Building a next-gen MSSP - without hiring

From talking to our own members, we know that Managed Security Service Providers (MSSPs) are increasingly seeking unified, scalable, and intelligent platforms to support multi-tenant security operations.

Elastic's search AI-powered security analytics provides MSSPs with the tools needed to enhance detection, investigation, and response across diverse client environments. 

Here's seven ways that Elastic Security helps MSSPs rise above the surface in a crowded marketplace.

1. Unified data and improved visibility

Elastic Security empowers MSSPs to ingest, normalise, and correlate data from endpoints, network taps, cloud assets, and threat feeds into a single analytics platform.

For example, Pinewood, a leading MSSP, saw a 20% increase in data coverage, 60% improvement in data quality, and 30% enhanced visibility after deploying Elastic SIEM. This centralised data lake simplifies operations and reduces blind spots across client environments.

2. True multi-tenancy

Managing multiple clients requires robust separation. Elastic Security supports both dedicated and shared deployments:

Dedicated clusters per client provide isolation and easier billing. Shared clusters with Kibana Spaces and document/field-level security offer cost efficiency without compromising data privacy.

This flexibility allows MSSPs to tailor environments based on client size, compliance needs, and infrastructure.

3. Open and AI-driven detection

Forrester praised Elastic’s “engineering-driven AI analytics” and its “open, community-driven detection engineering” aligned with MITRE ATT&CK.

Capabilities like Retrieval-Augmented Generation (RAG) and Attack Discovery speed up triage and enrich alerts with useful context. This enables MSSPs to reduce noise and boost detection fidelity - key for keeping up with today’s threat landscape.

4. Analyst-first workflows

Elastic’s Security application includes federated search, timeline analysis, graph visualisations, and case management—out of the box. Forrester cited these as critical for modern security teams. Pinewood highlighted how “implicit visibility across SOC clients” and intuitive tooling improved productivity. Shared SOC models further allow MSSPs to offer 24/7 coverage under a single pane of glass.

5. Flexible and cost-effective deployment

Elastic supports cloud, on-premises, hybrid, and air-gapped environments—without feature-based pricing barriers for SIEM/XDR.

Organisations like Airtel achieved 40% faster triage and 30% quicker investigations, attributing success to data consolidation and unlimited historical retention. This helps MSSPs reduce tool sprawl and maximise return on investment.

6. Scalable architecture with orchestration

Elastic Cloud Enterprise (ECE) and Kubernetes (ECK) enable MSSPs to onboard new customers quickly and adjust compute resources dynamically.

Elastic’s 2025 acquisition of Keep added advanced AIOps orchestration that's perfect for managing alert volumes and automating routine incident handling at scale.

7. Integrations and automation

Elastic integrates with technologies such as Corelight for rich network telemetry, enhancing threat hunting and investigation.

Open APIs also allow MSSPs to integrate with SOAR tools, threat intel platforms, and customer-facing dashboards, and thereby making automation and scalability easier to achieve.