SentinelOne
Official@sentinel-one
Next Generation Endpoint Protection
Agent Skills by SentinelOne
Showing 8 vetted skills indexed across 1 GitHub repositories.
powerquery
Execute PowerQuery commands against SentinelOne's Singularity Data Lake.
sdl-dashboard
Creates, edits, and deploys Singularity Data Lake dashboards with JSON and Python validation.
mgmt-console-api
Query and manage SentinelOne console resources via REST and GraphQL APIs.
sdl-api
Manage and query SentinelOne Singularity Data Lake API data and configurations.
sdl-log-parser
Create and validate SentinelOne Singularity Data Lake log parsers from raw log samples.
hyperautomation
Create and manage SentinelOne Hyperautomation workflows via the Hyperautomation API.
soc-investigator
Automate DFIR investigations from SentinelOne alerts with configurable modes.
sdl-solutions
Orchestrate deployment and configuration of multiple SentinelOne SDL solutions.
Frequently Asked Questions About SentinelOne
FAQPage SchemaWhat specific security tasks are enabled by these capabilities?▼
These capabilities enable security teams to perform deep forensic investigations, normalize raw log telemetry, and manage endpoint protection configurations. Users can execute complex data queries, deploy custom dashboards, and orchestrate incident response procedures directly within the Singularity environment to reduce mean time to resolution for security threats.
Which technical personas benefit from these integrations?▼
Security Operations Center analysts, incident responders, and security engineers benefit most from these capabilities. These professionals utilize the provided interfaces to manage endpoint resources, validate log parsing logic, and build custom investigation playbooks that streamline the detection and mitigation of malicious activity across enterprise infrastructure.
What are the prerequisites for implementing these security integrations?▼
Implementation requires an active SentinelOne Singularity platform subscription and appropriate administrative credentials for the management console. Users must possess familiarity with GraphQL and REST protocols to interface with the management layer, alongside a working knowledge of log structures to effectively utilize the parsing and data lake query functions.