ANT0502

Cyber security risk management

Duration of training: 5 days

start date: Monday, June 16, 2025

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description
course

The material of this course will allow listeners to study methods of risk management, more specifically - risk assessment, based on the construction of numerical probabilistic models, in particular Monte Carlo models. A number of risk assessment methods proposed at the seminar are probabilistic Bayesian methods applied under conditions of partial uncertainty. For all the methods considered, adjustment techniques are given, taking into account subjective data. In addition, the course deals with methods of risk assessment under conditions of "full uncertainty". The main goal of the seminar is to show the possibility of using measurable and mathematically reliable numerical methods of risk management in the context of cyber security.

course audience

Employees responsible for risk management tasks; Employees making project managements decisions.

prerequisites

General cyber security knowledge at the ANT0000 course level, as well as knowledge of modeling cyber security threats at the ANT0052 course level are required.

how it works
education

online course

The online course involves group classes with an instructor via video conferencing, in addition, homework and an exam.

for corporate clients

training for corporate clients includes online and self-study courses, as well as additional services required by corporate clients: organizing training plans for client departments, assessing the effectiveness of training, etc.

teacher
course

program
course

• Modeling cyber security threats.
• Uncertainty and measurement.
• Probability theory for situations of uncertainty.
• Methods of mathematical statistics.
• Monte Carlo modeling method.
• Adjustment of subjective data.
• Measurability of modeling results.
• Probabilistic loss curves and their analysis.
• Subjective data and its objective evaluation.
• Decomposition of input data.
• Extending Monte Carlo model with conditional probabilities. Bayesian methods.
• Specialized probabilistic models.
• Selection of relevant probability distributions.
• Measurability and validity of probabilistic models for cyber security risk assessment.
• Probabilistic loss curves.
• Risk management strategies and techniques.
• Risk-based decision-making methods.
• Compatibility with international IS management systems: ISO, Cobit, NIST.
• FAIR concept.
• Data measurement and analysis.
• Risk calculation methodologies.
• Typical scenarios.
• Implementing FAIR risk management.
• Corporate cyber security architecture.
• Selecting technical solutions based on risk management decisions.
• Selecting metrics for monitoring corporate cyber security.
• Modernizing methods of probabilistic risk assessment model.

Сourse purchase
options

individual

Cost — $1,550.00

Group online classes

Unlimited access to all the materials

Live webinars with teachers

Homework

Exam with certificate

Course dates:

pay for the course

corporate

Cost от $1,550.00

To obtain information about the final cost and clarify the date of the course, please fill out the form.

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