Technical Review by
Laura Iannini
Security information and event management (SIEM) solutions enable organizations to improve their threat detection and incident response processes. They do this by aggregating and analyzing event data, providing security teams with the contextual information they need to quickly identify, investigate, and efficiently remediate cybersecurity threats.
SIEM tools collect event data from a company’s systems, applications, infrastructure and endpoints, as well as contextual information such as regular user behaviors and existing threat intelligence, then use this data to detect and alert security teams to potential threats. By combining data collection with real-time analysis and threat intelligence, SIEM solutions enable organizations to detect malicious activity far more efficiently than if they were to rely on analyzing each of their security tools individually.
The strongest SIEM solutions have strong reporting features, which provide security teams with detailed forensics of security incidents that they can use to inform and improve their incident response strategies. Many modern SIEM solutions also have built-in SOAR, which automates certain incident response processes and reduces the amount of time that security teams spend on manual, repetitive tasks, freeing up their time and resources for other business-critical activities.
As well as detecting security risks and enabling security teams to make data-driven decisions when it comes to incident response, SIEM tools can be used to demonstrate compliance with data protection regulations such as HIPAA, GDPR, and PCI DSS. They do this by automating data collection and producing detailed compliance reports.
A SIEM (Security Information and Event Management) platform collects log data from across your IT environment, including servers, endpoints, firewalls, cloud services, and applications, then analyzes that data to detect security threats in real time. When something suspicious happens, the SIEM correlates events from multiple sources, generates an alert, and provides your security team with the context they need to investigate and respond. SIEMs also help with compliance by automating audit reporting and maintaining long-term log storage.
SIEM platforms aggregate and normalize log data from heterogeneous sources using agents, syslog forwarding, API connectors, and cloud-native integrations. Correlation engines apply rule-based, statistical, and ML-driven detection logic to identify threats across the kill chain, mapping findings to frameworks like MITRE ATT&CK for structured triage. Modern SIEMs extend beyond traditional log correlation into UEBA for behavioral anomaly detection, integrated SOAR for automated response playbooks, and threat intelligence enrichment for contextual prioritization. Architecture choices range from on-premises deployments with full data sovereignty to cloud-native platforms built on data lake architectures that handle petabyte-scale ingestion. Pricing models vary significantly: ingestion-based pricing scales with log volume but creates cost unpredictability during spikes; asset-based pricing offers more stability; and some platforms offer pooled or credit-based models. The key differentiator between platforms is whether they reduce analyst workload through intelligent correlation and automation, or simply aggregate more data for manual review.
The table below compares the 12 SIEM platforms we reviewed across key capability areas.
| Product | Best For | Type | SOAR Built-in | UEBA | Cloud-Native | Managed Option |
|---|---|---|---|---|---|---|
|
ManageEngine Log360
|
Mid-market teams needing SIEM with DLP and CASB
|
On-Prem/Cloud SIEM
|
Yes
|
Yes
|
No
|
No
|
|
Huntress Managed SIEM
|
MSPs and lean IT teams needing 24/7 managed detection
|
Managed SIEM
|
No
|
No
|
Yes
|
Yes
|
|
CrowdStrike Falcon Next-Gen SIEM
|
Mature SOCs handling petabyte-scale data
|
Cloud-Native SIEM
|
Yes
|
Yes
|
Yes
|
No
|
|
Elastic Security
|
Technical teams needing open-source customization
|
Open-Source SIEM
|
No
|
Yes
|
Yes
|
No
|
|
Google Security Operations
|
Google Cloud environments needing scalable detection
|
Cloud-Native SIEM
|
Yes
|
No
|
Yes
|
No
|
|
Logmanager
|
Compliance-driven organizations needing lightweight log management
|
Log Mgmt + SIEM
|
No
|
No
|
No
|
No
|
|
Microsoft Sentinel
|
Microsoft and Azure environments
|
Cloud-Native SIEM
|
Yes
|
Yes
|
Yes
|
No
|
|
Rapid7 InsightIDR
|
Small to mid-sized teams needing approachable cloud SIEM
|
Cloud SIEM + XDR
|
No
|
Yes
|
Yes
|
Yes
|
|
SentinelOne Singularity AI SIEM
|
Diverse security stacks needing open data ingestion
|
AI SIEM
|
Yes
|
No
|
Yes
|
No
|
|
Sumo Logic Cloud SIEM
|
Budget-conscious teams needing capable cloud SIEM
|
Cloud SIEM
|
Yes
|
No
|
Yes
|
No
|
|
Splunk Enterprise Security
|
Enterprise SOCs needing deep customization
|
Enterprise SIEM
|
Yes
|
Yes
|
Yes
|
No
|
We assessed each SIEM solution based on threat detection and correlation capabilities, deployment flexibility, integration breadth, SOAR and automation features, and pricing models. We reviewed customer feedback on reliability, support quality, and long-term operational patterns. This article was researched and written by Caitlin Harris, with technical review by Laura Iannini. Read our full methodology
Kaseya SIEM is built for MSPs and organizations with lean IT teams. It provides full visibility over networks, endpoints and clouds, pulling together over 60 pre-built integrations into a single unified cloud dashboard. Alongside visibility, it also has a threat correlation, automated response, and AI powered threat investigation. Kaseya supports the SIEM platform with a 24/7 SOC team, so smaller teams and MSPs can get analyst-level support for security incidents. The platform is built on Kaseya’s managed detection and response (MDR) platform, and SaaS Alerts product suite, so is a good option for teams already in the Kaseya product ecosystem.
Kaseya SIEM is a strong solution for MSPs and IT teams that need enterprise-grade threat detection without the complexity or cost of a traditional enterprise SIEM. The platform offers wide visibility across data sources, with both pre-built integration.
The AI-powered threat investigations and the co-managed SOC component make it a strong choice for IT teams who want strong security monitoring without needing to run a full in-house SOC team. We’d particularly recommend the solution for teams already in the Kaseya ecosystem. The jump to Kaseya SIEM would be low-friction and deliver cross-surface visibility they’d otherwise need multiple tools to achieve. We’d recommend Kaseya SIEM for MSPs and IT teams who want a manageable, cost-effective SIEM with built-in SOC support, particularly those already using Kaseya products who want to consolidate their security stack.
ManageEngine Log360 is a SIEM platform from Zoho’s IT management division that bundles log collection, threat detection, DLP, and CASB into a single console. We think the integrated data protection capabilities are the standout here, removing a common visibility gap most teams deal with when running separate point solutions for SIEM and DLP.
The single pane of glass approach gets consistent praise. Teams running multiple ManageEngine products appreciate having logs, alerts, and audit data in one place. Setup is simple for most environments, and the alerting workflows help catch issues before they escalate. Some users report that large report generation is slow and storage demands grow quickly over time. According to customer feedback, multi-cloud support beyond AWS has limitations for some deployment scenarios.
We think Log360 works best for mid-market and enterprise teams already in the ManageEngine ecosystem that need a SIEM handling DLP and cloud access governance without multiple vendor contracts. If your team needs that combined scope in one platform, Log360 delivers real range.
Huntress Managed SIEM is a fully managed security information and event management platform designed for MSPs and IT teams that need continuous visibility, threat detection, and expert-led response without the burden of day-to-day SIEM operations. We think Huntress stands out for how effectively the SOC’s alert triage filters out noise compared to unmanaged solutions. Huntress SIEM is delivered as part of Huntress’s broader managed security platform which includes EDR, identity threat detection and response, and security awareness training.
We think Huntress Managed SIEM is a strong option if you want a low-maintenance, high-impact SIEM with full 24/7 SOC coverage. It’s especially well suited if you already use Huntress EDR or want a unified, fully managed security stack with EDR and identity threat protection. The per-endpoint, per-month pricing with no hidden fees or log-based pricing is good to see.
Best for mature SOCs handling petabyte-scale data
CrowdStrike Falcon Next-Gen SIEM is a cloud-native SIEM that pairs CrowdStrike’s own threat intelligence with third-party event data to give enterprise SOC teams unified detection, investigation, and response. EY selected Falcon Next-Gen SIEM in late 2025 to power its global cybersecurity managed services. We think the index-free search architecture is the standout, handling petabyte-scale data without the lag that plagues traditional SIEMs.
Customers praise the raw search speed consistently, with matching millions of indicators against ingested logs without noticeable delay as a real operational advantage. According to customer feedback, the learning curve is real though. Customers flag UI choices that aren’t always intuitive, and performance can lag under heavy query loads. Custom log parsing for less common data sources requires manual tuning. Pricing sits at the premium end, especially for organizations with heavy log retention needs.
We think Falcon Next-Gen SIEM fits best if you run a mature SOC and need a SIEM that keeps pace with large-scale, complex environments. The speed and native CrowdStrike integration are hard to match. If you already run CrowdStrike Falcon, setup is simple since your telemetry is already in the platform. SMBs should look at Falcon Go instead.
Best for technical teams needing open-source customization depth
Elastic Security is an open-source platform that combines SIEM, XDR, and cloud security into a single interface. Elastic was named a Visionary in the 2025 Gartner Magic Quadrant for SIEM and is partnering with CISA on a SIEMaaS offering valued at up to $130 million for U.S. civilian agencies. We think the federated search capability is where Elastic earns its place.
Customers consistently highlight the customization depth as both a strength and a challenge. Teams praise the ability to ingest almost any data source and build detections that match their environment exactly. Some customer reviews note that maintaining ingest pipelines, index lifecycle management, and shard mapping requires dedicated expertise. Some users flag field naming inconsistencies across integrations that complicate correlation. Based on customer reviews, compute-based pricing creates unpredictable costs during log spikes or heavy queries.
We think Elastic fits best if your team has the technical depth to manage the platform’s complexity. The flexibility is unmatched, but under-resourced teams will struggle with the ongoing maintenance burden. For teams with engineering muscle, the customization potential is a clear advantage over more opinionated platforms.
Best for Google Cloud environments needing scalable threat detection
Google Security Operations, formerly Chronicle, is a cloud-native SIEM platform built on Google’s infrastructure for ingesting, normalizing, and analyzing large volumes of security telemetry at scale. Google was named a Leader in the 2025 Gartner Magic Quadrant for SIEM. We think the raw scale is the core strength here, handling massive telemetry volumes without requiring custom infrastructure.
The scalability and search speed get consistent praise from customers running high-volume environments. Centralized detection and investigation workflows help analysts move through incidents faster. Some customer reviews highlight that the learning curve is steep for teams not already familiar with Google Cloud services. Some users report that customer support response times can be slow and impact timely issue resolution.
We think Google SecOps fits best if your organization already runs on Google Cloud and needs a SIEM that matches that scale. The integrated SOAR and threat intelligence capabilities reduce tool sprawl for large teams. If you’re not in the Google ecosystem, the onboarding friction is worth weighing carefully.
Best for compliance-driven organizations needing lightweight log management
Logmanager is a lightweight SIEM and log management platform built for small to mid-sized organizations that need centralized log collection, threat detection, and compliance reporting without heavy operational overhead. We think this is a practical pick for compliance-driven teams in finance, healthcare, and government where regulatory requirements drive the need for secure, long-term log storage.
Customers consistently highlight speed of deployment and ease of daily use, describing going from installation to active log analysis quickly with an interface that stays intuitive as environments grow. The price-to-performance ratio gets positive attention from budget-conscious organizations. Customer feedback is overwhelmingly positive, which means limited visibility into long-term pain points at scale. Some customer reviews note that the platform is less well-known than larger SIEM competitors, so community resources and third-party documentation are thinner.
We think Logmanager fits best if your organization needs simple log management with strong compliance coverage and doesn’t want the complexity of enterprise SIEM platforms. The Free Plan with 20GB of storage makes it easy to evaluate before committing. It’s not built for massive SOC operations, but for its target market, the simplicity is the point.
Best for Microsoft and Azure environments needing native SIEM integration
Microsoft Sentinel is a cloud-native SIEM and SOAR platform built on Azure’s data lake architecture. We think the ecosystem advantage is the real selling point here, with native integration across Azure, Entra ID, Defender, and M365 delivering immediate visibility with minimal onboarding effort. Microsoft Sentinel is now generally available in the Microsoft Defender portal, including for customers without Microsoft Defender XDR or an E5 license.
Customers praise the scalability and range of integrations, particularly how quickly Azure-native logs and incidents become visible. The large community of shared rules, workbooks, and playbooks on GitHub accelerates setup. Some customer reviews note that the KQL learning curve slows adoption for teams without prior query language experience. Based on customer feedback, advanced SOAR automation through Logic Apps requires heavy customization and troubleshooting. Cost management is the most frequent concern overall.
We think Sentinel fits best if your organization runs heavily on Microsoft and Azure. The native integrations and shared security stack create real operational efficiency. The Azure portal retirement is scheduled for March 2027, so teams should plan to transition to the Defender portal. Cost management needs careful attention, particularly on ingestion-based pricing.
Best for small to mid-sized teams needing approachable cloud SIEM
Rapid7 is a cybersecurity company that specializes in solutions to improve security through visibility, analytics, and automation. InsightIDR is Rapid7’s combined SIEM and XDR platform, delivered via the cloud. We found InsightIDR one of the more approachable SIEMs to get running, with out-of-the-box configurations and pre-built integrations getting you up and collecting logs quickly.
Customers consistently praise the ease of implementation and log search. Teams describe clear, understandable alerts and a single console that replaces jumping between multiple dashboards. The learning curve is noticeably lower than enterprise-tier competitors. According to customer feedback, limitations surface when teams need advanced customization for complex correlation rules and pattern-based alerting. Some users report that third-party integrations require manual parsing and extended tuning periods.
We think InsightIDR fits best if your team needs a capable SIEM without the operational burden of enterprise platforms. The optional MDR add-on extends coverage for resource-constrained teams, which makes it a particularly strong fit for small to mid-sized organizations that may benefit from managed detection and response alongside the SIEM. Asset-based pricing is a real advantage for organizations that want cost predictability as data volumes grow.
Best for diverse security stacks needing open data ingestion
SentinelOne Singularity AI SIEM is an AI-powered SIEM built on SentinelOne’s Singularity Data Lake, providing real-time threat detection across endpoint, cloud, network, identity, and email data. SentinelOne acquired Observo AI in late 2025 to integrate AI-native data pipeline capabilities directly into the platform. We think the open data ingestion model is the headline differentiator, accepting third-party data without forcing you into a closed ecosystem.
Customers on the broader SentinelOne platform praise the autonomous detection and response capabilities. The Storyline feature, which maps event chains visually, helps analysts understand attack paths quickly. Support during deployment gets positive feedback, and the platform works across Windows, Mac, and Linux from a single policy. Some customer reviews note that the interface has a learning curve and isn’t always intuitive for new users. Based on customer reviews, false positive tuning takes time, and device control policies can confuse teams.
We think Singularity AI SIEM fits best if your organization runs a diverse security stack and needs a SIEM that ingests broadly without lock-in. The Observo AI acquisition strengthens the data pipeline capabilities, and the AI automation reduces analyst workload for high-volume SOCs. The open ecosystem approach is a real differentiator in a market where many SIEMs favor their own telemetry.
Best for budget-conscious teams needing capable cloud SIEM
Sumo Logic is a data analytics company that focuses on collecting and analyzing machine data for security, operations, and business intelligence use cases. Sumo Logic Cloud SIEM is their cloud-native SIEM built to identify threats across on-premises, cloud, and hybrid environments. Sumo Logic completed its acquisition of DFLabs in June 2025, merging IncMan SOAR with its cloud-native infrastructure. We think the competitive pricing is a clear advantage for budget-conscious teams that need capable cloud SIEM.
Customers highlight the value proposition, with some teams reporting full log management for a fraction of what competing platforms charge. Real-time analytics and error logging help teams catch issues before they escalate, and the documentation gets consistent praise. Some users report that the UI feels dated and clunky compared to modern log analytics platforms. According to customer feedback, the proprietary query language creates a learning curve for teams migrating from Splunk or Elastic. Some customers flag alerting delays and limited APM integration.
We think Sumo Logic fits well if your team needs capable cloud SIEM without enterprise-tier pricing. Licensing is tiered and either subscription-based or credit-based, and the flexible packaging works across different organization sizes. Free training and certification lower the onboarding cost for new teams. If UI polish and query language familiarity matter to your analysts, weigh those trade-offs carefully.
Best for enterprise SOCs needing deep customization and flexibility
Splunk Enterprise Security is a long-established SIEM platform now owned by Cisco, which completed its acquisition of Splunk in March 2024. Splunk is a software provider that helps organizations collect, monitor, search, and analyze their data. Enterprise Security is their SIEM, and it offers real-time threat detection, incident response, and security analytics for large organizations with complex environments. Splunk was named a Leader in the 2025 Gartner Magic Quadrant for SIEM for the eleventh consecutive time. We think the SPL query language and the Splunkbase ecosystem are the defining strengths.
Customers praise the visibility and customization depth. Teams scale from hundreds of gigabytes to multiple terabytes of daily ingestion, though that requires careful planning and infrastructure tuning. Some customer reviews note that the SPL learning curve is steep for new analysts without scripting or Splunk backgrounds. Based on customer feedback, on-premises deployments require significant compute, storage, and high-availability planning. Pricing is the most common concern overall.
We think Splunk fits best if your organization has the budget and skilled analysts to maximize its flexibility. The Cisco acquisition adds deeper integration with Cisco’s security portfolio and Talos threat intelligence. The customization depth is unmatched for mature SOC teams. Splunk Enterprise Security is available as-a-Service and can also be deployed via the Splunk Cloud. The new Essentials and Premier editions simplify packaging, but this remains an enterprise-grade investment.
We researched many SIEM solutions while compiling this guide. Here are a few other platforms worth considering.
Enhances enterprise security with actionable intelligence and behavioral analytics.
Open-source SIEM providing centralized log management, real-time search, and analytics.
Unified monitoring platform offering infrastructure and security insights including log analysis.
Integrates UEBA and SOAR to deliver threat detection and automation.
Cloud-native solution that empowers security teams with machine learning-based analytics.
SIEM pricing models vary significantly: some charge by data ingestion volume, others by assets monitored, and some offer flat-rate or credit-based options. Ingestion-based pricing can lead to unpredictable costs during log spikes.
| Product | Starting Price | Billing | Link |
|---|---|---|---|
|
ManageEngine Log360
|
Contact for quote
|
Annual
|
|
|
Huntress Managed SIEM
|
Per-endpoint, per-month pricing; contact for quote
|
Monthly
|
|
|
CrowdStrike Falcon Next-Gen SIEM
|
10GB free daily ingestion included; contact for quote
|
Annual
|
|
|
Elastic Security
|
Free and open-source tier available; cloud pricing compute-based
|
Monthly/Annual
|
|
|
Google Security Operations
|
From ~$30/employee/year (Standard tier)
|
Annual
|
|
|
Logmanager
|
Free Plan with 20GB storage; paid plans contact for quote
|
Annual
|
|
|
Microsoft Sentinel
|
Pay-as-you-go or commitment tiers via Azure; many Microsoft tables free
|
Monthly
|
|
|
Rapid7 InsightIDR
|
Asset-based pricing; contact for quote
|
Annual
|
|
|
SentinelOne Singularity AI SIEM
|
10GB free daily storage; contact for quote
|
Annual
|
|
|
Sumo Logic Cloud SIEM
|
Subscription or credit-based; contact for quote
|
Annual
|
|
|
Splunk Enterprise Security
|
From ~$20-40/GB/day (add-on to platform)
|
Annual
|
|
These are the evaluation steps we recommend when selecting a SIEM platform.
Self-managed SIEMs offer maximum control and customization but require dedicated staff; managed SIEMs offload operations but reduce flexibility.
Ingestion-based pricing creates cost unpredictability as data volumes grow; asset-based or pooled models offer more stability for scaling environments.
SIEMs that connect natively to your EDR, identity, cloud, and network tools reduce onboarding time and manual log parsing effort.
Pre-built rules accelerate deployment, but teams with mature SOC operations need the ability to write custom detections that match their specific environment.
The speed at which analysts can move from alert to confirmed incident determines the SIEM's operational value; vendor demos don't replicate production complexity.
Built-in SOAR reduces tool sprawl; if the SIEM lacks native automation, verify that it integrates with your preferred SOAR platform without custom development.
Built-in support for GDPR, NIS2, HIPAA, PCI DSS, and ISO 27001 saves significant reporting effort compared to building custom compliance dashboards.
Regulatory requirements may mandate years of log retention; confirm the platform supports your retention needs without prohibitive storage costs.
SPL, KQL, ES|QL, and proprietary query languages all have different learning curves; match the SIEM's query language to your team's existing skills.
SIEM licensing is only part of the cost; implementation effort, ongoing tuning, analyst training, and infrastructure requirements often exceed the subscription price.
The SIEM market has shifted significantly in recent years, with cloud-native platforms, AI-driven detection, and integrated SOAR capabilities becoming table stakes for modern security operations. The solutions in this guide range from lightweight, compliance-focused log management to petabyte-scale enterprise platforms. For lean teams and MSPs, managed SIEM options remove the operational burden of running a SOC. For mature security teams, the flexibility of platforms with deep query languages and broad integration ecosystems justifies the higher investment. We recommend evaluating two or three platforms based on your deployment model, pricing tolerance, and integration requirements, then running a proof of concept with real data volumes before committing.
SIEM stands for “security information and event management”. These solutions enable you to collate and manage security information and events. They aggregate and analyze security and event data, making it easier for IT teams to identify anomalous behavior that could indicate that their network has been breached.
The best SIEM solutions don’t just offer logs of event data, they also carry out comprehensive analysis of the data, alert IT teams to unusual behavior, and provide them with detailed context of any security incidents that will help them identify the root cause of the incident. This data makes it much easier to carry out accurate remediation procedures. While SIEM tools themselves don’t usually offer incident response functionality, they often offer integrations with third-party tools (such as SOAR solutions) to help the IT and security team orchestrate remediation actions efficiently, based on data they’ve received from their SIEM tool.
A SIEM solution deploys agents to aggregate log and event data from various sources across your organization’s IT environment, including networks, host systems, infrastructure, applications and endpoints, as well as third-party security tools. The agents forward this data to a central repository, where the platform normalizes it to make it easier for your security team to compare security information from different sources that may have originally been presented in different formats.
Once normalized, the SIEM tool analyzes the security data in real-time to detect anomalous behaviors that could indicate the presence of a security threat. If suspicious behaviors are detected, the SIEM solution sends security alerts to your SOC team, along with contextual information that can help the team carry out a forensic investigation of those behaviors. This knowledge can help security teams remediate threats more quickly and effectively.
As well as data aggregation, real-time monitoring and threat detection, the strongest SIEM tools provide security orchestration capabilities such as threat response workflow automation, which enable security teams to automate menial tasks so they can focus their human resource on active remediation. They sometimes also offer suggestions as to how a security team should respond to individual incidents, based on a risk assessment of each incident and a triaging process that prioritizes alerts according to their severity.
There are three main benefits to using SIEM systems: first, they enable you to proactively detect threats to your environment; second, they help make your incident response processes more efficient; and third, and make it easier to keep on top of compliance requirements. Here’s how:
Proactive Threat Detection
SIEM tools proactively collect data from across your organization’s entire infrastructure and centralize it, giving your security team a central, holistic view of all security events across your IT environment. This means that they’re much more likely to pick up on security incidents that may otherwise get lost in a sea of noise.
As well as collecting and logging event data, modern SIEM solutions use machine learning-based analytics to analyze that data for anomalous and potentially malicious activity. This helps SOC teams identify and respond to threats before they can cause damage, rather than becoming aware of them much later in the attack timeline, and only because of the disruption caused.
Finally, SIEM solutions also help organizations to prevent future threats. By combining log and event data with contextual threat intelligence, they’re able to provide a timeline of each attack, helping your security team to determine how the initial breach occurred and how the attack spread. This enables them to make informed decisions on how to improve your organization’s security infrastructure to prevent repeat incidents in the future.
Efficient Incident Response
Security incident response is one of the most commonly-cited areas of skill shortage in the cybersecurity industry—and the lack of knowledge in this space means that it often takes organizations longer that it should to identify and respond to threats, simply because they don’t have the right resource available. In fact, it takes an average of 287 days to identify and contain a data breach—that means, if your systems were breached in January, the average organization wouldn’t be able to contain that breach until October, giving the attacker a lot of time to damage and steal data.
By detecting and analyzing threats automatically, a SIEM solution can help to greatly reduce the time it takes your security team to detect and respond to an incident. The team is told what the incident is and how severe a security risk it poses, enabling them to focus their efforts on the remediation process, rather than getting bogged down sifting through data stores, searching for anomalies. Some SIEM tools also allow admins to configure the automatic remediation of certain threat types.
But that isn’t the only way that SIEM solutions help make your organization’s incident response processes more efficient; they can also reduce the amount of time your SOC team spends barking up the wrong tree. False positives account for 45% of all security alerts, and take just as long to investigate as actual attacks. By analyzing each anomaly and assigning it a risk score, SIEM tools help security teams work out which alerts are genuine threats that need to be investigated, and which are false alarms.
Compliance
In recent years, many organizations have been put under pressure by industry and regulatory bodies to meet—and prove that they are meeting—certain standards designed to ensure the protection of their data, their employees’ data and their customers’ data.
A SIEM solution can also help your organization to prove that it’s meeting industry and regulatory compliance requirements by generating reports—both scheduled and in real-time—of data logs and security events. Instead of having to collect and normalize that data manually for an audit, your security team can simply log into their SIEM tool’s central dashboard and generate the necessary reports in a matter of minutes.
While SIEM solutions have many benefits, there are also a few challenges that come with using one:
The two main groups that would benefit from adopting a SIEM solution are larger, enterprise organizations and MSPs.
As SIEMs make it easier to manage a network’s security status, and respond to incidents faster, they can be a valuable asset to enterprises. It is the size and amount of data to be processed that make SIEMs an effective solution.
MSPs can also stand to benefit from having SIEM as it aggregates and prioritizes data from multiple sources. This is extremely helpful when managing multiple networks. MSPs can also use SIEM solutions to generate reports that detail all network data and intel. These reports can also deliver reporting on their customers’ compliance for auditing purposes when ask by regulatory bodies.
All modern SIEM solutions should enable security teams to detect and investigate threats, as well as automate incident response processes. But there are other features that you should look for in a SIEM solution, depending on your use case. These include:
Many SIEM providers offer both on-premises and cloud deployment options, and it can be difficult to know which one to go with. There are a few areas to consider when making this decision:
Generally, if your business isn’t restricted by compliance and privacy requirements that require you to have certain controls over your data, we recommend that you invest in a cloud SIEM solution. But ultimately, you need to evaluate which of the above points are most important to your organization, and make your decision based on those factors.
The main challenge when it comes to using a SIEM solution is navigating false alerts and reducing alert fatigue—the action of becoming desensitized to alerts because you’re constantly overwhelmed with false positives.
To overcome this, you should look for a SIEM that gives you contextual information on each incident, enables you to configure custom log and alert rules to help reduce false positives, and assigns risk scores to each incident or offers triaging to help you prioritize your responses.
There are a lot of things to think about when implementing a SIEM security solution. Here’s our checklist of actions that will help your SIEM implementation go more smoothly and ensure you set up your solution as effectively as possible:
Further reading on security operations from Expert Insights — buyers' guides, comparison articles, and platform-specific shortlists.
Caitlin Harris is the Deputy Head of Content at Expert Insights. As an experienced content writer and editor, Caitlin helps cybersecurity leaders to cut through the noise in the cybersecurity space with expert analysis and insightful recommendations.
Prior to Expert Insights, Caitlin worked at QA Ltd, where she produced award-winning technical training materials, and she has also produced journalistic content over the course of her career.
Caitlin has 8 years of experience in the cybersecurity and technology space, helping technical teams, CISOs, and security professionals find clarity on complex, mission critical topics like security awareness training, backup and recovery, and endpoint protection.
Caitlin also hosts the Expert Insights Podcast and co-writes the weekly newsletter, Decrypted.
Laura Iannini is a Cybersecurity Analyst at Expert Insights. With deep cybersecurity knowledge and strong research skills, she leads Expert Insights’ product testing team, conducting thorough tests of product features and in-depth industry analysis to ensure that Expert Insights’ product reviews are definitive and insightful.
Laura also carries out wider analysis of vendor landscapes and industry trends to inform Expert Insights’ enterprise cybersecurity buyers’ guides, covering topics such as security awareness training, cloud backup and recovery, email security, and network monitoring. Prior to working at Expert Insights, Laura worked as a Senior Information Security Engineer at Constant Edge, where she tested cybersecurity solutions, carried out product demos, and provided high-quality ongoing technical support.
Laura holds a Bachelor’s degree in Cybersecurity from the University of West Florida.