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OpenSearch Security

Open Source

About OpenSearch Security

OpenSearch Security is built around four main features that work together to safeguard data and track activity within a cluster. The four features are encryption, authentication, access control, and audit logging and compliance. Used together, these features provide protection of sensitive data by placing it behind multiple layers of defense and granting or restricting access at different levels in the OpenSearch data structure. Most implementations use a combination of options for these features to meet specific security needs.

Used for

  • Encrypting data moving to, from, and within the cluster using the TLS protocol.
  • Validating the identity of users by verifying credentials against a backend configuration.
  • Tracking and analyzing activity within a cluster for audit logging and compliance purposes.
  • Performing searches from one node in a cluster across other clusters that have been set up to coordinate this type of search.

From OpenSearch Security's own website, read 2026-10-24. How we build listings.

How to evaluate SIEM & SOAR

This is how the CIOPages Research Team evaluates this category. It is not an assessment of OpenSearch Security. The category covers two kinds of product, so both frameworks are here. Most buyers need one of them.

Security Orchestration & Automation (SOAR)
25%
Integration Coverage & Quality
Pre-built connectors for your actual SIEM, EDR/XDR, identity, ticketing, email, and cloud tools — not the raw marketplace count; bidirectional actions (not read-only), API depth for the tools with no pack, version-pinning, and how connectors behave when a vendor API changes underneath them
20%
Playbook Authoring & Maintenance Burden
No/low-code visual builder vs. code-required, reusable sub-playbooks and modular components, version control and testing/staging, the real skill profile needed to build and (critically) maintain workflows, and how gracefully a broken playbook fails rather than silently dropping incidents
20%
Agentic AI & Alert Triage
AI-assisted playbook generation from natural language, autonomous Tier-1 investigation and enrichment, alert correlation and case summarization, model grounding/guardrails, and — non-negotiable — a human-approval gate before any AI-driven containment or remediation runs against production
15%
Case Management & Investigation
Case wall / war-room collaboration, auto-documentation of every action for audit and handoff, evidence and timeline capture, SLA tracking and metrics (MTTD/MTTR), and whether case management is native or bolted on from a separate ticketing tool
10%
Platform Fit & Deployment Model
Embedded-in-SIEM/XDR vs. independent fabric, SaaS vs. self-hosted vs. air-gapped options, multi-tenancy and tenant isolation for MSSPs, scale under alert bursts, and exit cost / portability of your playbook IP if you switch platforms
10%
Security, RBAC & Compliance
RBAC and SSO/SAML on the automation console itself, secrets/credential vaulting for the privileged actions playbooks take, immutable audit logging, and certifications (SOC 2 Type II, ISO 27001) — a SOAR holds keys to your whole stack, so its own blast radius matters
SIEM & Security Analytics
30%
Detection & Analytics
MITRE ATT&CK coverage, behavioral analytics (UEBA), ML detection models, custom detection rules, threat intelligence integration
20%
Investigation & Hunting
Search performance (sub-second on TB-scale data), visual investigation tools, threat hunting notebooks, AI-assisted investigation
20%
Response & Orchestration
Built-in SOAR capabilities, playbook automation, bidirectional integration with EDR/firewall/IAM, case management
15%
Data Management
Log source coverage (500+ integrations), parsing and normalization, data tiering (hot/warm/cold), compliance retention
15%
Scalability & Cost
Ingestion pricing model, elastic scaling, multi-tenant support, data filtering/routing, cost per GB ingested

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Quick Facts

opensearch.org/docs/latest/security/index Pricing page
CategoryCybersecurity
SubcategorySIEM & SOAR

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