.png)
SentinelOne Integration Guide
Integrate SentinelOne Singularity security data and response operations with enterprise systems through API-token-authenticated REST APIs, selected webhook notifications, and Martini workflows.
SentinelOne integration options at a glance
SentinelOne’s primary integration mechanism is its REST API, which supports administrative, endpoint, threat, inventory, response, and selected security-visibility operations. API-token authentication controls access according to tenant, account, site, group, and role permissions. SentinelOne also provides webhook-style notifications for selected events, although coverage is not universal across all objects. Selected bulk or asynchronous operations and file or artifact capabilities may be available depending on the resource and licensed module. Martini can consume these APIs, receive supported notifications, follow pagination, apply authorization rules, map payloads, orchestrate response actions, and deliver normalized data to ITSM, SIEM, database, and analytics platforms.
Common SentinelOne integration patterns
Common SentinelOne data objects used in integrations
Authentication and security considerations
API-token authentication
SentinelOne management APIs primarily use an API token in the Authorization header with the ApiToken scheme. Martini should store the token as an environment secret and keep the tenant-specific API base URL configurable.
Least privilege and scope
Token permissions and scope determine access at the account, user, site, or group level. Use dedicated integration identities and separate read-only and response credentials where practical.
Protect security data
- Do not log API tokens or unnecessary endpoint, user, threat, or telemetry data.
- Restrict access to workflow logs and stored payloads.
- Require explicit validation and authorization before isolation, remediation, or other disruptive actions.
- Confirm webhook authentication and verification requirements for the applicable SentinelOne configuration.
Operational considerations for SentinelOne integrations
Pagination and checkpoints
SentinelOne APIs commonly use pagination and filtering. Workflows should process all pages, store supported cursors or timestamps, and use overlap windows with deduplication for time-based polling.
Rate limits and retries
Quotas can vary by tenant, API family, deployment, and subscription. Use bounded concurrency, exponential backoff for HTTP 429 and transient 5xx responses, and separate high-priority response actions from routine inventory work.
Idempotency and response safety
Use stable SentinelOne identifiers as idempotency keys and maintain downstream relationships for Threats and cases. Re-read current state before repeating remediation or isolation actions, and retry only operations known to be safe.
Schema and tenant changes
Keep regional and tenant-specific endpoints configurable, monitor status and enum changes, preserve unknown fields where possible, and test mappings against representative Agents, Threats, Activities, and visibility responses.
Webhook reliability
Notifications may be delayed, duplicated, or unavailable for a particular event type. Treat them as triggers to retrieve authoritative state and maintain reconciliation polling for high-value events.
Why use Martini instead of scripts or point-to-point integrations?
Beyond point-to-point scripts
Martini provides a governed workflow layer for SentinelOne integrations. It coordinates API calls, webhook intake, pagination, enrichment, mapping, target writes, response authorization, and operational error handling in one maintainable flow.
Reusable integration assets
SentinelOne-specific authentication, object mappings, validation rules, and response safeguards can be isolated into reusable workflow components and services rather than duplicated across scripts.
Controlled enterprise operations
- Expose normalized APIs without exposing SentinelOne credentials.
- Apply business rules and approval controls before privileged response actions.
- Support scheduled, event-driven, batch, and API-led integration patterns.
- Centralize retries, checkpoints, monitoring, and troubleshooting.