ThreatConnect Risk Quantifier (RQ) is a SaaS platform that automates the analysis and quantification of cyber risks in financial terms. It enables organizations to prioritize risk mitigation, communicate risks to stakeholders, and make informed decisions about cybersecurity investments by translating technical risk into business impact. RQ leverages AI, machine learning, and industry-standard models like FAIR to deliver defensible, data-driven results quickly, without requiring deep cyber risk expertise.

Key Features

Financial Cyber Risk Quantification Translates cyber risk into financial impact using industry models.

• Uses FAIR and other risk models for quantification.
• Outputs risk in hard currency for business relevance.

Automated Risk Analysis Accelerates risk modeling and reporting.

• Automates data collection and analysis, reducing manual effort.
• Generates current, actionable reports in hours.

Risk Mitigation Prioritization Focuses resources on the highest-impact risks.

• Prioritizes vulnerabilities and controls based on financial risk reduction.
• Provides tactical and strategic recommendations.

Third-Party & Supply Chain Risk Assessment Quantifies and manages external risks.

• Evaluates financial exposure from vendors and supply chain partners.
• Integrates with tools like SecurityScorecard and ServiceNow.

Compliance and Regulatory Support Aligns risk management with regulations.

• Supports SEC materiality assessments and compliance frameworks.
• Provides audit-ready documentation and reporting.

Scenario Planning and “What-If” Analysis Models the impact of security changes.

• Simulates different risk scenarios and control investments.
• Uses Monte Carlo simulations for probabilistic analysis.

Integration and Data Ingestion Works with existing security infrastructure.

• Integrates with GRC, vulnerability management, and threat intelligence tools.
• Ingests technical and business data for comprehensive analysis.

Benefits

Improved Decision-Making Enables data-driven cybersecurity investments.

• Quantifies ROI for security initiatives.
• Supports executive communication with clear, financial metrics.

Faster and Defensible Risk Analysis Reduces analysis time and increases confidence in results.

• Automated, AI/ML-driven models deliver rapid, defensible outputs.
• Uses real-world loss data and industry benchmarks.

Enhanced Risk Communication Bridges the gap between technical and business stakeholders.

• Presents risk in business terms for leadership and board discussions.
• Supports regulatory and audit requirements with transparent reporting.

Resource Optimization Focuses efforts where they matter most.

• Prioritizes remediation based on financial impact.
• Reduces patching and assessment backlogs