Course Highlights
  • Approx. 6 Weeks To Complete
  • Certification By NYU
  • Develop Innovative Practices
  • Evaluate Use Cases





Curriculum

3 Topics
Analyze the role of Enterprise Cybersecurity
Discuss the law of large numbers in terms of cybersecurity applications
Learn how data science is applied to cybersecurity within an organization

3 Topics
Discuss machine learning systems that learn and adapt without explicit instructions
Evaluate the seven steps to machine learning success
Compare and contrast deep learning and traditional machine learning

3 Topics
Analyze how the use of data science is a game-changer for IAM
Compare and contrast the conventional PAM approach with a data science-driven approach
Evaluate conventional third-party governance terms and conditions with data science methods that operate with risk scores in real time

3 Topics
Discuss the changing landscape of cybersecurity and the growing obsolescence of passwords
Compare and contrast the spectrum of advanced authentication choices
Evaluate three primary benefits of continuous behavioral authentication

3 Topics
Evaluate how KPIs measure the health of a program; process; or control
Analyze key risk indicators in terms of inherent or residual risks
Learn how to choose your enterprise platform(s): purchase vs. build

4 Topics
Explain the importance of adjusting conventional hiring practices in market conditions that require a change
Evaluate innovative talent development practices
Analyze the characteristics of leadership commitment in terms of talent scarcity and a changing market
Appraise the evolution of model-driven security

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Enterprise Cybersecurity

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