

LogRhythm SIEM and Huntress Managed SIEM compete in providing security information and event management solutions. Huntress Managed SIEM is perceived as superior due to its advanced features and proactive threat management.
Features: LogRhythm SIEM offers comprehensive threat detection, response capabilities, and streamlined investigation processes. Huntress Managed SIEM provides robust threat hunting, incident response, and excels in proactive threat management, distinguishing itself with proactive threat management.
Ease of Deployment and Customer Service: LogRhythm SIEM requires more deployment effort and relies on in-house expertise. Huntress Managed SIEM offers straightforward deployment with robust customer service, minimizing the need for internal resources. Huntress has an advantage with seamless integration and supportive services.
Pricing and ROI: LogRhythm SIEM presents a significant upfront investment but delivers solid ROI through efficient threat handling. Huntress Managed SIEM, with a more approachable pricing model and manageable setup cost, provides strong ROI due to streamlined operations and support services, offering greater financial flexibility and value efficiency.
I can expect an estimated five to twenty times return on investment with this solution.
I have seen a return on investment from using Huntress Managed SIEM because it saves a lot of time.
I have seen return on investment in terms of spotting cyber threats; breaches could lead to huge amounts of money going out of the organization, and Huntress Managed SIEM has prevented this.
You are communicating to tier one and tier two people who are then communicating on the back end, so you are not getting updates as frequently.
Customer support through our channel partners is excellent.
They will guide us through all aspects of the deployment.
The technical support is good; we have a separate portal for partners, and since we are paying for the service, they provide a response timeframe based on severity—critical issues are addressed within four hours, medium issues within one day, and non-urgent issues may take a couple of days.
LogRhythm SIEM is quite complex, but that complexity allows us to specifically tailor a solution to the customer while some others are not as flexible.
Customer support is very helpful and effectively solves my problems.
It struggles with scalability when dealing with high logs, multi-site, multi-tenant setups, and large volumes of endpoints.
Huntress Managed SIEM is pretty scalable when there are more log sources to be integrated, or when there are high volumes of transactions which lead to higher log ingestion.
In my experience, Huntress Managed SIEM's scalability is very good and stable.
LogRhythm SIEM is highly scalable as it has modular components allowing me to expand storage, indexing, or other resources as needed.
LogRhythm SIEM is scalable; it can handle about 200 or 500 devices without much difference.
The scalability of LogRhythm SIEM is good enough, warranting an eight out of ten rating.
Huntress Managed SIEM is very stable.
The platform needs regular updates to fix problems encountered with each quarterly patch and version release.
LogRhythm SIEM still needs improvement regarding stability, particularly in environments with heavy data consumption.
I would like Huntress Managed SIEM to integrate with EDRs like SentinelOne to combine that level of intelligence and information into their stack.
I believe Huntress Managed SIEM could be improved by increasing integrations with non-Microsoft solutions as this would broaden its appeal.
In my opinion, there is room for improvement in Huntress Managed SIEM, particularly in integration with third-party solutions.
I have noticed some problems with parsing errors, event mismatches, and data mismatching, so ensuring accurate parsing and continuous improvement according to device updates are my basic expectations as a detection engineer.
There is currently no way to determine how much data is being consumed in terms of gigabytes, terabytes, or petabytes from particular devices or environments.
If LogRhythm SIEM could make a lightweight version of their solution, that would be quite competitive because some of my customers have a very large need but refuse to go with LogRhythm SIEM due to its complexity and high resource intensity.
I believe most competitors charge by the data slightly differently compared to how this solution does, as it is per data source rather than data size in gigabytes.
I did not have to spend more than what I initially budgeted for.
I think the pricing for SIEM is good.
The license cost is around $10 per MPS.
I find LogRhythm SIEM affordable, as it is a bit less costly than QRadar.
Huntress Managed SIEM combines machine detection with human investigation, which adds context and helps confirm if something is actually a threat rather than just noise.
Regarding the feature that requires no alert tuning, we are using the advanced filtering so we only see actionable events and not lots of noise, which filters out any false positives or areas of no concern.
Huntress Managed SIEM has helped in both angles, improving efficiency in SOC operations where the mean time to detect is drastically reduced.
The seamless integration for case management, along with a user-friendly dashboard user interface, makes tasks like threat hunting more efficient.
We have enough budget for cloud deployment, but we choose to keep it on-prem to ensure data privacy; cyberattacks are a concern, but data privacy is the foremost priority due to sensitive government information.
This helps SOC analysts significantly as they can monitor all log sources through a dashboard, quickly identifying which sources haven't reported within their specified timeframes.
| Product | Mindshare (%) |
|---|---|
| LogRhythm SIEM | 2.5% |
| Huntress Managed SIEM | 1.1% |
| Other | 96.4% |

| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 2 |
| Large Enterprise | 2 |
| Company Size | Count |
|---|---|
| Small Business | 38 |
| Midsize Enterprise | 39 |
| Large Enterprise | 83 |
Huntress Managed SIEM delivers advanced threat detection and response capabilities tailored for Security Information and Event Management. It addresses cybersecurity challenges with automated monitoring and actionable insights.
Huntress Managed SIEM stands out by offering comprehensive security event monitoring designed for modern cybersecurity landscapes. It identifies potential threats and vulnerabilities, ensuring actionable data for quicker response. Its integration capabilities with existing security infrastructure make it a reliable choice for enhancing cyber defenses and incident resolution.
What are the key features of Huntress Managed SIEM?Huntress Managed SIEM is widely used across industries such as finance, healthcare, and retail, where it is critical to protect sensitive information. Its adaptability to different enterprise needs makes it an ideal choice for strengthening security frameworks in diverse sectors.
LogRhythm SIEM offers advanced threat intelligence, scalable deployment, and streamlined log management. It enhances security posture with AI-driven threat detection and comprehensive monitoring.
LogRhythm SIEM stands out for its AI-driven threat correlation, ease of log aggregation, and robust reporting. Offering real-time visibility and analytics through consistent navigation and dashboards, it integrates with security components for enhanced monitoring and response. Advanced threat intelligence and customizable alerts streamline processes and bolster security. While it faces challenges with log parsing, reporting, and dashboard intuitiveness, plans to enhance cloud integration and transition to Linux are noted.
What are the standout features?In industries like banking and finance, organizations utilize LogRhythm SIEM for centralized log management, security monitoring, and compliance. It helps detect insider threats, analyze server logs, correlate events, and monitor user behaviors. Appreciated for log ingestion and anomaly identification, it ensures robust cybersecurity and incident response by integrating data from multiple sources.
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