Risk Quantifier (RQ)
ThreatConnect Risk Quantifier (RQ) allows enterprises to effectively quantify cyber risk in financial terms. RQ is the industry’s only platform for automated, data driven, and machine-learning powered cyber risk quantification.
Combining large data sets of real-world loss data with proprietary machine learning models, ThreatConnect RQ automates production of actionable risk data. With ThreatConnect RQ, cyber defense leaders prioritize investments based on true financial risk and communicate security strategies effectively with their executive teams and boards of directors.
ThreatConnect has been named a Leader in The Forrester Wave™: Cyber Risk Quantification (CRQ) Q3 2023 report. According to the Forrester report, “ThreatConnect sets the standard for a threat-driven approach to CRQ.”

Resources on Evaluating Cyber Risk Quantifier
Explore Key Platform Features
Automate FAIR
Take the next step forward with Factor Analysis of Information Risk (FAIR) through automation and integration capabilities that help you calculate loss and likelihood at scale. RQ integrates with various tools, including, GRC, vulnerability scanners and CMDBs, allowing you to scale your cyber-risk quantification efforts.

Recommendations Based on Industry Standards
Use RQ to take advantage of multiple frameworks that security teams use to measure their efforts against the industry standard. RQ natively supports security frameworks like NIST CSF, ISO 27001, CIS Top 20, and others.

Perform ‘What If’ Analysis
RQ’s sandbox environment lets you quickly model and show the impact of budget changes or new business initiatives on your security controls and risk. This gives you the critical information you need before you make a decision.
