What is SIEM?
SIEM (security information and event management) software collects logs from across your environment, correlates them, and flags threats in one place. New to the topic? Start with our guide to what SIEM is.
SIEM (security information and event management) software collects logs from across your environment, correlates them, and flags threats in one place. New to the topic? Start with our guide to what SIEM is.
SIEM tools are the platforms and services that do that work. They range from self-hosted software your team runs, to cloud-native platforms, to fully managed services where a SOC runs it for you.
Modern SIEM tools have moved well past static rules. Most now add user and entity behavior analytics (UEBA) to flag activity that's odd for a specific person or device. Many add automation to speed up response, and AI assistants to summarize incidents and write queries.
Here's how SIEM relates to the tools it often gets confused with:
Tool | What it does best | How it differs from SIEM |
|---|---|---|
SIEM | Collects and correlates logs from everywhere for detection, investigation, and compliance | The broadest view, across any log source |
EDR | Detects and responds to threats on endpoints | Deep on devices, but blind to your firewall, identity provider, or SaaS apps |
XDR | Detects and responds across a vendor's own endpoint, identity, email, and cloud tools | Narrower data scope, faster built-in response |
SOAR | Automates response playbooks | Doesn't detect threats on its own—it acts on alerts from other tools |
Log management | Stores and searches logs | No security-specific correlation or threat detection |
The lines are blurring. Plenty of platforms now sell SIEM, XDR, and SOAR as one bundle. The label matters less than what the tool does on day 90.
Attackers don't stay on one device. They phish a Microsoft 365 account, add a mailbox rule, move to a file share, then disable the tools that would have caught them. Each step shows up in a different log. If nobody's reading them together, nobody sees the pattern.
That's the core reason businesses of all sizes need SIEM tools. Here are the rest:
Visibility across tools. Endpoint, identity, firewall, and cloud logs live in separate consoles. A SIEM puts them in one place.
Earlier detection. Correlating events catches attacks like Remote Desktop Protocol (RDP) brute force or suspicious sign-ins before they reach your endpoints.
Faster investigations. When something goes wrong, you need to answer "what did they touch?" in minutes, not days.
Compliance and insurance. Frameworks like PCI DSS, HIPAA, SOC 2, and GDPR expect log collection, retention, and review. Cyber insurers increasingly ask for the same evidence.
Here's the part most vendors skip: a SIEM only helps if someone's watching it. A platform with brilliant detection logic and nobody tuning it is just an expensive log archive.
We compared 10 SIEM tools on deployment, 24/7 coverage, and where each one fits best. We started with Huntress Managed SIEM, then covered the other platforms most often on shortlists.
Platform | Best for | Deployment | 24/7 managed option | Standout |
|---|---|---|---|---|
Huntress Managed SIEM | Growing organizations and MSPs that want a SOC watching their logs | Cloud, fully managed | Built in | 24/7 SOC, predictable pricing, Microsoft 365 and identity coverage |
Microsoft Sentinel | Microsoft-centric, cloud-first organizations | Cloud-native (Azure) | Not built in | Native Defender integration, built-in UEBA and SOAR |
Splunk Enterprise Security | Large enterprises with dedicated platform teams | Cloud or self-managed, including air-gapped | Not built in | Huge integration ecosystem |
CrowdStrike Falcon Next-Gen SIEM | Existing CrowdStrike Falcon customers | Cloud-native SaaS | Separate (Falcon Complete) | Endpoint, identity, and cloud on one sensor |
Palo Alto Cortex XSIAM | Enterprises consolidating SIEM, XDR, and SOAR | Cloud-delivered | Managed XSIAM offered | Converged platform with heavy ML automation |
Rapid7 Incident Command (formerly InsightIDR) | Mid-sized teams wanting UEBA, SOAR, and MDR | Cloud-native | Available as a bundle | Asset-based pricing with built-in UEBA |
SentinelOne Singularity AI SIEM | Existing SentinelOne EDR customers | Cloud-native | Via SentinelOne managed services | One agent for EDR and SIEM |
Exabeam New-Scale Fusion | Teams focused on insider threats and UEBA | Cloud-native (LogRhythm for self-hosted) | Not built in | Behavioral analytics depth |
Elastic Security | Engineering-led teams that want an open architecture | Serverless, hosted, or self-managed | Not built in | Flexible deployment, compute-based pricing |
IBM QRadar SIEM | Regulated enterprises that need on-premises control | On-premises, or IBM-managed | IBM-managed option | Sigma rule support, no per-GB ingestion penalty |
Best for: Lean IT teams, MSP partners, and growing businesses that want threat detection and compliance logging without building an internal SOC.
Most SIEM tools hand you a platform and wish you luck. Huntress Managed SIEM flips that. The Huntress SOC runs it for you, 24/7, so there's a person looking at the alerts instead of a dashboard waiting for someone to care.
What it does well:
Human-led, AI-centric SOC. Huntress analysts monitor, investigate, and hunt around the clock, and can remediate confirmed threats.
Catches attacks earlier. Managed SIEM helps customers spot threats earlier in the attack chain than EDR alone. In one example, the SOC found an RDP brute force attack less than 15 hours after a customer deployed Huntress.
Wide log coverage. Huntress added 20+ log source integrations across firewall, password management, and identity tools, including Fortinet, Palo Alto Networks, SonicWall, Sophos, 1Password, Duo, and Bitwarden.
Microsoft 365 coverage. Managed SIEM pulls in Microsoft 365, Entra, Defender, and Azure logs. See how Huntress works with Microsoft.
Predictable pricing. Pricing is built around the data you actually need for threat hunting, investigation, and compliance, not around a runaway data lake.
Compliance-ready. Long-term searchable log storage supports audits and insurance requirements
Herd immunity. Because the Huntress SOC watches millions of endpoints and identities, what it catches for one organization helps it shut down the same tradecraft faster for the next.
Managed SIEM can catch zero-day vulnerabilities and alert the team before attackers can exploit them.
One customer called out how they like managing log collection from a single pane alongside other Huntress products.
"We have seen around a 20 to 30% reduction in manual alert triage effort, mainly because Huntress SOC filters and investigates many alerts before they reach our team."
Read the full Huntress Managed SIEM review on PeerSpot →
Best for: Microsoft-centric, cloud-first organizations.
Sentinel is a cloud-native SIEM built into the Azure and Defender portal, with hundreds of built-in data connectors. UEBA and SOAR come with the base product, Security Copilot helps with investigations, and an AI-assisted tool converts detection rules from Splunk or QRadar.
What to validate: Sentinel runs on Azure only, and ingesting data from AWS or GCP adds cost. It's priced per GB, so log volume drives the bill. Monitoring is on you, or on a partner.
Best for: Large enterprises with the staff to customize and maintain it.
Splunk runs as Splunk Cloud or self-managed, including air-gapped environments. It has a huge ecosystem of integrations and apps, and compliance tracking for standards like PCI, HIPAA, and GDPR.
What to validate: Some capabilities, including UEBA, SOAR, and certain AI agents, sit in the higher Premier tier. Expect real operational overhead and specialized expertise.
Best for: Organizations already running CrowdStrike Falcon endpoint protection.
It's a cloud-native module built on the same sensor and console Falcon customers already use. Endpoint, identity, and cloud telemetry share one context, and Charlotte AI supports natural-language investigation.
What to validate: The single-sensor advantage fades if you run a different EDR. It's SaaS-only. Self-hosted needs a separate product, Falcon LogScale.
See full Huntress vs Crowdstrike comparison.
Best for: Enterprises that want SIEM, XDR, SOAR, and attack surface management in one platform.
XSIAM uses machine learning to group low-confidence alerts into higher-fidelity incidents, and automated playbooks cut time spent on routine triage. A managed XSIAM option exists for teams that want help running it.
What to validate: Pricing is sales-led and not published. Integration is strongest inside the Palo Alto ecosystem.
Best for: Mid-maturity teams that want built-in UEBA, SOAR, and optional MDR.
It's cloud-native, collects log, network, and endpoint data, and correlates user and asset activity to flag suspicious behavior. Pricing is based on monitored assets rather than data volume, and managed detection services are available as a bundle.
What to validate: Check whether asset-based pricing stays friendly as you grow, and how far you can customize deep analytics and compliance reports.
Best for: Organizations already standardized on SentinelOne for endpoints.
The pitch is one agent and one console for EDR and SIEM. Purple AI helps analysts investigate, and SentinelOne offers 24/7 managed detection and response separately.
What to validate: Some AI capabilities depend on your tier, and the consolidation benefit shrinks if you run a mixed endpoint estate.
See full Huntress vs SentinelOne comparison.
Best for: Teams where insider threats and identity-based risk come first.
Exabeam's strength is behavioral analytics: dynamic risk scoring against baselines, plus AI agents that triage alerts and summarize cases. Its LogRhythm line covers self-hosted needs, with 1,100+ prebuilt correlation rules.
What to validate: Fusion is cloud-only. Pricing is quote-based. Deep UEBA works best with analysts who can tune it.
Best for: Engineering-led teams that value open architecture and cost transparency.
Elastic deploys serverless, hosted, or fully self-managed, including air-gapped. Pricing follows compute and storage, and AI-assisted import helps translate detection rules from other platforms.
What to validate: It takes engineering time to configure and tune. Workflow automation isn't native, so expect to add a SOAR tool.
Best for: Regulated enterprises that need on-premises data processing.
QRadar deploys as on-premises hardware or virtual appliances, with an IBM-managed option. It supports community Sigma rules and UEBA, and its licensing avoids per-GB ingestion penalties.
What to validate: It's heavier to deploy and maintain than any cloud-native platform here, and IBM sold its QRadar SaaS business in 2024.
Endpoint and identity logs are where most attacks leave their first clues. A SIEM that ingests both can connect a suspicious sign-in to what happened on the device next.
There are two approaches. Platform-native vendors put EDR and SIEM in one agent or console. Open vendors ingest data from whatever tools you already run.
Vendor | Approach | EDR and identity coverage |
|---|---|---|
Huntress | Platform-native | Managed SIEM works alongside Huntress Managed EDR and Managed ITDR, plus log sources like Duo, 1Password, Bitwarden, and Keeper |
CrowdStrike Falcon Next-Gen SIEM | Platform-native | Deep integration with Falcon endpoint, identity, and cloud products |
SentinelOne Singularity AI SIEM | Platform-native | One agent and console for EDR and SIEM, plus identity |
Microsoft Sentinel | Platform-native | Native Defender integration across endpoints, identities, email, and cloud workloads |
Palo Alto Cortex XSIAM | Platform-native | Converged XDR-SIEM-SOAR with endpoint, network, identity, and cloud telemetry |
Rapid7 Incident Command | Mixed | Combines endpoint agents, authentication monitoring, and network data |
Splunk, Elastic, QRadar | Open | Ingests EDR and identity data through connectors and apps |
How to choose: If you already run one EDR, the platform-native SIEM from that vendor is usually the fastest path. If your stack is mixed, ask for the exact connector list for your identity provider, EDR, and firewall in writing. "400+ integrations" doesn't tell you whether yours is one of them.
Most businesses don't live in one place. You've got on-prem servers, a Microsoft 365 tenant, maybe AWS or Azure workloads, and a handful of SaaS apps. Hybrid support means a SIEM can ingest from all of them without forcing you to move your data.
Look for three things:
Deployment flexibility. Cloud, on-prem, or both.
Cross-cloud connectors. Native collection from Azure, AWS, and GCP.
Data residency options. The ability to keep sensitive logs where regulations require.
Vendor | Hybrid and multi-cloud strengths |
|---|---|
Huntress Managed SIEM | Cloud-delivered, ingesting logs from endpoints, firewalls, VPNs, identity systems, and Microsoft 365, Entra, and Azure sources |
Splunk Enterprise Security | Cloud or self-managed, including air-gapped |
Elastic Security | Serverless, hosted, or self-managed, including sovereign and air-gapped |
Stellar Cyber | Hybrid on-prem and cloud, with multi-tenant architecture |
Graylog Security | Cloud, on-prem, or hybrid, with a free open tier |
Securonix | Cloud-native, with a bring-your-own-cloud option on Snowflake or AWS |
Trellix | On-prem, hybrid, cloud, and air-gapped deployments |
LogPoint | Cloud, hybrid, and on-prem |
Microsoft Sentinel | Multicloud and multiplatform connectors, but runs on Azure only. Costs rise when pulling from AWS or GCP |
Here's the question that decides most SIEM projects: who's watching at 2 a.m.?
A self-managed SIEM can detect an attack at 2 a.m. That doesn't mean anyone sees it. If you don't have a staffed SOC, a managed SIEM puts analysts behind the alerts so detection turns into response.
Vendor | 24/7 managed option |
|---|---|
Huntress Managed SIEM | Built in. The Huntress AI-centric SOC monitors, investigates, hunts, and can remediate confirmed threats |
Rapid7 | Managed detection services available as a bundle with Incident Command |
Palo Alto Networks | Managed XSIAM and Unit 42 managed detection and response |
IBM QRadar | IBM-managed option through X-Force Threat Management Services |
SentinelOne | Managed detection and response through its services team |
CrowdStrike | Falcon Complete managed service, sold separately |
ConnectWise SIEM | Co-managed options, reported to include 150+ certified analysts |
What to ask any managed provider:
Is 24/7 coverage included at the quoted price, or an add-on?
Do analysts investigate and respond, or just forward alerts to you?
Who writes and tunes the detection rules?
What's the false-positive rate, and how is it measured?
Can you see what the analysts did, in plain language?
For context, Huntress reports its SOC runs with a false-positive rate under one percent. Ask every vendor for their number and how they calculate it.
Alert fatigue is how good SIEM deployments fail. When every alert looks urgent, nothing gets handled.
"Analyst-assisted triage" means different things depending on the vendor. Separate the two:
AI-assisted triage. Agents group, prioritize, and summarize alerts. A human may or may not review the result.
Human analyst triage. A trained person reviews each meaningful alert, decides if it's real, and acts or escalates.
The best setups use both. AI clears the noise fast, and a person makes the call.
If your business runs on Microsoft 365, a SIEM that's blind to Entra sign-ins, mailbox rules, and Defender alerts is missing the most common attack path. Identity is where attackers get in. Endpoints are where they dig in. You need both.
Option | Why it fits Microsoft environments |
|---|---|
Huntress Managed SIEM | Brings together Microsoft 365, Entra, Defender, Azure, and other log sources, with a 24/7 SOC watching them. Pairs with Managed ITDR and Managed ISPM for identity monitoring and Microsoft 365 hardening |
Microsoft Sentinel | Native, no connector overhead if you already run Microsoft 365, Azure, or Defender. Best fit for organizations with security staff to run it |
Splunk and Elastic | Both ingest Microsoft data, but expect more setup and tuning on your side |
CrowdStrike and SentinelOne | Strongest on endpoint telemetry. Stronger fit when their EDR is already your standard |
Skip the feature checklist. Most platforms check the same boxes. Work through these questions instead, in this order.
Where does your data live? On-prem, cloud, or both decide your shortlist fast. A hard on-prem or air-gapped requirement removes every cloud-only platform.
Who will run it? Be honest about headcount. A SIEM platform that needs a dedicated detection engineer won't work for a three-person IT team.
How does pricing scale? Per-GB pricing punishes growing log volume. Per-endpoint pricing tracks headcount. Per-asset pricing tracks scope. Model each against your next three years.
What's included at the quoted price? Check whether AI features, UEBA, SOAR, and 24/7 monitoring sit behind a higher tier or an add-on.
Does it connect to your stack? Get the connector list for your EDR, identity provider, firewall, and cloud accounts in writing.
How does it handle noise? Ask for false-positive rates and a reference customer your size.
Can it produce audit evidence? Request a sample compliance report before you sign.
Who answers at 2 a.m.? Decide who responds after hours, and what they're allowed to do.
The right SIEM is the one your team can actually run. Everything else is a demo.
Security solutions should help you stop hesitating and start building. A SIEM does that when someone's actually running it: tuning the noise, reading the alerts, and picking up the phone when something's real.
Whichever platform you pick, make that part non-negotiable. Pick tools that match the team you have, not the team you wish you had.
If you want a SOC watching your logs without building one, see how Huntress Managed SIEM works.
Every SIEM ships with generic detection rules built for an average environment, not yours. Tuning is how you teach it what normal looks like.
Most platforms handle it in four ways:
Baselining. UEBA models learn typical behavior for each user and device, then flag deviations.
Suppression and allowlists. You exclude known-good activity, like a vulnerability scanner or a nightly backup job.
Risk-based scoring. Instead of firing on a single event, the platform stacks several lower-confidence signals into one higher-confidence incident.
Feedback loops. Analyst decisions on past alerts refine future ones.
Tuning is ongoing work, not a setup step. A SIEM that's still noisy six months in usually has a tuning gap, not a detection problem. With a self-managed SIEM, that work lands on your team. With a managed SIEM like Huntress, the SOC handles the tuning and triage, so you see confirmed incidents instead of raw alerts.
When you evaluate vendors, ask whether models train on your telemetry, request false-positive rates by rule type, and talk to a reference customer about how long it took before alerts got quiet.
Nearly all of them, though the depth varies. Huntress Managed SIEM uses detections built by the Huntress SOC around real attacker tradecraft, like RDP brute force and suspicious identity activity, so you're not writing rules from scratch.
The bigger question is who maintains those rules. A big library still needs someone to decide which alerts matter in your environment.
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