Common Challenges with SIEM Security Management
A SIEM solution can be a major force multiplier for a security team.
By providing automatic data aggregation and analysis, it can enable analysts to rapidly identify potential threats that would otherwise be overlooked. However, a SIEM solution is not plug-and-play, it needs to be properly configured and used in order to effectively protect an organization against cyber threats.
Costs and Drawbacks
- High costs: In most cases, SIEMs start in the tens of thousands and can easily cost over $100,000, depending on the brand and amount of log data processed.
- Difficult to operate and manage: Expertise is essential to the success of a SIEM. In 2024 survey from CommandZero, 76% of respondents said they needed more resources and skills to integrate data sources into their SIEMs. In addition, SIEMs are notoriously noisy, generating many false alerts.
- Deployments are difficult: Basic setups of the SIEMs are fairly straightforward, however, “tuning” them to ingest the correct logs, designing access control, setting up correlations, integrating intelligence feeds and so other calibrations can be complex and time-consuming.
Selecting Data Sources
A SIEM solution is designed to aggregate multiple sources of cybersecurity data and provide context to security analysts. This can be a major asset for incident and detection and response since data from multiple sources can often enable the detection of cybersecurity incidents that seem like harmless anomalies from the perspective of a single tool.
However, while access to data is important, more data is not necessarily better. The more data feeds that a SIEM has to ingest and process, the longer it will take to respond to analysts’ queries.
An effective SIEM requires a carefully curated collection of input feeds designed to provide maximum visibility without including excess data. Developing such a feed requires in-depth knowledge of cybersecurity and the sources of valuable data within an organization’s network.
Defining Use Cases
SIEMs run on use cases. While a SIEM can automatically ingest data from an organization’s network, it needs to be told what to look for in that data. A SIEM use case defines a potential attack scenario and how to find it in the available data.
While some generalized SIEM use cases are available, it is also important to have tailored ones as well. The potential cybersecurity threats faced by a financial institution are very different from those seen in the retail sector. Maximizing SIEM effectiveness requires SIEM use cases tailored to the organization.
Defining these use cases requires deep cybersecurity expertise. The use case developer needs to know a potential attack vector, how it can be detected, and how to find that particular information within an organization’s network.
High Alert Volumes
A SIEM solution is designed to filter out extraneous and false-positive alerts. However, it is not a perfect solution. While a SIEM may emit fewer alerts than a collection of standalone systems, alert volumes can still be high.
Attempting to manually manage security alerts can quickly overwhelm an organization’s security team. The average SOC receives over 10,000 alerts each day, and each alert must be viewed, triaged, investigated, and potentially responded to.
Most organizations lack the resources to handle this volume of alerts. As a result, some alerts are ignored or overlooked, leaving the organization unaware of potential attacks. This challenge is compounded by the fact that most SOCs struggle with resource constraints that can create a false sense of security rather than true resilience.




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