Risk Assessment Tools
Risk assessment tools for cybersecurity risk analysis, threat modeling, and quantitative risk management.
Browse 110 risk assessment tools
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Data-driven cyber risk assessment platform providing actionable intelligence
AI governance platform for quantifying and managing AI risk exposure
Platform for cyber risk assessments, vulnerability scanning, and penetration testing.
OT cyber risk quantification platform translating exposures into financial metrics
Free online assessment tool to evaluate organizational cybersecurity maturity
AI-powered customer risk assessment platform integrating KYC, KYB, and AML
Framework for measuring cyber resiliency maturity of weapon systems
Human cyber risk assessment platform for identifying vulnerable individuals
Aggregates security data into a unified cyber risk score for risk assessment
Quick IT risk assessment scorecard for registered investment advisors
Automated risk management platform for ISO 27001, SOC 2, TISAX compliance
Automated cyber risk assessment platform using threat emulation and analytics
Risk assessment platform for MSPs to evaluate client IT environments
AI-powered risk register that automates risk identification and management
IT risk management software for identifying, analyzing, and remediating risks
Cybersecurity gap analysis service for compliance and vulnerability assessment
Translates cyber risks into financial terms to quantify organizational exposure
SAP compliance and risk data visualization and reporting platform
Cyber risk management platform for identifying, assessing, and mitigating IT risks
IT risk mgmt platform for identifying & managing tech, cyber & operational risks
Software for conducting behavioral threat assessments using standardized frameworks
Risk Assessment Tools FAQ
Common questions about Risk Assessment tools, selection guides, pricing, and comparisons.
Qualitative risk assessment uses categories (high, medium, low) based on expert judgment. Quantitative risk assessment assigns monetary values to potential losses using models like FAIR (Factor Analysis of Information Risk). Quantitative is more objective and enables business-case comparisons, but requires more data. Many organizations start qualitative and mature into quantitative as they gather loss data.
