Risk Assessment Tools
Risk assessment tools for cybersecurity risk analysis, threat modeling, and quantitative risk management.
Browse 109 risk assessment tools
FEATURED
USE CASES
AI platform automating continuous cybersecurity control assessments & risk quantification.
AI-driven breach analytics platform for financial loss intelligence & benchmarking.
AI-driven platform that quantifies cyber risk in financial ($VaR) terms.
Platform for conducting NIST Framework assessments and risk prioritization
Integrated risk mgmt platform for healthcare cybersecurity executives
Free web questionnaire assessing org Zero Trust readiness vs. CMMC/NIST standards.
Centralized OT/ICS risk assessment platform for critical infrastructure.
Industrial cybersecurity risk mgmt platform for assessments & remediation.
Configurable OT/ICS risk assessment platform for critical infrastructure.
Asset-based IT risk assessment module with quantitative analytics and presets.
MSP-focused SaaS security assessment tool to identify risks in SaaS apps.
Gap assessment service evaluating org cybersecurity maturity across 6 dimensions.
AI-automated automotive TARA tool for ISO 21434 & UNR 155 compliance.
IT security baseline assessment service tailored for SMEs.
FAIR-based platform for cyber risk qualification, quantification & mgmt.
Converts cyber risk into financial exposure metrics for board-level reporting.
Self-service IoT security audit & risk scoring platform for manufacturers.
Real-time cyber risk visualization and monitoring dashboard for enterprises.
Self-assessment tool to evaluate NIS2 compliance readiness and security gaps.
Unified risk mgmt platform covering InfoSec, GDPR, ISO 27001 & NHS compliance.
Cybersecurity rating system scoring org attack surface and risk posture 0–100.
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.
