Charlene Deaver-Vazquez speaks on how probabilistic modeling—Bayesian analysis, conditional probability, and risk quantification—transforms cyber risk from qualitative judgment into measurable business exposure.

Her sessions focus on helping executive audiences understand:

• What their most likely risks actually are

• How those risks are changing (especially with AI)

• And whether current controls are meaningfully reducing expected loss

This is not a discussion about tools or frameworks. It’s about making defensible decisions under uncertainty.

Charlene often speaks on the following topics:

• AI Is Changing Cyber Risk—Most Models Haven’t Caught Up

  AI is increasing attack success rates, scaling threats, and degrading traditional controls.

  This session explores how to model that shift using probabilistic approaches and dynamic risk assumptions.

  Audience takeaway:

  • Understand where AI is increasing likelihood of attack success

  • Identify where control effectiveness is declining

  • Adjust risk models to reflect real-world conditions

• Integrating risk quantification into the risk management process

  Most organizations struggle with the basic question: "What should I quantify and why?"

  This session focuses on simplification of risk quantification

  Audience takeaways:

  • Qualitative to quantitative as a first step

  • Identify where quantitative analytics make sense

  • Measuring risk and risk reduction

• Cyber Risk Quantification: From Guesswork to Measurable Loss

  Most organizations cannot answer a simple question: "What is our most likely financial loss?"

  This session shows how probabilistic models—including Bayesian methods and conditional probability—transform qualitative cyber risks into measurable, decision-ready outcomes.

  Audience takeaway:

  • Quantify likelihood and impact, not just scenarios

  • Translate cyber risk into financial terms for leadership

  • Identify where risk is actually concentrated

• Measuring Risk and Risk Reduction

  Most CISOs cannot answer a simple question: "How much have we reduced the risk?"

  This session shows walks participants through the process of measuring risk and risk reduction.

  Audience takeaway:

  • Linking vulnerabilities to scenarios to measure risk

  • A basic method for quantifying risk (back-of-the-napkin math)

  • Basics of estimating and measuring risk reduction

Charlene is also available for:

• Podcast interviews (cyber risk, AI impact, executive decision-making)

• Executive briefings for leadership teams and boards

• Private sessions aligned to specific industry or risk scenarios

Her approach is discussion-driven and tailored to real-world business context—not generic cybersecurity commentary.

Charlene Deaver-Vazquez is a cyber risk modeling expert and founder of CyberRiskModels.com, where she develops business-level forecasting models used to quantify cybersecurity risk in financial terms.

Her work addresses a critical gap in cybersecurity: the inability to translate technical threats into clear, defensible business impact. By combining probabilistic modeling, real-world threat data, and control effectiveness analysis, she provides leadership teams with a forward-looking view of cyber risk—focused on likelihood, impact, and decision relevance.

Charlene works directly with CISOs and executive stakeholders to help them align cyber risk with enterprise risk priorities, improve risk communication, and evaluate whether current investments are meaningfully reducing expected loss.

Her speaking and advisory work focuses on emerging threat dynamics, including AI-driven attack models, control degradation, and the shifting nature of risk across industries.

Whether you're hosting a conference, organizing a podcast, or briefing leadership teams, Charlene delivers insights that connect cybersecurity directly to business risk and financial impact.

👉 Book Charlene to Speak
👉 Request a Podcast Interview