The Multi-Tenancy Pricing Mismatch
For Managed Security Service Providers (MSSPs) operating for more than a year, the math is stark: SIEM bills escalate faster than client acquisition. This isn't a failure of efficiency; it's a consequence of licensing models designed for single enterprises, not for providers managing dozens or hundreds of distinct tenants. The economics simply don't scale.
Commercial SIEM platforms like Splunk, Microsoft Sentinel, and IBM QRadar typically charge per gigabyte of data ingested, often ranging from $1 to $4 per gigabyte per day. While this model is manageable for a single enterprise monitoring its own environment, it becomes unviable for MSSPs. Each new client introduces their own log volume and unique retention requirements, causing the MSSP's costs to skyrocket. The bill scales directly with the number of clients, not with the value delivered or the overall security posture improvement.
This fundamental pricing mismatch forces MSSPs into a difficult corner. Either they absorb the escalating costs, eroding their profit margins, or they pass these costs onto clients, becoming uncompetitive. Neither option is sustainable long-term. The pressure cooker of multi-tenancy economics is pushing a significant number of MSSPs to explore alternatives.
Building the In-House SIEM/SOAR Stack
The alternative gaining traction is the development of proprietary SIEM (Security Information and Event Management) and SOAR (Security Orchestration, Automation, and Response) stacks. This approach offers several key advantages that directly address the shortcomings of licensed solutions:
Cost Control and Predictability
By building their own solutions, MSSPs can gain granular control over their infrastructure costs. Instead of paying per gigabyte to a third-party vendor, they can leverage open-source components, optimize data storage, and tune ingestion rates to their specific needs. This allows for a more predictable cost structure tied to actual resource utilization rather than per-client log volume, which is far more scalable for an MSSP business model.
Customization and Flexibility
Licensed SIEM platforms, while powerful, often come with a one-size-fits-all approach. MSSPs serving diverse client bases with varying compliance needs, threat landscapes, and technical environments find these platforms restrictive. An in-house solution allows for deep customization. MSSPs can tailor data ingestion, retention policies, alerting logic, and incident response workflows to precisely match client requirements and their own operational expertise. This agility is crucial in the rapidly evolving threat landscape.
Feature Specialization and Integration
MSSPs can develop specialized features that provide a competitive edge. This might include unique threat intelligence integrations, bespoke compliance reporting modules, or highly efficient log parsing for specific industry verticals. Furthermore, a custom stack can be built for seamless integration with other tools in the MSSP's arsenal, such as EDR (Endpoint Detection and Response), vulnerability scanners, and threat hunting platforms, creating a more cohesive and powerful security ecosystem.
Data Ownership and Sovereignty
For clients with strict data sovereignty or privacy requirements, using a third-party SIEM can introduce complexities. Building an in-house solution allows MSSPs to offer greater assurance regarding data location, access controls, and compliance with regulations like GDPR or CCPA. This can be a significant differentiator, especially when dealing with sensitive industries like finance or healthcare.
The Technical and Operational Shift
Moving from a licensed SIEM to a self-built solution is not a trivial undertaking. It requires a significant investment in engineering talent, infrastructure, and ongoing maintenance. MSSPs embarking on this path typically need:
- Skilled Engineering Teams: Expertise in data engineering, distributed systems, security operations, and potentially cloud-native technologies is essential.
- Robust Infrastructure: Scalable storage, compute, and networking are required to handle diverse client data volumes and analysis needs. Cloud-native architectures (e.g., Kubernetes, object storage, managed databases) are often leveraged.
- Open-Source Tooling: Many MSSPs build upon open-source components like Elasticsearch, Logstash, Kibana (ELK stack), OpenSearch, Fluentd, or Apache Kafka to form the backbone of their SIEM.
- SOAR Capabilities: Integrating or building SOAR functionality is critical for automating incident response, playbook execution, and threat containment. Tools like TheHive, Cortex, or custom Python scripting often play a role.
- Continuous Development: The threat landscape and client needs evolve rapidly. The in-house solution requires ongoing development, patching, and feature enhancement to remain effective.
The Unanswered Question: Long-Term Viability
While the economic and flexibility arguments for building custom SIEM/SOAR stacks are compelling, a critical question remains: can MSSPs sustain this engineering investment over the long haul? The commercial SIEM vendors are also innovating, albeit with different pricing models. The continuous arms race in cybersecurity demands constant vigilance and adaptation. The challenge for MSSPs will be to ensure their custom solutions don't become a technical debt burden, outpaced by the rapid evolution of threats and the feature velocity of commercial alternatives, even if those alternatives come with a higher price tag.
For now, the trend is clear. The economics of licensed SIEM, particularly around multi-tenancy, are fundamentally misaligned with the MSSP business model. This misalignment is forcing a strategic shift towards in-house development, empowering MSSPs to control costs, tailor services, and build a more agile security offering for their clients.