This page breaks down LogRhythm NetworkXDR ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand LogRhythm NetworkXDR’s overall reputation. This data-driven overview will show you exactly how LogRhythm NetworkXDR is rated - including how it compares to competitors.

LogRhythm NetworkXDR's Overall Rating Summary

  • Average Rating:4.6/5
  • Total Reviews:6 reviews
  • Sources:G2
  • Last updated:September 1, 2025

LogRhythm NetworkXDR Ratings by Source

PlatformRatingReviewsLast Update
G2 logoG2
4.6/5
6+ reviews07.07.25

What is LogRhythm NetworkXDR?

The Exabeam Security Operations Platform is an AI-driven solution that enhances security operations workflows with advanced threat detection, investigation, and response (TDIR) capabilities. It offers features such as powerful behavioral analytics, automated TDIR workflows, and flexible deployment options, including cloud-native architecture and on-premises SIEM. The platform supports extensive product integrations, log management, and compliance with certifications like ISO 27001 and SOC 2 Type II.

🤔 LogRhythm NetworkXDR vs Competitors: How Do Ratings Compare?

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Frequently Asked Questions

How trustworthy is LogRhythm NetworkXDR?

According to G2 review site LogRhythm NetworkXDR holds rating of 4.6/5, indicating a strong level of trust and satisfaction among users as of September 2025.

How many stars is LogRhythm NetworkXDR rated?

LogRhythm NetworkXDR has an average star rating of 4.6 out of 5 stars based on average of 6 reviews as of September 2025.

Where does the rating data come from?

The ratings are pulled from LogRhythm NetworkXDR public reviews pages on platforms: G2. We update these ratings monthly to ensure they reflect the most current customer feedback.

How overall average rating for LogRhythm NetworkXDR is calculated?

The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.