Armis Centrix™ for VIPR Pro is a commercial exposure management tool by Armis. Root Evidence is a commercial exposure management tool by Root Evidence. Compare features, ratings, integrations, and community reviews side by side to find the best exposure management fit for your security stack.
CST VerdictBased on our analysis of NIST CSF 2.0 coverage, core features, company size fit, deployment model, here is our conclusion:
Mid-market and enterprise security teams drowning in vulnerability alerts from disparate scanners will see the fastest ROI from Armis Centrix™ for VIPR Pro because it actually collapses finding duplication and groups fixes by root cause instead of just ranking risk scores. The AI-driven consolidation cuts alert volume hard while the end-to-end remediation workflows with ownership assignment force accountability downstream, a gap most exposure management tools leave unfilled. Skip this if your team wants a lightweight cloud-only scanner or needs forensic-grade incident analysis; Centrix™ is built for organizations that have detection figured out but remediation workflows that leak.
AI-powered vuln mgmt platform for prioritization & remediation workflows
Evidence-based vuln prioritization platform focused on real-world risk.
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Common questions about comparing Armis Centrix™ for VIPR Pro vs Root Evidence for your exposure management needs.
Armis Centrix™ for VIPR Pro: AI-powered vuln mgmt platform for prioritization & remediation workflows. built by Armis. headquartered in United States. Core capabilities include Consolidation of security findings from multiple detection tools, AI-powered risk prioritization and assessment, Grouping of alerts by common fix to reduce volume..
Root Evidence: Evidence-based vuln prioritization platform focused on real-world risk. built by Root Evidence. Core capabilities include Evidence-based vulnerability prioritization, Focus on vulnerabilities with known real-world damage potential, Enterprise early access program..
Both serve the Exposure Management market but differ in approach, feature depth, and target audience.
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