SIEM pricing often revolves around the data it processes. Vendors frequently use metrics like data ingestion rates, events per second (EPS), or gigabytes of data ingested per day to determine costs. The higher the data volume or event rate, the more processing and storage resources the SIEM solution requires, which escalates expenses.
The licensing model and deployment choice also heavily influence pricing. Subscription-based cloud SIEMs typically have predictable, recurring costs, whereas on-premises deployments may involve significant upfront investments for hardware and perpetual licenses. Hybrid models, combining on-premises and cloud, introduce mixed cost structures, depending on the extent of usage.
The cost of implementing a SIEM system is shaped by various factors. Different SIEM vendors might use one or more of these factors to price their solutions or services:
Related content: Read our guide to SIEM architecture
Pricing for SIEM solutions is based on the chosen licensing model. Here are some of the most common licensing models for SIEM.
EPS or data volume-based licensing is a pricing model where the cost hinges on the number of events processed within the system per second or the total data volume involved. This model directly ties system expenses to organizational data processing requirements. While it scales in line with data growth, it can lead to cost unpredictability if data volume surges unexpectedly.
This model suits organizations with stable data inflows that have accurately forecasted their event or data processing needs. Companies experiencing variable data loads may encounter challenges with this model due to its unpredictable cost nature.
Asset-based licensing ties costs to the number of assets or devices monitored within an organization. This offers a straightforward pricing mechanism, making budgeting simpler by linking expenses to tangible organizational components. Organizations can calculate licensing based on known quantities of devices, enabling clearer financial planning.
This model suits environments with stable asset numbers. However, an asset-based model can become costly with organizational growth or added complexity. Increasing devices or a shift in infrastructure can lead to unexpected cost jumps if not accounted for during initial planning.
User or workstation-based licensing models align SIEM costs with the number of users or endpoints within an organization. The model charges based on either the number of individuals accessing the system or the number of workstations logged for monitoring. This approach allows companies to correlate security costs with their workforce size or endpoint counts.
Challenges with this model arise as organizations expand or adjust staff numbers, potentially increasing costs unpredictably. Licensing based on users or workstations can also complicate scaling decisions.
Subscription-based licensing involves organizations paying a recurring fee, typically monthly or annually, for access to SIEM capabilities. This model offers financial flexibility and easier budgeting, as costs are fixed for the subscription duration. It enables rapid deployment and reduces initial financial outlay.
Subscription-based licensing can become costly over time if not managed properly. Unchecked subscription extensions might lead to unnecessary expenditure. Regular evaluation of the subscription scope ensures alignment with current organizational needs.
Pros: EPS/data volume licensing offers scalable pricing linked directly to data usage, making it responsive to changing security information demands. This adaptability ensures companies only pay for what they utilize. For organizations with predictable data patterns, this model can maximize cost efficiency.
Cons: In this model, unexpected data spikes can lead to steep cost escalations, injecting financial uncertainty into security budgets. Organizations must develop accurate forecasting techniques to leverage this model’s cost benefits. Data management strategies, including regular data flow assessments, can help navigate these challenges.
Pros: Asset-based licensing simplifies cost calculation by tying it to the count of organizational devices, offering a clear pricing structure. It allows predictable budgeting since expenses correlate with known asset quantities. Particularly suitable for infrastructure with a consistent number of devices, this model provides transparency and straightforward expenditure control.
Cons: This model can become costly if infrastructure changes significantly, requiring thorough asset evaluation over time. In cases where rapid technological adoption occurs, asset-based fees might spike, requiring careful foresight for scalability. This model requires periodic review to align asset tracking with security needs.
Pros: User-based licensing aligns SIEM pricing with the number of users within an organization, providing simple budgeting. This model caters to organizations with consistent user numbers, offering predictable costs tied to workforce sizes. It simplifies expenditure projection and aligns with HR metrics.
Cons: Scaling challenges can arise with workforce changes, potentially leading to unexpected cost hikes. Workforce growth or restructuring can prompt licensing readjustments, complicating cost strategies.
Pros: Subscription-based licensing offers financial flexibility with recurring fees that improve budget predictability. This model supports swift SIEM adoption with minimal upfront expenditure. Its predictable cost structure aids cash flow management.
Cons: In this model, prolonged subscriptions can accumulate significant costs if usage isn’t optimized. This is especially problematic if system usage or organizational demands don’t match the subscription plan.
Related content: Read our guide to SIEM tools
When adopting SIEM, organizations should also be aware of other unforeseen costs involved.
SIEM solutions require substantial infrastructure and maintenance costs, which are often overlooked in initial planning. These expenses cover servers, storage, and other hardware, alongside system maintenance and updates. Infrastructure costs can surge if scalability requirements are misjudged.
Skilled personnel are crucial for system operation and management, requiring salaries and training investments. As system complexity grows, training costs might increase to cover new features and security strategies. Employee training must be continuous to keep pace with evolving security threats and technologies, adding to long-term costs.
Additional hidden expenses arise from the need to tailor SIEM systems to fit organizational environments. These costs stem from adapting SIEM functionalities to existing IT infrastructure and security workflows. Customization requires comprehensive planning and specialized skills, driving up initial deployment costs. Integration fees can also accumulate when aligning SIEM with third-party applications critical for operational coherence.
Organizations should adopt the following strategies to ensure the most cost-effective SIEM setup.
To reduce SIEM costs, organizations should focus on efficient data management and retention strategies. Simplifying collected data limits unnecessary storage expenses, while intelligent data archiving reduces system load and extends hardware life. By prioritizing essential security information, organizations can reduce storage needs.
Regular reviews of data collection policies identify redundancies and eliminate outdated logs. Using data compression techniques further optimizes storage, minimizing resource demands.
Open-source or hybrid SIEM solutions offer cost-effective alternatives to traditional systems, enabling budget flexibility. Open-source platforms eliminate licensing fees, with customization potential. Hybrid models combine open-source and proprietary elements, balancing cost savings with features.
These solutions require careful evaluation of fit against organizational security strategies. Adopting open-source or hybrid solutions involves ongoing community support and internal expertise. Cost savings can be substantial when properly managed, though initial setup and maintenance may require additional resources.
Managed SIEM services provide an opportunity to reduce costs by outsourcing system management to specialized vendors. These services mitigate the need for internal expertise and infrastructure investments, offering scalable security capabilities. Managed SIEM reduces direct personnel expenses and leverages vendor expertise for threat detection and response.
However, evaluating managed service providers is crucial to align service offerings with organizational needs. Comparing vendor pricing models and service scope allows companies to optimize their security spend.
Periodic audits ensure configurations align with current security requirements and organizational changes. It prevents unnecessary expenses from outdated configurations and leverages SIEM capabilities more effectively.
Organizations should evaluate alert thresholds, dashboard settings, and integration points to simplify operations and reduce data noise. Proactive tweaks in configurations can improve system efficiency and cost-effectiveness.
Coralogix sets itself apart in observability with its modern architecture, enabling real-time insights into logs, metrics, and traces with built-in cost optimization. Coralogix’s straightforward pricing covers all its platform offerings including APM, RUM, SIEM, infrastructure monitoring and much more. With unparalleled support that features less than 1 minute response times and 1 hour resolution times, Coralogix is a leading choice for thousands of organizations across the globe.