Request execution involves gathering data from multiple -sources and/or masking data in multiple locations by following the steps below, skipping steps -if they are not applicable for the given request: +### Respond to manual webhooks - 1. Manual Webhooks Step - 2. Policy Pre-Execution Webhooks Step - 3. Access Request Step - 4. Upload Access Results Step - 5. Erasure Request Step - 6. Email Erasure Requests Step - 7. Policy Post-Execution Webhooks Step - 8. Follow-up Email Notification Step +Manual webhooks allow data pertaining to be manually uploaded by a fidesops admin. If manual webhooks are enabled, request execution will exit with a status of `requires_input` until a submission has been received for each manual webhook configured. The privacy request can then be resumed, and request execution will continue from this step. See [Manual Webhooks](manual_webhooks.md) for more information on configuration options and resuming a `requires_input` request. -###1) Manual Webhooks Step +Data uploaded for manual webhooks will be returned to the data subject directly at the end of request execution. Data gathered here is not used to locate data from other sources. -Manual webhooks allow a fidesops admin to manually upload data pertaining to a subject. If manual webhooks are -configured and we don't have a data submissions for all webhooks, request execution will exit with a status of `requires_input`. +### Run pre-execution webhooks +Policy pre-execution webhooks let your system take care of prerequisite tasks, or locate additional identities for the data subject. Examples include turning on a specific database in your infrastructure, or locating a phone number for a subject from a table for which you do not want to give Fidesops direct access. Configuration involves defining endpoint(s) for fidesops to call in order. See [Policy Webhooks](policy_webhooks.md) for more details. -Fidesops admins should separately upload data for each webhook, or a blank response if no data is found. The privacy -request can then be resumed, and request execution will continue from this step. See [Manual Webhooks](manual_webhooks.md) for more information -on configuring manual webhooks and resuming a `requires_input` request. +Fidesops sends a request to each pre-execution webhook with a [policy webhooks request format](policy_webhooks.md#policy-webhook-request-format), which your endpoints should be prepared to unpack. If you need more time to carry out an action, your webhook can instruct Fidesops to `halt`, which will cause execution to exit with a status of `paused`. Request execution can be continued when ready using a token supplied in the original request. -Data uploaded for manual webhooks will be returned to the data subject directly at the end of request execution. Data -gathered here is not used to locate data from other sources. +No data uploaded by policy webhooks is returned to the data subject, but identities discovered can be used to later locate data pertaining to the subject during access request automation. -### 2) Policy Pre-Execution Webhooks Step +If a request to a pre-execution webhook fails, request execution will exit with a status of `error`. Retrying the privacy request will resume from this step and attempt to re-run all pre-execution webhooks. -Policy Pre-Execution Webhooks let your system take care of prerequisite tasks or locate additional subject identities -for the data subject. Examples might be turning on a specific database in your infrastructure or locating a phone number for a subject -from a table for which you do not want to give Fidesops direct access. Configuration will involve defining endpoint(s) for fidesops to call in order. -See [Policy Webhooks](policy_webhooks.md) for more details. -Fidesops will send a request to each previously configured webhook with a specific request body defined in [Policy -Webhooks Request Format](policy_webhooks.md#Policy-Webhook-request-format) which your endpoints should be prepared to unpack. -If you need more time to carry out an action on your end, your webhook can instruct Fidesops to `halt`, which will cause -execution to exit with a status of `paused`. Request execution can be continued when ready using a token that was -supplied in the original request. +### Access request automation +Access request automation is performed regardless of whether there are access or erasure Rules defined, as both Rules require this data. See how to [configure policies, rules, and rule targets](policies.md) for additional information. -No data uploaded by Policy Webhooks is returned to the data subject, but identities discovered can be used -to later locate data pertaining to the subject in the Access Request Step. - -If a request to a pre-execution webhook fails, request execution will exit with a status of `error`. Retrying -the privacy request will resume from this step and attempt to re-run all the pre-execution webhooks. - - -### 3) Access Request Step - -The automated Access Request Step is performed regardless of whether there are Access or Erasure Rules defined, since -both Rules require this data. See here to [Configure Policies, Rules, and Rule Targets](policies.md). This step visits all Collections and retrieves -all Fields that you've defined in your [Datasets](datasets.md). We build a graph in accordance with how you've designated your Collections are related, -visit each Collection in turn, and end by gathering all the results together. +This step visits all Collections and retrieves all Fields that you've defined in your [Datasets](datasets.md). Fidesops builds a graph in accordance with how you've designated your Collections are related, visits each Collection in turn, and gathers all the results together. #### Graph building -Fidesops builds a DAG (Directed Acyclic Graph) from all Collections within your enabled Datasets. In other words, each location or node on the graph -corresponds to a Collection in one of your Datasets. The graph helps determine the order in which nodes will be visited. -We start with any Collections that we can query just using the identity data, and then point those Collections toward -dependent Collections that need data from the current Collection and so on. If fidesops can't figure out how to -reach a Collection, it will exit early with a status of `error`. To remedy, you will have to -how your Collections are related to each other in your Datasets and resubmit the privacy request. +Fidesops builds a Directed Acyclic Graph, or DAG, where each location or node corresponds to a Collection in one of your Datasets. The graph helps determine the order in which nodes will be visited. Fidesops begins with any Collections that can be queried using the supplied identity data, and then points those Collections toward dependent Collections, etc. If fidesops can't determine out how to reach a Collection, it will exit early with a status of `error`. To remedy an errored access request, you update how your Collections are related to each other in your Datasets, and resubmit the privacy request. + ![Access Graph](../img/access_graph.png) #### Graph Execution -After the graph is built, we pass this to Dask to execute (sequentially). We visit one Collection at a time, following -the graph specified above, and use Dask to determine ordering for tiebreakers. For the first Collections in the graph connected to the root, -we use just the customers' identity to locate subject data, by 1) making database queries or 2) making HTTP requests to a -configured API endpoint. The details on how to access your data are determined by the [ConnectionConfig](connection_types.md) type. We retrieve all Fields that have been configured on the Collection. We cache the results in -temporary storage in multiple formats for usage later. We then pass the results of that Collection to downstream -Collections that similarly make queries, temporarily cache the results, and return their results to their own downstream Collections. -A Collection isn't visited until we have searched for data across all of its upstream Collections. We continue until all Collections have been visited. See [Query Execution](query_execution.md) for more information. +After the graph is built, Fidesops passes the result to [Dask](https://www.dask.org/) to execute sequentially. Fidesops visits one Collection at a time, following the graph created, and uses Dask to determine ordering for ties. -![Access Execution](../img/access_execution.png) +For the first Collections in the graph connected to the root, Fidesops uses the customers' provided identity to locate subject data, by either making database queries or HTTP requests to a configured API endpoint. The details on how to access your data are determined by the [Connection](connection_types.md) type. Fidesops retrieves all Fields that have been configured on the Collection, and caches the results in temporary storage for usage later. Fidesops then passes the results of that Collection to downstream Collections that similarly make queries, temporarily cache the results, and return their results to their own downstream Collections. +A Collection isn't visited until Fidesops has searched for data across all of its upstream Collections. This continues until all Collections have been visited. See [Query Execution](query_execution.md) for more information. -If there is a failure trying to retrieve data on any Collections, the request is retried the configured number of times -until the request exits with status `error`. Both the step (`access`) and errored Collection are cached in temporary storage. -Restarting the privacy request will restart from this step and failed Collection. Collections that have already been visited will not be visited again. +![Access Execution](../img/access_execution.png) -### Final result retrieval -The final step of the Access Request Step is gathering all the results for each Collection from temporary storage. +If there is a failure trying to retrieve data on any Collections, the request is retried the number of times [configured](./configuration_reference.md) by `task_retry_count` until the request exits with status `error`. Both the `access` step and errored Collection are cached in temporary storage. +Restarting the privacy request will restart from this step and failed Collection. Collections that have already been visited will not be visited again. +#### Final result retrieval +The final step of an automated access request gathers all the results for each Collection from temporary storage. -### 4) Upload Access Results Step -If configured, Fidesops then takes the results retrieved from the Access Request Step and uploads the data for the data subject. +### Upload results +If configured, Fidesops uploads the results retrieved from access automation for the data subject. -For each configured Access Rule, we filter the graph results to match targeted Data Categories. See [Datasets](datasets.md) for more details. -We also supplement the results with any data manually uploaded earlier in the Manual Webhooks step. Each data package is uploaded in JSON +For each configured access Rule, Fidesops filter the graph results to match targeted Data Categories. See [Datasets](datasets.md) for more details. +Fidesops also supplements the results with any data manually uploaded from [manual webhooks](#respond-to-manual-webhooks). Each data package is uploaded in JSON or CSV format to a specified storage location like Amazon S3. See [Storage](storage.md) for more information. -### 5) Erasure Request Step - -If applicable, meaning there are Erasure [Rules](policies.md#Rule-attributes) configured on this Policy, we build a simpler graph -than the graph used for Access requests, and visit each Collection in turn, performing masking requests as necessary. +### Erasure request automation +If applicable, (erasure [Rules](policies.md#Rule-attributes) are configured on your execution policy), Fidesops builds a simpler version of the access request graph, and visits each Collection in turn, performing masking requests as necessary. #### Graph building -The "graph" for an Erasure is hardly a graph. We already have the data from the Access Request step in temporary storage which can -be used to locate data for each Collection individually. Each Collection could technically be visited in any order or -run in parallel. The graph is configured so each Collection has its previous Access Request results passed in as inputs, -and each Collection returns a count of records masked, when complete. +The "graph" for an erasure runs on the data from the access request, which is kept in temporary storage, and can be used to locate data for each Collection individually. Because the data has already been found, each Collection could be visited in any order or run in parallel. The graph is configured so each Collection has its previous access request results passed in as inputs, and each Collection returns a count of records masked when complete. ![Erasure Graph](../img/erasure_graph.png) #### Graph execution -We visit each Collection sequentially using a deterministic order set by Dask. For each row of data retrieved -in the Access Request step, we attempt to mask the data targeting the fields you've specified on the Policy, -also using the [Masking Strategies](masking_strategies.md) you've defined. If no rows exist from the Access Request Step -or no Fields on that Collection match the targeted Data Categories, no masking occurs. We cache a count of the records -that had fields masked in temporary storage. The request to mask might involve an `update` database query or an `update` or `delete` -HTTP request depending on the [ConnectionConfig Type](connection_types.md). - - -The Email Connector type doesn't mask any data itself, but instead persists how to locate and mask that Collection in temporary storage -for use later. - - -If masking fails on a given Collection, Fidesops retries the requests for a configured number of times, and then request execution will -exit with a status of `error`. Fidesops will cache both the failed Collection and the fact that we failed on the `erasure` step. -Retrying the privacy request will resume from the `Erasure` step at the failed Collection. Previously masked Collections will -not be masked again. - - -### 6) Make Erasure Requests via Email Step - -After both Access and Erasure steps have executed, we check if we have any third parties that need to be additionally emailed -to complete Erasure requests on your behalf. See [Email third party services to mask data](email_communications.md#Email-third-party-services-to-mask-data) -for more information. +Fidesops visits each Collection sequentially, using a deterministic order set by Dask. For each row of data retrieved in the access request step, Fidesops attempts to mask the data targeting the fields specified on your execution policy, using the [masking strategies](masking_strategies.md) you've defined. If no rows exist from the access request, or no Fields on that Collection match the targeted Data Categories, no masking occurs. Fidesops caches a count of the records +that had fields masked in temporary storage. -We retrieve any masking instructions cached by EmailConnectors in the Erasure Request step and combine into a single -email per Dataset. +The masking request might involve an `update` database query or an `update` or `delete` HTTP request depending on the [Connection Type](connection_types.md). The Email Connector type doesn't mask any data itself, but instead persists how to locate and mask that Collection in temporary storage for use later. -This step is only performed if you have EmailConnectors configured. If the email send fails for some reason, the request -will exit with status `error`. We will cache this step in temporary storage, so retrying the request will resume from this point. +If masking fails on a given Collection, Fidesops retries the requests for a configured number of times, and then request execution will exit with a status of `error`. Fidesops will cache both the failed Collection and that the failure occurred on the `erasure` step. Retrying the privacy request will resume from the `erasure` step at the failed Collection. Previously masked Collections will not be masked again. -### 7) Policy Post-Execution Webhooks Step +### Send erasure request emails +After the access and erasure steps have both executed, Fidesops checks if there are any third parties that need to be additionally emailed to complete erasure requests on your behalf. See [emailing third party services to mask data](email_communications.md#Email-third-party-services-to-mask-data) for more information. -After automated Access and Erasures steps have completed, Policy Post Execution Webhooks can be used to perform any -cleanup steps in your system. Examples might be setting up a webhook on your end to shut down a database or delete user data -from a source you don't want Fidesops to access directly. Post-Execution webhooks are more limited than Pre-Execution -Webhooks. They currently cannot pause the graph. These should just be configured as a series of API endpoints -you'd like Fidesops to call. See [Policy Webhooks](policy_webhooks.md) for more details on configuration. +Fidesops retrieves any masking instructions cached by Email Connectors in the erasure request step, and combines them into a single email per Dataset. -If a request to a post-execution webhook fails, request execution will exit with a status of `error`. Retrying -the privacy request will resume from this step and attempt to re-run all the Post-Execution webhooks. +This step is only performed if you have Email Connectors configured. If the email send fails for any reason, the request will exit with status `error`. Fidesops will cache this step in temporary storage, so retrying the request will resume from this point. -### 8) Followup Email Notification Step +### Run policy post-execution webhooks +After automated access and erasures have completed, post-execution webhooks can be used to perform any cleanup steps in your system. Examples include setting up a webhook to shut down a database, or to delete user data from a source you don't want Fidesops to access directly. Post-execution webhooks are more limited than Pre-execution webhooks. They currently cannot pause the graph, and should be configured as a series of API endpoints you would like Fidesops to call. See [policy webhooks](policy_webhooks.md) for more details on configuration. -If configured, we will send a followup email to the data subject to let them know their request -has finished processing. For Access Rules, the emails will contain links to where the data subject -can retrieve data. For Erasure Rules, the emails will simplify notify that their Privacy Request is complete. +If a request to a post-execution webhook fails, request execution will exit with a status of `error`. Retrying the privacy request will resume from this step and attempt to re-run all the post-execution webhooks. -Request execution should then exit with status `complete`. +### Send email notifications +If configured, Fidesops will send a followup email to the data subject to let them know their request has finished processing. For access Rules, the emails will contain links to where the data subject can retrieve data. For erasure Rules, the emails will simplify notify them that their request is complete. -## Worth Noting +Request execution will then exit with the status `complete`. -- We use Redis as temporary storage to support executing your request. We temporarily store things like the data -automatically retrieved from each Collection, manually uploaded data, and details about where the Privacy Request may -be paused or where it failed. This information will expire in accordance with the `FIDESOPS__REDIS__DEFAULT_TTL_SECONDS` setting. -- Fidesops current execution strategy prioritizes being able to erase as many of the original Collections requested as possible. If we mask -some Collections and then we have a failure, current logic lets us mask the original remaining Collections -using the temporarily saved data we retrieved in the original Access Step, instead of re-querying the Collections to figure -out which data we should mask. Once data is masked in one Collection, it could potentially prevent us from being able to -locate data in downstream Collections, so we opt to use our temporarily stored data. - - The side effect is that data added in the interim or data related to newly added Collections can be missed. - - If the Access Step fails part of the way through, a new Collection is added, and then the request is restarted from failure, - we are potentially missing data from already completed Collections downstream, plus any Collections further downstream of that set. - - If the Erasure Step fails, a new Collection is added, and the request is restarted from failure, we potentially miss masking data from the new +## Additional notes +- Fidesops uses Redis as temporary storage to support executing your request. Data automatically retrieved from each Collection, manually uploaded data, and details about where the Privacy Request may be paused or where it failed may all be temporarily stored. This information will expire in accordance with the `FIDESOPS__REDIS__DEFAULT_TTL_SECONDS` [setting](./configuration_reference.md). +- The current fidesops execution strategy prioritizes being able to erase as many of the original Collections requested as possible. If Fidesops masks +some Collections and then registers a failure, the current logic will mask the original remaining Collections using the temporarily saved data retrieved in the original access step instead of re-querying the Collections. Once data is masked in one Collection, it could potentially prevent us from being able to locate data in downstream Collections, and so will use temporarily stored data. + - Data added in the interim, or data related to newly added Collections, can be missed. + - If the automated access step fails part of the way through, a new Collection is added, and then the request is restarted from failure, + Fidesops may miss data from already completed Collections downstream, and any Collections further downstream of that set. + - If the erasure step fails, a new Collection is added, and the request is restarted from failure, Fidesops may miss masking data from the new Collection and data downstream of the new Collection. - Nodes on the graph correspond to individual Collections within Datasets, not Datasets. The graph built may result in Fidesops -visiting a Collection in one Dataset to be able to find data on a Collection in a separate Dataset, which is used to find -data on a Collection in the original Dataset. -- The Access Request Step often selects more Fields than may be returned specifically to the user because this data has multiple uses. -We select all Fields defined to be able to potentially query downstream Collections, filter data according to multiple Access Rules, -and mask data in accordance with multiple Erasure Rules. +visiting a Collection in one Dataset to be able to find data on a Collection in a separate Dataset, which is used to find data on a Collection in the original Dataset. +- Automated access requests often select more Fields than may be returned specifically to the user because this data has multiple uses. Fidesops selects all Fields defined to be able to potentially query downstream Collections, filter data according to multiple access Rules, and mask data in accordance with multiple erasure Rules. From ee5d74292d25cb58be6e956d08b8150b591385ec Mon Sep 17 00:00:00 2001 From: Cole Date: Thu, 29 Sep 2022 09:08:49 -0400 Subject: [PATCH 4/4] copy edits --- docs/fidesops/docs/guides/fidesops_workflow.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/fidesops/docs/guides/fidesops_workflow.md b/docs/fidesops/docs/guides/fidesops_workflow.md index 41303c04d..fc784b675 100644 --- a/docs/fidesops/docs/guides/fidesops_workflow.md +++ b/docs/fidesops/docs/guides/fidesops_workflow.md @@ -32,14 +32,14 @@ Request execution involves gathering data from multiple sources, and/or masking ### Respond to manual webhooks -Manual webhooks allow data pertaining to be manually uploaded by a fidesops admin. If manual webhooks are enabled, request execution will exit with a status of `requires_input` until a submission has been received for each manual webhook configured. The privacy request can then be resumed, and request execution will continue from this step. See [Manual Webhooks](manual_webhooks.md) for more information on configuration options and resuming a `requires_input` request. +Manual webhooks allow data pertaining a subject to be manually uploaded by a fidesops admin. If manual webhooks are enabled, request execution will exit with a status of `requires_input` until a submission has been received for each manual webhook configured. The privacy request can then be resumed, and request execution will continue from this step. See [Manual Webhooks](manual_webhooks.md) for more information on configuration options and resuming a `requires_input` request. Data uploaded for manual webhooks will be returned to the data subject directly at the end of request execution. Data gathered here is not used to locate data from other sources. ### Run pre-execution webhooks Policy pre-execution webhooks let your system take care of prerequisite tasks, or locate additional identities for the data subject. Examples include turning on a specific database in your infrastructure, or locating a phone number for a subject from a table for which you do not want to give Fidesops direct access. Configuration involves defining endpoint(s) for fidesops to call in order. See [Policy Webhooks](policy_webhooks.md) for more details. -Fidesops sends a request to each pre-execution webhook with a [policy webhooks request format](policy_webhooks.md#policy-webhook-request-format), which your endpoints should be prepared to unpack. If you need more time to carry out an action, your webhook can instruct Fidesops to `halt`, which will cause execution to exit with a status of `paused`. Request execution can be continued when ready using a token supplied in the original request. +Fidesops sends a request to each pre-execution webhook with a [policy webhooks request format](policy_webhooks.md#policy-webhook-request-format), which your endpoints should be prepared to unpack. If you need more time to carry out an action, your webhook can instruct fidesops to `halt`, which will cause execution to exit with a status of `paused`. Request execution can be continued when ready using a token supplied in the original request. No data uploaded by policy webhooks is returned to the data subject, but identities discovered can be used to later locate data pertaining to the subject during access request automation. @@ -52,7 +52,7 @@ Access request automation is performed regardless of whether there are access or This step visits all Collections and retrieves all Fields that you've defined in your [Datasets](datasets.md). Fidesops builds a graph in accordance with how you've designated your Collections are related, visits each Collection in turn, and gathers all the results together. #### Graph building -Fidesops builds a Directed Acyclic Graph, or DAG, where each location or node corresponds to a Collection in one of your Datasets. The graph helps determine the order in which nodes will be visited. Fidesops begins with any Collections that can be queried using the supplied identity data, and then points those Collections toward dependent Collections, etc. If fidesops can't determine out how to reach a Collection, it will exit early with a status of `error`. To remedy an errored access request, you update how your Collections are related to each other in your Datasets, and resubmit the privacy request. +Fidesops builds a Directed Acyclic Graph, or DAG, where each location or node corresponds to a Collection in one of your Datasets. The graph helps determine the order in which nodes will be visited. Fidesops begins with any Collections that can be queried using the supplied identity data, and then points those Collections toward dependent Collections, etc. If fidesops can't determine how to reach a Collection, it will exit early with a status of `error`. To remedy an errored access request, you update how your Collections are related to each other in your Datasets, and resubmit the privacy request. ![Access Graph](../img/access_graph.png)