Forward-looking MSSPs are moving to Elastic Security

Traditional SIEM vendors were not designed with managed service economics in mind. Per-user, per-device, or EPS-based licensing models create a fundamental tension: As your customers grow, your costs balloon in ways that are difficult to predict and passing on that cost is often a difficult conversation. Add in separate endpoint protection SKUs, premium AI add-ons, and complex multitenancy workarounds, and the economics quickly erode your margins.

Elastic Security was built differently. As a Forrester Wave Leader in Security Analytics Platforms — and the only vendor achieving 100% protection rates across all AV-Comparatives 2025 Business Security Tests — Elastic offers MSSPs something legacy platforms simply cannot: an agentic security operations platform with resource-based pricing that scales with your business instead of going against it.

Elastic's resource-based model charges for compute and storage consumed — not for users, devices, or events. For MSSPs, the implications are significant:

• No ingestion caps: Ingest everything across all customer environments without overage anxiety or forced sampling.

• Linear cost scaling: Onboard new customers without exponential licensing hits. Costs track resources, not headcount.

• Frozen tier retention: Years of searchable archive storage at a fraction of hot-tier cost, enabling compliance and forensic capabilities at scale.

• Deployment flexibility: Cloud, on-premises, or hybrid — match each customer's requirements without changing your licensing model.

Every SIEM vendor claims AI capabilities in 2026. The difference with Elastic is that its AI is deeply integrated into the security operations lifecycle rather than grafted on as a premium add-on.

Instead of presenting analysts with thousands of raw alerts, Attack Discovery uses AI to correlate alerts across users, hosts, and timeframes into discrete attack chains — surfacing the handful of real threats buried in the noise. It either runs on a schedule or on demand and notifies teams via Slack, Teams, PagerDuty, or email. For MSSP analysts covering multiple customer environments simultaneously, this is transformational.

The Elastic AI Assistant is a large language model (LLM)-powered virtual analyst that supports investigation, alert triage, incident response, and ES|QL query generation. It uses retrieval-augmented generation (RAG) to ground responses in actual customer data, not generic LLM knowledge. MSSPs can populate the knowledge base with customer-specific runbooks, escalation procedures, and infrastructure context.

Winning new customers migrating from other SIEMs used to mean expensive professional services engagements. Elastic's Automatic Migration maps detection rules from Splunk and IBM QRadar in minutes. Combined with Automatic Import — which builds data integrations from sample logs using agentic workflows — the time and cost of customer onboarding drops dramatically.

From version 9.3, two capabilities fundamentally change what's possible for managed security services.

• Automation built directly into Elastic Security: Defined in YAML, Workflows can run based on detection alert triggers, scheduled triggers, or manual triggers. 

• Scripted automation and AI reasoning combined: A single Workflow combines playbook steps and AI reasoning. Defined tasks get reliable execution. Complex investigations get specialized AI skills. No forced tradeoff.

• Automated triage and enrichment pipelines (e.g., VirusTotal and threat intel): Reduce analyst touch-time on commodity alerts.

• Multi-customer case management with customer-specific escalation logic

• Compliance-driven reporting automations that generate and distribute periodic security summaries automatically

• Endpoint isolation, Jira case creation, and Slack/PagerDuty notifications — all in a single Workflow

• Configure and deploy purpose-built AI agents without machine learning expertise, scoped to specific customer Kibana Spaces.

• Threat Enrichment Agents that autonomously query intel sources and cross-reference indicators

• Attack Path Analysis Agents that chain alerts into MITRE ATT&CK-mapped narratives

• Tier 1 triage agents that cut mean-time-to-triage on commodity alerts to near-zero

• Vertical-specific agents (manufacturing OT, financial services, healthcare) packaged as premium service tiers

The combination of Workflows and Agent Builder means MSSPs can deliver more — faster, more consistently, and without adding headcount. A bespoke threat-hunting agent tuned to a specific vertical becomes a defensible differentiator that competitors cannot easily replicate and can be packaged as a premium recurring revenue stream.

Kibana Spaces with role-based access control (RBAC) provide data isolation and customer-specific views within a shared cluster. For larger deployments, cross-cluster search (CCS) enables federated queries across dedicated customer environments. Elastic's distributed architecture scales horizontally, supporting real-time and historical search across massive data volumes through data streams, searchable snapshots, and frozen tiers.

For MSSPs not ready for a full platform migration, Elastic AI SOC Engine (EASE) provides a frictionless entry point — overlaying Elastic's AI capabilities onto existing SIEM and EDR stacks without requiring customers to rip-and-replace their current infrastructure.

The numbers from MSSPs already running Elastic Security are hard to ignore. Proficio, a global MSSP, deployed the Elastic AI Assistant for alert triage at scale and achieved 60% business growth as a direct result with investigation time dropping by 34% and $1M in projected savings over three years. Critically, their analysts are handling significantly higher alert volumes without a proportional increase in headcount. That's the compounding effect of AI-driven efficiency: more customers, better margins, same team.

AHEAD tells a similar story. The managed services provider cut triage time by 73% and automated 92% of resolutions entirely, maintaining a mean time to respond under seven minutes. That's not just an internal efficiency metric; it's an industry-leading benchmark that becomes a genuine selling point when competing for new customers who want demonstrable SLA performance.

For larger-scale operations, Airtel boosted SOC efficiency by 40% and accelerated investigations by 30% using Elastic's AI-driven workflows, demonstrating that the platform scales well beyond the mid-market into large enterprise and service provider environments without losing its edge.

And for MSSPs worried about the practicalities of migration, Pinewood migrated their entire customer base within nine months with individual customer onboardings measured in weeks rather than months.

Elastic Security is built on an open architecture: 

• Over 500 prebuilt integrations 

• Elastic Common Schema (ECS) for normalized data across heterogeneous environments 

• Open source detection rules aligned to MITRE ATT&CK

• Comprehensive REST APIs for full automation of deployment and management workflows

This openness matters commercially. MSSPs can create proprietary detection content and custom agent configurations as competitive differentiators. You own your IP, and it travels with your customer relationships.

Elastic's MSP partner program provides guided enablement, service co-creation workshops, joint go-to-market support, and a verified MSP designation that provides visibility on the Elastic Partner Locator. The recommended path for evaluation is straightforward:

• A proof-of-concept (POC) with two to three representative customer environments

• A total cost of ownership (TCO) comparison against your current platform

• Engagement with the MSSP partner team to understand commercial terms

• A platform demonstration tailored to your specific use cases

The MSSP market is growing rapidly, but so is competition. The platform decision you make today will determine whether you capture that growth with healthy margins or spend the next three years fighting legacy licensing models while competitors pull ahead.