Rapid7 Surface Command vs XM Cyber Exposure Management

Rapid7 Surface Command gives security teams a unified view of internal and external assets across an organization’s digital estate. It discovers assets and builds an inventory, then adds security context and relationships to help assess exposures and potential blast radius. Continuous monitoring and discovery aim to uncover exposed assets across internal and external inventories. Threat intelligence and machine learning correlate security data to prioritize exposures likely to be exploited. The Remediation Hub recommends and tracks prioritized fixes with ownership, SLAs, and workflow integrations. Rapid7 lists over 150 tool integrations, connectors for major tools, and custom connectors for enterprise systems; sources that cannot be reached over the internet require an Orchestrator. The product supports cloud asset inventory, multi-cloud environments, IaC scanning, identity risk analysis, and CI/CD integration. Listed platforms are API, Linux, macOS, web, and Windows, with hybrid deployment and cloud deployment also listed. Pricing is paid, from $1.62/mo, based on the average number of monitored assets. There is no free plan, but a free trial is offered.

XM Cyber Exposure Management is a subscription-based SaaS platform for finding and addressing validated exposures that create attack paths to critical assets. It continuously discovers CVEs, misconfigurations, and identity and access exposures across external, on-premises, cloud, and multi-cloud environments, using agent-based and agentless discovery. Its prioritization considers threat intelligence, exploitation likelihood in the customer’s environment, asset criticality, and business impact. Attack path analysis highlights choke points where remediation can remove multiple paths. The platform provides urgency and impact context, remediation guidance, alternatives, and validation. Cloud capabilities include agentless posture monitoring, vulnerability assessment for cloud hosts and containers, and visibility into permissions and their use. It can also discover shadow AI and map exposures affecting AI services, development resources, MCP servers, and agents. Integrations include ticketing, SIEM, and SOAR tools, with named connections such as AWS, CrowdStrike, Google SecOps, Microsoft Defender, ServiceNow, and QRadar. Pricing is on request. The company describes deployment as SaaS on Google Cloud Platform infrastructure by default for new environments.