.png)
Drata Integration Guide
Integrate Drata compliance data with enterprise systems through its REST API, API-key authentication, scheduled synchronization, and controlled workflow orchestration.
Drata integration options at a glance
Drata provides a REST API for programmatic access to compliance objects and administration capabilities, with JSON payloads and API-key authentication typically supplied as a bearer token. Martini can consume these endpoints from scheduled or API-led workflows, paginate through collections, transform responses, apply validation and business rules, and synchronize selected Controls, Tests, Evidence, Policies, Personnel, Vendors, Risks, or Frameworks with downstream systems. Drata webhook or outbound-callback coverage was not confirmed, so polling with checkpoints is the safer default. Bulk, asynchronous, SOAP, GraphQL, direct database, and generally available file-upload mechanisms were also not confirmed and should be validated for each tenant.
| Integration point | Supported by Drata? | Common use cases | How Martini supports it |
|---|---|---|---|
| REST APIs | Yes | Programmatic access to Drata compliance objects and administration functions using JSON requests and responses. Use it to retrieve Controls, Tests, Evidence, Policies, Personnel, Vendors, Risks, or Frameworks where the tenant API exposes them. | Martini can consume Drata REST endpoints from workflows, paginate collection responses, transform JSON, apply business rules, and expose selected operations through a Martini API. |
| Authentication | Yes | Drata API access uses API keys, generally presented as bearer tokens in the HTTP Authorization header. Tenant permissions and exact header requirements should be confirmed. | Martini stores the API key in secrets or environment-specific configuration and injects it into outbound API calls without embedding credentials in mappings or source code. |
| Webhooks / outbound callbacks | Not confirmed | A generally available Drata webhook or outbound-callback API was not confirmed. If a tenant provides such functionality, event types, signatures, payload completeness, and retry behavior require verification. | Martini can receive webhook-style requests when Drata documents and enables them, but scheduled REST polling with checkpoints is the safer default until coverage is confirmed. |
| Pagination and scheduled synchronization | Yes | Collection endpoints may be paginated, while incremental filters or change cursors are not guaranteed for every resource. Scheduled bounded retrieval is appropriate for reconciliation. | Martini can schedule workflows, follow documented continuation fields, persist checkpoints, compare hashes or state, and resume after a failed page or object. |
| Bulk / asynchronous APIs | Not confirmed | Dedicated bulk, batch, or asynchronous Drata APIs were not confirmed. Large transfers should use paginated REST requests unless Drata documents a tenant-specific bulk endpoint. | Martini can orchestrate controlled batches, limit concurrency, apply rate-aware retries, and maintain checkpoints around ordinary REST requests. |
| File / attachment APIs | Not confirmed | Drata manages evidence artifacts, but a generally available public binary upload, download, or attachment-metadata API was not verified. | Martini can process API responses and files when a supported Drata evidence operation exists, but should not assume binary upload or download capability. |
| GraphQL APIs | Not confirmed | No official Drata GraphQL API documentation was verified. Integration designs should use the REST API unless Drata confirms otherwise. | Martini supports GraphQL consumption generally, but this mechanism should not be used for Drata without a confirmed tenant endpoint. |
| SOAP APIs | Not confirmed | No official Drata SOAP API documentation was verified. The documented integration approach is REST-based. | Martini can consume SOAP services generally, but a Drata SOAP integration should not be assumed. |
| Database / analytics access | No | Direct database or analytics-database access was not identified and is not the expected integration path for this SaaS platform. | Martini should consume Drata’s supported API rather than attempting direct database connectivity. |
How Drata exposes data and business events
Drata REST APIs
Drata provides REST API access to compliance data and administration functions. Requests and responses use JSON, API-key authentication is documented, and resource availability, operations, permissions, pagination, and versioning should be confirmed for the customer’s tenant. GraphQL, SOAP, dedicated bulk APIs, and generally available webhooks were not confirmed.
Martini implementation pattern
Martini implementation pattern: a Martini workflow authenticates with a Drata API key stored in secure configuration, invokes the required REST endpoint, follows the documented pagination model, validates and transforms JSON, applies business rules, and writes to a target system or exposes a controlled Martini API. The workflow records checkpoints and distinguishes authentication, permission, validation, rate-limit, and transient service failures.
Implementation sequence
Common Drata integration patterns
Pattern 1: Synchronize Drata controls with Jira
When to use this pattern
Use this pattern when compliance teams need actionable Jira work for failed Controls, incomplete Tests, overdue Evidence, or audit remediation. A scheduled comparison is appropriate because comprehensive Drata webhook coverage was not confirmed.
Integration direction
Example Mapping
| Drata Field | Canonical Field | Target Field |
|---|---|---|
| control.id | controlExternalId | Jira custom field: Drata Control ID |
| control.name | controlTitle | Jira summary |
| test.status | complianceStatus | Jira issue status |
| evidence.dueDate | remediationDueDate | Jira due date |
Martini implementation pattern
Martini schedules paginated Drata retrievals, filters failed or overdue items, maps them to Jira issue fields, and uses the Drata identifier as a stable deduplication key. Business rules determine whether to create, update, close, or ignore an issue. Retryable Jira or Drata failures are retried with checkpoints, while permission and validation failures are routed for review.
Martini capabilities used
- workflows
- scheduled triggers
- API consumption
- pagination and checkpointing
- data mapping
- business rules
- idempotent processing
- error handling
Pattern 2: Publish Drata compliance notifications to Slack
When to use this pattern
Use this pattern when security, engineering, or compliance teams need timely notifications about material compliance changes without exposing full evidence contents. Scheduled polling is the default unless suitable Drata events are confirmed for the tenant.
Integration direction
Example Mapping
| Drata Field | Canonical Field | Target Field |
|---|---|---|
| test.status | findingStatus | Slack message severity |
| control.name | controlTitle | Slack message title |
| evidence.dueDate | dueDate | Slack message context |
| control.id | sourceIdentifier | Slack message reference |
Martini implementation pattern
Martini retrieves selected Drata objects, compares their relevant fields with stored state, suppresses unchanged results, and formats a concise Slack API request. Rules classify failed, overdue, and remediated states. The workflow records notification keys so retries do not generate duplicate messages and excludes sensitive evidence payloads from logs.
Martini capabilities used
- scheduled workflows
- API consumption
- state comparison
- data transformation
- business rules
- secrets management
- retry handling
Pattern 3: Reconcile Okta personnel with Drata
When to use this pattern
Use this pattern when identity lifecycle and access-review data must be compared with Drata Personnel. It is suitable for detecting missing, terminated, or inconsistent personnel information, but direct Drata write-back requires confirmation of the tenant’s supported operations.
Integration direction
Example Mapping
| Drata Field | Canonical Field | Target Field |
|---|---|---|
| user.id | personExternalId | Drata Personnel identifier |
| user.email | personEmail | Drata Personnel email |
| user.status | lifecycleStatus | Drata Personnel status |
| user.department | organizationalUnit | Drata Personnel department |
Martini implementation pattern
Martini retrieves Okta users, normalizes identifiers and lifecycle states, retrieves the relevant Drata Personnel data, and compares the two sets. Business rules classify discrepancies and either invoke confirmed Drata operations or create a reconciliation report. Sensitive identity data is minimized, and failed pages are checkpointed for safe reruns.
Martini capabilities used
- workflow orchestration
- API consumption
- data mapping
- comparison logic
- validation
- business rules
- checkpointing
- secure configuration
Pattern 4: Stage AWS compliance evidence for Drata
When to use this pattern
Use this pattern when AWS configuration or security data needs to support compliance controls. The pattern must account for Drata’s unconfirmed public evidence-upload and attachment capabilities; when direct ingestion is unavailable, the workflow should produce a reviewable staging or exception output.
Integration direction
Example Mapping
| Drata Field | Canonical Field | Target Field |
|---|---|---|
| AWS resource.arn | resourceIdentifier | Drata evidence reference or staging record |
| AWS configuration.status | assessmentResult | Evidence or control result |
| AWS collectedAt | observationTimestamp | Drata evidence timestamp |
| AWS finding.description | findingDetails | Evidence notes or review report |
Martini implementation pattern
Martini orchestrates AWS API calls, normalizes results, applies control-specific validation, and checks the tenant’s available Drata evidence operation. If supported, it submits the permitted representation; otherwise it writes a controlled staging report for review. The workflow handles transient cloud and API errors separately from unsupported-operation responses and avoids logging sensitive configuration details.
Martini capabilities used
- workflow orchestration
- API consumption
- data transformation
- validation
- conditional routing
- error handling
- monitoring
Applications commonly integrated with Drata
Drata commonly participates in compliance, security, identity, work-management, and cloud-evidence processes. The following are practical integration targets or sources based on Drata’s role as a compliance automation platform; exact Drata API coverage and write operations should be confirmed for the tenant.
| Application | Scenario | Direction | Martini Pattern |
|---|---|---|---|
| Jira | Create or update remediation work for failed controls, overdue tests, missing evidence, and audit tasks. | Drata → Martini → Jira | A scheduled Martini workflow retrieves relevant Drata Controls, Tests, or Evidence, applies status and deduplication rules, and creates or updates Jira issues using stable cross-system identifiers. Retryable failures are separated from validation and permission errors. |
| Slack | Notify compliance, security, and engineering teams about failed tests, missing evidence, vendor-risk changes, or approaching deadlines. | Drata → Martini → Slack | Martini polls Drata on a controlled schedule, compares material changes with stored integration state, formats concise notifications, and calls the Slack API. Idempotency rules prevent repeated alerts for the same status change. |
| Okta | Reconcile personnel, user-lifecycle, access-review, and identity information relevant to compliance activities. | Okta → Martini → Drata | Martini retrieves personnel or user data from Okta, maps identifiers and lifecycle states, validates the required Drata operations, and writes only supported changes. Unsupported write operations can produce reconciliation reports instead of direct updates. |
| AWS | Coordinate cloud configuration, security, and infrastructure evidence with compliance controls. | AWS → Martini → Drata | A Martini workflow orchestrates AWS API calls, normalizes configuration or evidence results, and submits or associates information with Drata only when the tenant’s evidence API supports the required operation. Otherwise it produces an exception or evidence-staging report. |
| Google Workspace | Support collection or reconciliation of user, access, device, and administrative evidence for compliance programs. | Google Workspace → Martini → Drata | Martini consumes the relevant Google Workspace APIs, transforms administrative data into a controlled compliance model, and sends supported updates or reports to Drata. Sensitive values are filtered before logging or downstream exposure. |
| Microsoft 365 | Collect or reconcile identity, access, configuration, and administrative information used by compliance programs. | Microsoft 365 → Martini → Drata | Martini schedules Microsoft 365 retrievals, validates required fields, maps the results to Drata-related workflows, and records checkpoints for repeatable processing. Tenant permissions and Drata write support are verified before enabling bidirectional synchronization. |
| GitHub | Relate repository, branch-protection, pull-request, and developer-access information to software compliance controls. | GitHub → Martini → Drata | Martini retrieves GitHub configuration and access data, applies control-specific rules, and sends supported evidence or a review report to Drata. Changes are correlated by repository and control identifiers to avoid duplicate findings. |
| Salesforce | Reconcile application, personnel, vendor, or customer-data control information with compliance records. | Salesforce → Martini → Drata | Martini extracts selected Salesforce objects, maps them to the required compliance fields, and sends supported information to Drata or a review process. API permissions, object availability, and the exact Drata write model must be confirmed first. |
How to build a Drata integration in Martini
Objective
Establish Drata access using an API key and environment-specific configuration while keeping tenant URLs, API versions, permissions, and downstream credentials separate by environment.
Instructions in Martini
- Create a Martini secret for the Drata API key
- Configure the documented Authorization header format
- Keep tenant-specific base URL, API version, and object filters in environment configuration
- Verify the key has only the permissions required by the workflow
Objective
Select a trigger that matches the confirmed Drata capabilities. Scheduled execution is the default because generally available Drata webhooks and callbacks were not confirmed.
Instructions in Martini
- Use a scheduler for polling and reconciliation workflows
- Use an API trigger when another system needs to request Drata data
- Use a Drata callback trigger only after tenant event coverage and signature behavior are verified
- Set polling frequency and concurrency according to Drata rate limits
Objective
Call the required Drata REST resources and retrieve complete paginated collections without assuming that every object supports the same filters or change cursor.
Instructions in Martini
- Invoke the documented REST endpoint
- Read the response pagination or continuation fields
- Continue until the endpoint indicates that no results remain
- Persist the last successful page or object checkpoint
- Treat unsupported filters and missing resources as explicit design conditions
Objective
Coordinate retrieval, comparison, transformation, target writes, and recovery as a maintainable Martini workflow rather than a one-off script.
Instructions in Martini
- Separate extraction, normalization, business rules, and target delivery stages
- Route authentication, permission, validation, rate-limit, and transient errors differently
- Bound concurrency for large synchronizations
- Use reusable workflow logic for repeated Drata object handling
Objective
Convert Drata JSON objects into canonical fields and target-specific payloads while tolerating optional fields and future schema additions.
Instructions in Martini
- Map stable Drata identifiers to canonical external IDs
- Normalize statuses, dates, ownership, and relationships
- Validate required target fields before writing
- Ignore unknown fields safely while logging relevant unmapped fields
- Avoid copying sensitive Evidence content into ordinary logs
Objective
Apply integration-specific decisions such as which failures create Jira issues, which changes produce Slack notifications, and which personnel discrepancies require review.
Instructions in Martini
- Filter objects by control, status, ownership, or due-date criteria
- Use stable identifiers to prevent duplicate downstream actions
- Classify unsupported Drata write operations separately from business validation failures
- Use hash or state comparison when incremental Drata filtering is unavailable
Common Drata data objects used in integrations
| Object | Typical Use | Common target systems | Martini handling |
|---|---|---|---|
| Controls | Represent compliance requirements and control activities used to assess the organization’s control environment. | Jira, Slack, reporting platforms, internal compliance repositories | Martini retrieves Controls through REST endpoints, validates status and identifiers, maps them to canonical control data, and applies idempotent downstream updates. |
| Frameworks | Represent compliance frameworks and associated requirements, such as SOC 2 or ISO 27001. | Compliance reporting platforms, data warehouses, internal governance systems | Martini can synchronize framework metadata and relationships where exposed by the tenant API, while preserving framework identifiers and tolerating optional fields. |
| Evidence | Represent artifacts or evidence items collected to demonstrate that Controls are operating. | Jira, compliance repositories, reporting systems, review queues | Martini should treat Evidence as potentially sensitive, retrieve only supported metadata or content, filter logs, and verify whether file or attachment operations are available before attempting transfer. |
| Tests | Represent automated or manual tests used to evaluate control effectiveness and evidence status. | Jira, Slack, dashboards, compliance reporting systems | Martini polls or retrieves Tests, maps results and due dates, applies notification and remediation rules, and records checkpoints to avoid duplicate actions. |
| Policies | Represent policies maintained as part of an organization’s compliance program. | Document repositories, review workflows, compliance reporting systems | Martini maps policy identifiers, status, ownership, and relevant dates where available, with validation for tenant-specific fields and permissions. |
| Personnel | Represent people associated with the organization, responsibilities, access reviews, or compliance activities. | Okta, Microsoft 365, Google Workspace, HR or identity-related systems | Martini reconciles stable identifiers and lifecycle data, minimizes sensitive fields, and enables write-back only after Drata personnel operations are confirmed. |
Authentication and security considerations
API-key authentication
Drata provides programmatic API access using API keys, generally sent as bearer tokens in the HTTP Authorization header. The exact header format, available resources, and permissions should be confirmed in the customer tenant documentation.
Credential protection
Store the Drata API key in Martini secrets or environment-specific configuration. Do not embed it in workflows, mappings, source code, logs, or API responses.
Data minimization
- Limit API-key permissions to the objects and operations required.
- Restrict Evidence and Personnel fields exposed to downstream systems.
- Keep tenant URLs, API versions, filters, and credentials environment-specific.
- Use controlled Martini APIs when downstream applications need access to Drata data.
Operational considerations for Drata integrations
Pagination and rate limits
Drata collection endpoints may be paginated, and rate limits should be confirmed for the tenant and API version. Use bounded concurrency, scheduled polling, exponential backoff for 429 responses, and retries for transient 5xx responses.
State and idempotency
Use Drata object IDs and stable external identifiers to prevent duplicate downstream records or notifications. Persist checkpoints and do not assume that every resource supports a last-modified filter or change cursor.
Schema and evidence handling
Tolerate optional and unknown JSON fields, validate required target fields, and version mappings when downstream schemas are strict. Evidence and personnel data may be sensitive; avoid copying full content into logs or broad APIs.
Testing and monitoring
Test representative Controls, Tests, Evidence, Policies, Personnel, Vendors, Risks, and Frameworks with tenant-specific permissions. Monitor authentication failures, permission errors, rate limits, pagination failures, retries, and reconciliation differences.
Why use Martini instead of scripts or point-to-point integrations?
Orchestration instead of isolated scripts
Martini centralizes Drata API access, scheduled retrieval, pagination, transformation, business rules, downstream delivery, and recovery in maintainable workflows. This reduces duplicated authentication and synchronization logic across individual scripts.
Reliable synchronization
Workflows can maintain checkpoints, enforce idempotency, apply bounded retries, and separate transient failures from validation or permission problems. This is useful when Drata webhook coverage or incremental filtering is unavailable.
Controlled enterprise access
Martini can expose a governed API façade for selected Drata operations, apply authentication and authorization, normalize responses, and keep Drata credentials away from consuming applications.
Frequently asked questions
Drata can be integrated through its REST API using API-key authentication and JSON requests and responses. Martini can retrieve paginated compliance objects, transform and validate the data, apply business rules, and synchronize selected information with systems such as Jira, Slack, Okta, AWS, Google Workspace, Microsoft 365, GitHub, or Salesforce. Webhook coverage, bulk APIs, file operations, and write support vary and should be confirmed for the tenant.
Yes. Martini can integrate with Drata by consuming its REST API, storing the Drata API key securely, orchestrating scheduled or API-led workflows, mapping JSON payloads, and exposing selected Drata operations through a Martini API. Drata webhook or callback support was not confirmed in the reviewed public sources, so polling is the safer default.
No. A dedicated Drata connector is not required. Martini can use Drata’s confirmed native REST API and API-key authentication, then handle pagination, transformation, business rules, synchronization, and downstream delivery through workflows and APIs.
Lonti does not charge an additional per-connector or per-vendor fee to integrate Drata. The integration is subject to the provisioned capacity of the Martini environment. Separate costs may apply from Drata, cloud infrastructure, or other third-party systems depending on subscription, usage, and deployment model.
The confirmed and recommended method is Drata’s REST API with API-key authentication and JSON payloads. Use paginated, scheduled REST retrievals for reconciliation unless the tenant confirms another mechanism. GraphQL, SOAP, dedicated bulk APIs, direct database access, and generally available file or attachment APIs were not confirmed.
A generally available Drata webhook or outbound-callback API was not confirmed in the reviewed sources. If a customer tenant provides this capability, event types, signatures, payload completeness, retry behavior, and redelivery must be verified before using it. Martini can receive documented callbacks; otherwise scheduled REST polling is appropriate.
Martini can paginate through Drata collections, map actual objects such as Controls, Tests, Evidence, Personnel, and Risks to a canonical model, and apply target-specific transformations. Use Drata IDs or stable external identifiers for idempotency, store checkpoints, limit concurrency, back off on rate limits and transient failures, and route permission or validation errors for review.
Yes. Martini can expose a controlled API that retrieves or orchestrates selected Drata operations without exposing the Drata API key to downstream consumers. The façade can validate requests, enforce access controls, apply business rules, normalize responses, and shield consumers from tenant-specific API details.
Related Martini documentation
API Workflows
Mapping
Connect Drata to your enterprise systems
Use Martini to build maintainable Drata integrations around REST APIs, secure configuration, scheduled synchronization, data mapping, and controlled workflow orchestration.