Community Insights for Microsoft Sentinel
Synthesised from 16 verified reviews.
Overview
Synthesised from 16 reviews | Last Published May 27, 2026
Microsoft Sentinel is primarily adopted as a comprehensive Security Information and Event Management (SIEM) and Security Orchestration, Automation, and Response (SOAR) solution, providing extensive visibility into security operations. In TrustRadius reviews, organizations leverage its AI-powered threat detection and automated response mechanisms, which 69% of reviewers highlight for increasing accuracy and ensuring timely actions against security incidents. Its seamless integration within the broader Microsoft ecosystem, including Microsoft Defender and Azure, is a frequently cited strength, offering a unified approach to security.
Reviewers also note Sentinel's contribution to operational efficiency through automation and its ability to support business growth by scaling services. However, a recurring drawback is the complexity of its licensing model and the high cost associated with log retention, which 7 out of 16 reviewers specifically mention. Other concerns include challenges with non-Microsoft integrations, a steep learning curve, and initial issues with alert volume and false positives, leading to mixed sentiment regarding its overall return on investment.
Pros
- AI-powered threat detection and automated response capabilities
- Seamless integration with the broader Microsoft ecosystem (e.g., Defender, Azure)
- Unified view of security data and strong correlation abilities for investigations
- Streamlined investigation process, enhancing speed and efficiency
- Comprehensive log management and data ingestion from diverse sources
Cons
- Complex licensing model and high consumption-based log retention costs
- Limitations or challenges with robust integration in non-Microsoft environments
- Steep learning curve, particularly for KQL, and inconsistent documentation
- User interface and navigation described as cluttered or difficult to traverse
- Initial high volume of alerts and false positives, with a desire for native alerting