Cybereason EDR/XDR REST API

Cybereason endpoint detection and response (EDR) and extended detection and response (XDR) REST API for security teams to automate malware prevention, threat detection, investigation, and response across endpoints, networks, and cloud environments — enabling AI agents to query malicious operations, manage remediation actions, and integrate threat data with SIEM and SOAR platforms through Cybereason's Operation-Centric detection platform. Enables AI agents to manage malop management for Cybereason MalOp (malicious operation) retrieval and investigation automation, handle remediation management for endpoint isolation, process kill, and file quarantine automation, access sensor management for Cybereason sensor deployment and health monitoring automation, retrieve investigation for process tree and activity timeline investigation automation, manage policy management for NGAV and detection policy configuration automation, handle threat hunting for custom query and threat hunting automation, access reputation management for file and IP reputation intelligence integration automation, retrieve alert management for detection alert retrieval and enrichment automation, manage machine management for endpoint inventory and group management automation, and integrate Cybereason with SIEM, SOAR, and ITSM platforms for XDR response automation.

Evaluated Mar 07, 2026 (0d ago) vcurrent
Homepage ↗ Other cybereason EDR XDR endpoint-detection threat-hunting NGAV
⚙ Agent Friendliness
50
/ 100
Can an agent use this?
🔒 Security
70
/ 100
Is it safe for agents?
⚡ Reliability
61
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
10
Documentation
68
Error Messages
62
Auth Simplicity
64
Rate Limits
58

🔒 Security

TLS Enforcement
99
Auth Strength
62
Scope Granularity
58
Dep. Hygiene
68
Secret Handling
64

EDR/XDR. SOC2, FedRAMP. Basic auth + session. US/EU/AU/JP. Endpoint detection and incident data.

⚡ Reliability

Uptime/SLA
62
Version Stability
64
Breaking Changes
58
Error Recovery
60
AF Security Reliability

Best When

A security operations team wanting AI agents to automate MalOp investigation, endpoint remediation, and threat hunting through Cybereason's Operation-Centric EDR/XDR platform integrated with SOAR and SIEM.

Avoid When

MALOP CENTRIC MODEL IS DIFFERENT: Cybereason groups detections into 'MalOps' (malicious operations) spanning multiple machines; automated alert-per-endpoint assumption creates missed_context for investigations that don't account for Cybereason's correlated multi-machine MalOp model; automated must understand MalOp as the primary investigation unit. SENSOR DEPLOYMENT IS REQUIRED: Cybereason requires sensor installation on managed endpoints; automated agentless assumption creates endpoint_not_monitored for endpoints without Cybereason sensor; automated must deploy sensors before endpoint data is available. API AUTHENTICATION USES SESSION COOKIES: Cybereason REST API uses session-based authentication with cookies; automated bearer-token assumption creates authentication_failure for requests not maintaining Cybereason session cookies; automated must login and maintain session cookies for API continuity. ENTERPRISE LICENSE IS REQUIRED: Cybereason serves enterprise customers; automated open-access assumption creates license_required; Cybereason licensing starts at enterprise level; automated must have Cybereason enterprise agreement.

Use Cases

  • Retrieving active MalOps (malicious operations) for SOAR-driven incident response automation agents
  • Automating endpoint isolation and process termination for confirmed threat containment agents
  • Hunting for threat indicators across endpoint fleet using custom queries for threat hunting agents
  • Enriching SIEM alerts with Cybereason threat context for SOC automation agents

Not For

  • Email security and phishing defense (Cybereason is endpoint/XDR, not email gateway security)
  • Network perimeter firewall and NGFW (Cybereason is endpoint and network detection, not perimeter control)
  • Vulnerability management and patch compliance (Cybereason is detection and response, not vulnerability scanning)

Interface

REST API
Yes
GraphQL
No
gRPC
No
MCP Server
No
SDK
No
Webhooks
No

Authentication

Methods: basic
OAuth: No Scopes: No

Cybereason uses Basic Auth + session cookie for EDR/XDR REST API. REST API with JSON. Boston, MA HQ (Israel R&D). Founded 2012 by Lior Div (ex-Israeli intelligence, Unit 8200). Raised $400M+. Backed by Softbank, CRV, Lockheed Martin Ventures. Products: Cybereason EDR, NGAV, XDR, MDR. Operation-Centric detection model. 1,000+ enterprise customers. Industries: financial services, government, healthcare, retail. Competes with CrowdStrike, SentinelOne, and Microsoft Defender for enterprise EDR/XDR.

Pricing

Model: subscription
Free tier: No
Requires CC: No

Boston MA. $400M raised. SoftBank backed. 1,000+ enterprise customers. Per-endpoint annual subscription.

Agent Metadata

Pagination
page
Idempotent
No
Retry Guidance
Not documented

Known Gotchas

  • SESSION COOKIE AUTHENTICATION IS REQUIRED: Cybereason API requires login with username/password to receive session cookie; automated API-key assumption creates authentication_failure for requests using API key instead of session cookie; automated must login and extract Set-Cookie header for subsequent requests
  • MALOPS ARE THE DETECTION UNIT: Cybereason correlates detections into MalOps (malicious operations) spanning multiple machines and timeframes; automated per-alert assumption creates incomplete_investigation for workflows treating individual events as separate incidents; automated must query MalOps as the primary investigation and response unit
  • CUSTOM QUERIES USE CYBEREASON QUERY DSL: Threat hunting queries use Cybereason's own query language; automated SQL-query assumption creates query_syntax_error for hunts not using Cybereason's query format; automated must use Cybereason query DSL for custom threat hunting
  • REMEDIATION ACTIONS ARE IRREVERSIBLE: Actions like process kill and file quarantine may be irreversible; automated safe-preview assumption creates unintended_impact for remediation actions deployed without confirmation; automated must implement approval workflow for irreversible remediation actions
  • SENSOR HEALTH IS SEPARATE FROM DETECTION: Cybereason sensor connectivity and detection capability are separate; automated connected-equals-protected assumption creates coverage_gap for sensors connected but in limited functionality due to policy misconfiguration; automated must check sensor health beyond simple connectivity

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Scores are editorial opinions as of 2026-03-07.

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