Green Quadrant: Risk Intelligence Software (2026)

Bill Pennington

Bill Pennington

30 Sep, 2026

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Executive Summary

This report provides a detailed, fact-based benchmark of eight of the most prominent risk intelligence software providers in the market. Based on the proprietary Verdantix Green Quadrant methodology, our analysis encompassed live briefings, customer interviews and vendor responses to a detailed 120-point questionnaire, covering 12 capability and 11 momentum categories. Risk intelligence software is a major focus for risk leaders, given ongoing geopolitical threats and the complexity of the regulatory landscape. Firms are also exposed to reputational, cybersecurity and climate change risks arising from multiple directions. Vendors have developed several types of risk intelligence software – each of which serves a distinct purpose – and this report explores how the various types add value to users. At its core, all risk intelligence software collects raw data, transforming this into curated data and valuable insights. Vendors deploy advanced technology, along with human expertise, to generate outputs that reach users in real time through intuitive visualization tools. Among the providers featured in this study, Corlytics, Seerist and offer the most comprehensive risk intelligence software capabilities, emerging as Leaders in the Green Quadrant.
Summary for decision-makers
How to use the Green Quadrant for risk intelligence software
Risk intelligence software addresses key gaps in risk management
One-size-fits-all does not work: multiple types of risk intelligence software serve different objectives
Green Quadrant for risk intelligence software
Green Quadrant methodology
Evaluated firms and inclusion criteria
Evaluation criteria for risk intelligence software vendors
Bitsight overview
Bitsight leverages AI to provide a comprehensive, real-time view of an organization’s attack surface
Corlytics overview
Corlytics generates regulatory risk intelligence for global financial organizations via a well-crafted taxonomy and high-quality protocols
CUBE overview
CUBE deploys AI to track the regulatory landscape across multiple jurisdictions
LRQA overview
LRQA provides risk intelligence across several risk domains through well-established data quality protocols
SecurityScorecard overview
SecurityScorecard leverages AI to support cybersecurity detection and response across supply chains
Seerist overview
Seerist’s granular, high-quality data are complemented by fast and reliable insights for life safety organizations
Signal AI overview
Signal AI’s highly customizable technology allows firms to map tracking capabilities to internal risk registers and frameworks
Sphera overview
Sphera provides reliable risk intelligence across multiple domains, via robust AI integration models with advanced data collection protocols
Figure 1. Perspectives on future risks
Figure 2. Challenges to risk goals
Figure 3. Types of risk intelligence software
Figure 4. Risk intelligence software use
Figure 5. Risk intelligence software vendor landscape
Figure 6. Vendors and solutions assessed
Figure 7. Capabilities criteria for risk intelligence software
Figure 8. Momentum criteria for risk intelligence software
Figure 9. Vendor category scores: capabilities
Figure 10. Vendor category scores: momentum
Figure 11. Green Quadrant for risk intelligence software 2026

About the Authors

Luis Niño

Luis Niño

Senior Manager

Luis leads the risk management research team at Verdantix, focusing on how regulatory requirements intersect with GRC strategies and delivering insights that help clients unde...

View Profile
Bill Pennington

Bill Pennington

VP Research

Bill is VP Research at Verdantix, where he leads analysis on the evolving and interconnected landscapes of EHS, quality, AI and enterprise risk management. His research helps ...

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