Interactive e-learning Platform

Data-Driven Cyber Risk Management for Practitioners

Unlock the power of data-driven cyber risk management with C-Risk Education. Learn to quantify and prioritize cyber risk using the FAIR™ framework. Hear from cyber risk experts in their own words. Develop the skills to tell a compelling story of cyber risk to communicate with stakeholders, driving informed decisions and resource allocation.

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Enterprise CRQ e-Learning Support

Cyber risk insights for cyber risk teams

Equip your risk team with the critical skills and practical knowledge to implement data-driven methods using FAIR™ and CRQ in your organization. As an Enterprise Customer, you will benefit from:

Dedicated Support

Access to personalized support from our training experts to enhance your team’s online learning experience

Bespoke Instructor-Led Session

In addition to the 3 live sessions, our training expert will organize an live session to address your team's risk management needs or challenges

Discounted Rate for Multi-License Purchase

Benefit from special pricing when you purchase multiple licenses for your team

C-Risk Education Advantage

Gain in-demand skills and expertise in data-driven cyber risk management with C-Risk Education

Our practitioner-oriented e-learning course is an in-depth exploration of data-driven cyber risk management methods. It complements traditional qualitative risk management by introducing a quantitative approach and framework that reduces cognitive bias, optimizes resource allocation, and supports defensible decision-making.

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Interactive and visual learning experience

Developed by data-driven risk management experts in collaboration with pedagogical experts for an augmented learning experience.

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Learn from cyber risk experts from all levels of business

Cyber risk experts from Europe and across the globe share what they've learned working in data-driven risk management as consultants, analysts, and business leaders.

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Personalized learning experience

Work at your own pace. Skip ahead if you’re already familiar with a topic or revisit challenging lessons as many times as you need to achieve mastery.

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Open FAIR™ 2 Foundation exam preparation

Data-Driven Cyber Risk Management for Practitioners prepares learners for the Open FAIR™ 2 Foundation Exam as part of the course objectives.

C-Risk Education e-Learning Platform in Numbers

+16 hours of interactive, self-paced content
Developed by cyber and pedagogical experts

Course material was developed in partnership with cybersecurity and risk management professionals and pedagogical experts for enhanced learning outcomes

3 live sessions
Instructor-led sessions with live Q&A

Topic-based sessions on data-driven cyber risk management, including time for Q&A are included

+50 Expert Insight videos
Data-driven risk management in practice

Cybersecurity experts and risk professionals discuss their professional experience implementing frameworks and troubleshooting with clients

+70 lessons
Including 8 test-yourself checkpoints

Course objectives are clearly defined at the beginning of each chapter and the interactive lessons are presented in digestible chunks to accelerate skill acquisition

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The quality certification was issued for the following category of action: TRAINING ACTIONS.

Develop quantitative risk management skills at your own pace with C-Risk Education

Master advanced data-driven risk analysis techniques and develop the in-demand skills you need to stay ahead.

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C-Risk Education objectives

Transform Your Approach to Risk Management with Data-Driven Cyber Strategies

C-Risk Education’s e-learning platform empowers risk professionals by advancing data-driven cyber risk methods and knowledge.

Challenge your knowledge of risk and risk management

Learn effective techniques for identifying cognitive biases and noise that impact data collection and analysis, using statistical methods to minimize their influence and improve results.

Identify the shortcomings of qualitative methods of risk analysis

Qualitative risk analysis methods, while widely used, often lack accuracy and objectivity. These shortcomings can be effectively addressed using a risk-based and quantitative approach.

Learn to quantify risk in monetary terms using the FAIR™ framework

Use the only international standard quantitative model for information security and operational risk to scope risk scenarios, model risk scenarios in FAIR, make probabilistic estimates for financial quantification, and interpret your results.

Elevate your approach to data-driven cyber risk management

Register today for the Data-Driven Cyber Risk Management for Practitioners e-learning course. Gain insights from risk management and cybersecurity experts, learn quantitative techniques, and challenge conventional conceptions of risk.

Sign up today
C-Risk Education e-learning FAQ

Here you'll find answers to some of your questions.

Does the e-learning course prepare me for the Open FAIR™ 2 Foundation exam?

The Data-Driven Cyber Risk Management for Practitioners e-learning course provides comprehensive coverage of the Open FAIR™ Body of Knowledge, including its taxonomy and methodology. Upon completing the course, you will be well-prepared to pass the associated certification exam. Please note that the exam is offered at an additional cost and is administered by an approved testing center.

What is the difference between e-learning and an online training course?

E-learning is a self-paced and self-guided learning format that is accessed through a learning platform. Online training courses are often have time constraints, including deadlines for completing lessons and work and reporting to an instructor. C-Risk Education's e-Learning Platform is designed for the busy risk professional to complete on their own and at their own pace.

Will an instructor be available to answer questions?

The e-learning course package includes three live sessions. The three live sessions cover the practical aspects of data-driven cyber risk management and include time at the end of each session for questions and answers with an instructor.