Both Rapid7 InsightVM and SentinelOne Singularity XDR are strong contenders in the vulnerability management and threat detection space. Rapid7 InsightVM offers transparent pricing and a focus on IT-integrated remediation, while SentinelOne Singularity XDR leverages AI and machine learning for advanced threat detection and automated response. The choice depends on specific organizational needs and priorities.
| Attribute | Rapid7 InsightVM | SentinelOne Singularity XDR |
|---|---|---|
| Vulnerability Detection Accuracy | Uses a unified vulnerability database and both agent and agentless scanning options. Leverages expert-curated vulnerability research and content. | Employs AI and machine learning with behavioral and static AI models to detect a wide range of threats, including malware, ransomware, and zero-day exploits. |
| Threat Intelligence Integration | Integrates with threat intelligence feeds, including Rapid7's own research from Project Lorelei and AttackerKB. Integrates with Project Sonar. | Integrates threat intelligence from third-party feeds, including Mandiant, and proprietary sources. Feeds are integrated with the Singularity Data Platform to provide high-fidelity detections. |
| Automated Remediation Capabilities | Offers IT-integrated remediation projects. Integrates with patching solutions. Automation workflows can streamline vulnerability identification, ticketing, patching, and exception management. | Provides automated remediation and rollback capabilities, enabling immediate action to reverse unauthorized changes resulting from malicious activity. Can isolate threats and remediate issues without human intervention and provides customized responses. |
| Endpoint Detection and Response (EDR) | Integrates with Rapid7 InsightIDR, which unifies SIEM, UBA, and EDR capabilities. InsightIDR can automatically place endpoints under greater detection scrutiny based on InsightVM vulnerability scans. | An advanced EDR solution that combines antivirus and anti-malware to deal with modern threats. Offers real-time threat detection and analysis with automated response to security incidents. |
| Cross-Platform Support | Assesses assets across cloud, virtual, and container environments. Integrates directly with AWS, other cloud providers, and container repositories. | Supports Windows, macOS, Linux, and virtual and cloud environments. Integrates with cloud platforms like AWS and Google Cloud. |
| Scalability for Enterprise Environments | Designed to be scalable for organizations of varying sizes. Volume discounts are available for larger environments. | Designed for enterprise-wide security, providing visibility, detection, and autonomous response at machine speed and scale. Its architecture is multi-tenant, offering customizable sites and groupings for easy enterprise global management. |
| Integration with SIEM/SOAR Platforms | Integrates with SIEM/SOAR solutions like LogRhythm, CrowdStrike Falcon, Exabeam, and D3 Smart SOAR. | Integrates with SIEM/SOAR solutions like IBM Security QRadar and Swimlane through the Singularity Marketplace. |
| User Interface and Reporting | Offers live, customizable dashboards with real-time visibility. | Designed with the analyst experience in mind, offering richer data, smarter workflows, and powerful tools. |
| Incident Response Automation | Can automate incident response workflows based on predefined rules and playbooks through integrations with SOAR platforms. | Automates incident response workflows based on predefined rules using Storyline Active Response (STAR). |
| Machine Learning-Driven Threat Detection | Leverages machine learning to prioritize vulnerabilities based on risk. AI-driven CVSS scoring and threat-aware risk prioritization. | Incorporates AI and machine learning to track device behavior for better detection of cyber risks and malware. The machine learning component adapts to new threats and reduces false positives over time. |
| Cloud Security Posture Management (CSPM) | Can detect misconfigurations in cloud environments like AWS. | Extends security and visibility across VMs, servers, containers, and Kubernetes clusters, protecting assets in public, private, and on-premise clouds. |
| Total Cost of Ownership (TCO) | Pricing is structured based on the number of assets being monitored, with volume-based discounts available. | Reduces business disruptions, improves staff productivity, enhances risk management, and increases organizational efficiency, all of which contribute to a lower TCO. |
| Price | Starts at $1.93 per asset per month when managing 500 assets, amounting to approximately $23.18 per asset annually. | Not available |
| Ratings | Overall: Not available, Performance: Not available | Not available |
| Pros | Unified vulnerability database, Agent and agentless scanning options, Integration with threat intelligence feeds, IT-integrated remediation projects, Integration with patching solutions, Scalable for organizations of varying sizes, Live, customizable dashboards, Automated incident response workflows, Machine learning-driven threat detection, Detects misconfigurations in cloud environments | AI and machine learning-driven threat detection, Automated remediation capabilities, Cross-platform support, Integration with SIEM/SOAR platforms, Scalability for enterprise environments, Real-time threat detection and analysis, Cloud Security Posture Management (CSPM), Lower Total Cost of Ownership (TCO) |
| Cons | Some users have reported delays in detecting vulnerabilities, Some users report limited scalability for very large enterprises, Some users have criticized the reporting capabilities, Some users find InsightVM relatively expensive compared to similar tools, Built-in automation workflows are no longer offered to new InsightVM customers | Reporting dashboards lack customization options |