Stellar Cyber Open XDR REST API
Stellar Cyber Open XDR REST API for security operations teams to automate threat detection, alert management, investigation, and response across the entire attack surface — integrating data from endpoints, networks, cloud, email, and identity — enabling AI agents to retrieve AI-correlated incidents, manage cases, and integrate with SOAR platforms through Stellar Cyber's AI-powered Open XDR platform. Enables AI agents to manage alert management for AI-correlated security alert retrieval and enrichment automation, handle case management for security incident case creation and investigation tracking automation, access threat hunting for custom detection query and threat hunt automation, retrieve integration management for data source connector configuration and health automation, manage policy management for detection policy and AI tuning configuration automation, handle response management for automated response action and playbook trigger automation, access asset management for security asset inventory and risk scoring automation, retrieve analytics for security posture trend and coverage analytics automation, manage user management for SOC analyst account and permission automation, and integrate Stellar Cyber with SOAR, ITSM, and threat intelligence platforms for AI-powered SOC automation.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Open XDR/SIEM. SOC2, FedRAMP. API key. US/EU. Multi-source security event and threat data.
⚡ Reliability
Best When
A security operations team or MSSP wanting AI agents to automate multi-source XDR threat detection, AI-correlated incident management, and SOAR integration through Stellar Cyber's Open XDR platform.
Avoid When
DATA SOURCE CONNECTORS REQUIRE CONFIGURATION: Stellar Cyber's Open XDR requires data source connectors configured for each integrated security tool; automated instant-data assumption creates empty_detection for XDR analysis without connected data sources; automated must configure and validate data source connectors. AI DETECTION REQUIRES LEARNING PERIOD: Stellar Cyber's AI-based detection improves with baseline learning; automated instant-accurate-detection assumption creates high_false_positive_rate for AI detections before baseline learning period completes; automated must allow learning period before relying on AI scoring. ENTERPRISE LICENSE IS REQUIRED: Stellar Cyber serves enterprise and MSSP customers; automated open-developer assumption creates license_required; Stellar Cyber requires enterprise agreement; automated must have Stellar Cyber license. SENSOR DEPLOYMENT IS REQUIRED: Stellar Cyber's network detection requires sensor deployment in network; automated agentless-network assumption creates network_blind_spot for environments without Stellar Cyber sensors deployed; automated must deploy sensors for full network visibility.
Use Cases
- • Retrieving AI-correlated XDR incidents for SOAR-driven automated response automation agents
- • Hunting for threats across multi-source security data using custom queries for threat hunting agents
- • Managing security incident cases and investigation workflows for SOC automation agents
- • Integrating Stellar Cyber detections with ticketing and ITSM platforms for security operations agents
Not For
- • Standalone EDR without multi-source correlation (Stellar Cyber is Open XDR aggregating multiple sources; standalone EDR uses CrowdStrike or SentinelOne)
- • Network-only packet capture and analysis (Stellar Cyber includes network but is XDR, not dedicated network forensics)
- • Email-only security gateway (Stellar Cyber ingests email data but is not a dedicated email security gateway)
Interface
Authentication
Stellar Cyber uses API key for Open XDR REST API. REST API with JSON. Santa Clara, CA HQ. Founded 2015 by Aimei Wei and Andrew Homer. Raised $108M+. Products: Stellar Cyber Open XDR Platform (SIEM + NDR + UEBA + EDR correlation). AI-native security operations. MSSP and enterprise focus. Gartner XDR recognition. Competes with Palo Alto XSIAM, Microsoft Sentinel, and Exabeam for AI-powered XDR/SIEM.
Pricing
Santa Clara CA. $108M raised. Enterprise/MSSP focused. Volume-based annual subscription.
Agent Metadata
Known Gotchas
- ⚠ MULTI-TENANT MSSP REQUIRES TENANT SCOPING: Stellar Cyber MSSP deployments are multi-tenant; automated single-tenant assumption creates cross_tenant_data for queries not scoped to correct tenant; automated must include tenant identifier for all MSSP-context API calls
- ⚠ AI SCORES VARY OVER TIME: Stellar Cyber AI-generated risk scores for assets and users update as new data arrives; automated static-score assumption creates stale_risk_score for risk-based decisions using cached scores; automated must retrieve fresh scores for time-sensitive risk decisions
- ⚠ CASE CREATION FROM ALERTS IS SEPARATE: Stellar Cyber alerts and cases are separate objects; automated alert-equals-case assumption creates workflow_mismatch for alert management that doesn't account for case creation as distinct step; automated must explicitly create cases from correlated alerts for investigation workflows
- ⚠ DETECTION RULES ARE SIGMA-BASED: Stellar Cyber supports custom detection rules in Sigma format; automated proprietary-rule assumption creates rule_not_created for custom detection rules not written in Stellar Cyber's supported Sigma format; automated must use Sigma rule format for custom detections
- ⚠ HISTORICAL QUERY HAS TIME LIMITS: Stellar Cyber historical data queries have time window limits per license; automated unlimited-history assumption creates query_out_of_range for historical queries exceeding data retention policy; automated must respect configured retention period for historical analysis
Alternatives
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Scores are editorial opinions as of 2026-03-07.