Features, pricing, ratings, and pros & cons — compared head-to-head.
Prevalent Security Data Fabric is a commercial cyber asset attack surface management tool by prevalent security. Splunk Asset and Risk Intelligence is a commercial cyber asset attack surface management tool by Splunk Inc.. Compare features, ratings, integrations, and community reviews side by side to find the best cyber asset attack surface management fit for your security stack.
Based on our analysis of NIST CSF 2.0 coverage, core features, company size fit, deployment model, here is our conclusion:
Prevalent Security Data Fabric
Enterprise security teams drowning in disconnected logs and alerts across cloud, SaaS, and on-premise systems should start here; Prevalent Security Data Fabric ingests and normalizes data at scale where most SIEM deployments give up. The platform covers ID.AM and DE.CM under NIST CSF 2.0 through automated entity resolution and continuous monitoring across devices, identity, and applications, which means you actually know what you're defending and can spot anomalies instead of chasing noise. This tool trades breadth for depth on investigation and response; if your team needs investigation workflows or playbook automation built in, you'll still need to bolt on a SOAR.
Splunk Asset and Risk Intelligence
Mid-market and enterprise security teams buried under unmanaged assets and shadow infrastructure will get real value from Splunk Asset and Risk Intelligence because it actually finds what you don't know you have across networks, endpoints, cloud, and OT environments, then correlates that data against vulnerabilities in real time. The bi-directional ServiceNow CMDB integration means your inventory stays current without manual toil, and the compliance dashboards deliver measurable progress on NIST ID.AM and ID.RA controls that most teams struggle to demonstrate. Skip this if you need a point solution; it's designed to feed into Splunk Enterprise Security as part of a larger investigation workflow, not stand alone.
AI-powered data fabric for ingesting, normalizing & unifying security data
Continuous asset discovery and risk intelligence platform for compliance
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Common questions about comparing Prevalent Security Data Fabric vs Splunk Asset and Risk Intelligence for your cyber asset attack surface management needs.
Prevalent Security Data Fabric: AI-powered data fabric for ingesting, normalizing & unifying security data. built by prevalent security. Core capabilities include Automated data ingestion from disparate sources, Data normalization and standardization, Entity resolution using AI and ML..
Splunk Asset and Risk Intelligence: Continuous asset discovery and risk intelligence platform for compliance. built by Splunk Inc.. Core capabilities include Continuous asset and identity discovery across network, endpoint, cloud, and OT/IoT, Unified asset inventory with data correlation from multiple sources, Asset enrichment with vulnerability and software scanning data..
Both serve the Cyber Asset Attack Surface Management market but differ in approach, feature depth, and target audience.
Prevalent Security Data Fabric differentiates with Automated data ingestion from disparate sources, Data normalization and standardization, Entity resolution using AI and ML. Splunk Asset and Risk Intelligence differentiates with Continuous asset and identity discovery across network, endpoint, cloud, and OT/IoT, Unified asset inventory with data correlation from multiple sources, Asset enrichment with vulnerability and software scanning data.
Prevalent Security Data Fabric is developed by prevalent security. Splunk Asset and Risk Intelligence is developed by Splunk Inc.. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.
Prevalent Security Data Fabric and Splunk Asset and Risk Intelligence serve similar Cyber Asset Attack Surface Management use cases: both are Cyber Asset Attack Surface Management tools. Review the feature comparison above to determine which fits your requirements.
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