Certified Cyber Risk Quantification Professional (CCRQP) Workshop
This comprehensive 2-day workshop equips cybersecurity, risk, and business professionals with the skills to quantify cyber risk in financial terms, apply the FAIR model and Monte Carlo simulation, and communicate risk-based decisions with confidence.
₹8000 / $100
Standard Fee
₹7500 / $80
Returning Participants
₹7500 / $80
ISACA / ISC2 Members
3+ Participants
Group Discounts
Custom Pricing
Corporate Training
Who Should Attend?
CISOs & Security Leaders
Risk Professionals
Security Architects & Analysts
IT Audit & Compliance Teams
Finance, Insurance & Business Risk Leaders
Why Attend the CCRQP Workshop?
Express cyber risk through measurable loss ranges
Gain practical experience applying the FAIR model to cyber risk scenarios
Build and interpret Monte Carlo simulations in Excel, with an optional Python track
Use quantified risk to justify control spend, insurance and risk appetite decisions
Learn to communicate cyber risk to boards and CFOs using financial language
Develop a foundation for establishing and maturing a Cyber Risk Quantification program
Why CCRQP Workshop Is Important?
What Will You Learn?
Foundations and the FAIR Model
SESSION 01
Why Quantify Cyber Risk?
- Limits of heat maps and qualitative ratings
- Qualitative vs. quantitative risk
- Speaking the language of the business
- Real incident case study
SESSION 02
Risk Fundamentals and Terminology
- Asset, threat, vulnerability, control and loss event
- Inherent vs. residual risk
- Risk appetite and tolerance
- ALE and its limitations
SESSION 03
Probability and Statistics Essentials
- Ranges vs. point estimates
- PERT, lognormal and beta distributions
- Calibration and overconfidence
- Monte Carlo simulation
SESSION 04
The FAIR Model Deep Dive
- FAIR taxonomy
- Loss Event Frequency & Loss Magnitude
- NIST, ISO 27005 and hybrid approaches
LAB 01
Scenario Scoping and Decomposition
- Define asset, threat, effect and loss types
- Decompose a real-world-based scenario FAIR-style
Estimation, Simulation and Decision-Making
SESSION 05
Data and Estimation
- Calibrated SME elicitation
- Internal data
- External sources
- Handling sparse data
SESSION 06
Monte Carlo Simulation
- Build the model in Excel (Optional Python track)
- Run simulations
- Read the loss exceedance curve
- Interpret P50, P90 and P95
SESSION 07
Control ROI and Risk-Based Decisions
- Before/after control scenarios
- Cost-benefit analysis and prioritization
- Cyber insurance and risk transfer
- Risk appetite thresholds
SESSION 08
Communicating CRQ to Leadership
- Board and CFO-ready reporting
- Telling the story behind the numbers
- Common pitfalls and objections
LAB 03 / CAPSTONE
End-to-End Quantification
- End-to-end quantification of a case scenario
- Evaluating a control investment
- Board pitch presentation
SESSION 09
Building a CRQ Program
- Maturity roadmap
- Tools landscape
- Q&A and key takeaways