Do you have difficulty prioritising your cyber roadmap? Are your leaders asking for ROI or risk buy down? Are you missing a framework for cyber risk-based decision making?
Better justify cyber risk investment, build your cyber roadmap, and report risk buy-down using our AI-enhanced Open FAIR risk quantification module.
- Scenario development
- AI-enhanced threat, risk and control assessment (TRA)
- Open FAIR risk quantification engine
- What-If Analysis
- Cyber Roadmap
Talk the language of the board
100% better business leader engagement.
Optimise return on investment
Present ROI trade-offs for investment.
Confidently understand and communicate your cyber risk in dollar value terms.
CyberQUANT® brings together all the best practice methodologies for cyber risk quantification, including scenario planning, Open FAIR, control analytics, and materiality modelling, in a comprehensive toolkit for cyber security business decision making.
Scenario development
- Define cyber risk scenarios based on actor types and their motivations, MITRE ATT&CK tactics and techniques, key data types, as well as their related critical IT Services.
- Maintain a history of projected and actual risk by scenario and assessment period as well the remediation options considered.
AI-enhanced Threat, Risk and Control Assessment (TRA)
- Discover industry threat and loss using advanced Cohere GenAI RAG agents that read the latest breach reports (losses) and published cyber industry research (threats).
- Interpret risk assessment and control assurance data, as well as business leader consensus opinions, using advanced Oracle private GenAI agents that recommend internal loss factors
Open FAIR risk quantification engine
- Use the standard FAIR algorithm, our algorithm customised to cyber risk, or you can define you own stochastic calculations. No more compromising on vendor quantification approaches.
- Quantify inherent, current, and projected risk using up to 100,000 simulations of the full range of FAIR distribution types, without complicated business explanations about variance with each run.
What-If Analysis
- Identify the relative importance of each control change in risk remediation (control analytics) using advanced Cohere GenAI RAG agents that read a library of risk and control knowledge.
- Determine the quantified risk impact of individual or baskets of control improvements and identify those with the greatest risk buy-down (or return on investment).
Cyber Roadmap
- Optimise the value of cyber security programs by prioritising the baskets of control improvements with the greatest return on investment using GenAI RAG agents that read current project data and external industry cost data.
- Periodically assess the state of controls and quantify the level of risk buy-down achieved by your cyber program, to re-plan future changes.
Talk in the language of the Board, and optimise return on investment, without worrying about engaging consultants, blindly following vendors, or rely on what worked well in the past.
Module Technical Details
1 Application
5 Internal Integrations
4+ AI Automations (Threats, Losses, Risk & Control, Costs)
Module Dependencies
Part of our composable GRC solution.
MyGRC Core Module
MyRISK Chat
CyberQandA Questionnaires (opt)
CyberCONCUR Assurance
CyberCOMPOSER Workflow
Module Status
General Availability
AI available to Early Adopters
Find out how CyberQUANT® can help justify your cyber program
Book a 30 minute demo session where we’ll learn more about your cyber risk quantification journey, and show how we can help improve your business leader engagement.
Book a Demo”A spreadsheet with only 1,000 simulations will give 5% variation, leading to complicated business explanations each run. We can use CyberQUANT® instead, to build confidence and trust with our leadership, insurers and other stakeholders
SPSOCI Industry GRC specialist