Ferhat Yazgili
Global expert in AI-enabled cybersecurity governance and quantitative risk management. Nearly two decades at the intersection of cybersecurity, governance, and AI-enabled risk management.
Most organizations still describe cyber risk in colors and maturity levels. That is not good enough for a decision that involves real money.
This work sits at the intersection of cybersecurity governance and quantitative risk analysis. A quantitative cyber risk management methodology, combined with Monte Carlo simulation, translates cyber and operational risk into the same financial language a board already uses for every other capital decision: expected loss, a confidence range, and a return on the control that reduces it. A maturity score cannot be compared against a budget line. An exposure figure can.
The other half of the work is making that discipline operational rather than a one-time exercise. AI-driven automation is applied to the parts of GRC that are usually manual and inconsistent, continuous risk monitoring, evidence collection, and reporting, so that a quantified view of exposure stays current instead of aging into a shelf document between annual reviews.
Cyber Risk Quantification
A quantitative cyber risk management methodology and Monte Carlo simulation express cyber exposure as an expected loss range, with Return on Control to prioritize which mitigation is actually worth funding.
Regulatory and Resilience Readiness
Bringing ICT risk programs into line with DORA, NIS2, and ISO 27001, and connecting those governance obligations to an actual quantified risk picture rather than a checklist.
AI-Driven GRC Automation
Applying automation to continuous risk monitoring, evidence handling, and reporting, so a quantified exposure view stays current instead of resetting to zero after each audit cycle.
Executive Risk Communication
Turning a technical risk finding into a number and a question a board or an investment committee can actually act on, calibrated the same way any other financial estimate would be.
Risk Horizon
Risk Horizon collects ongoing analysis: practitioner notes on where published frameworks like DORA, NIS2, and MITRE ATT&CK stop, and what quantification adds on top of them.
Read Risk Horizon →