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Developing Cybersecurity Programs and Policies in an AI-Driven World

A step-by-step guide for developing a cybersecurity framework and governance model for organizations.

(DEV-CYBSEC-AI.AB1) / ISBN : 978-1-64459-615-9
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About This Course

Cyber attacks are real! Protecting your organization’s digital assets by developing cybersecurity programs and policies is all the more important now.

Take this Cybersecurity policy development course to grasp the skills required to safeguard your organization's future. The course presents a detailed guide for securing and mitigating cyber threats, and setting up a model for AI-enhanced threat detection.

Boost your company’s cybersecurity framework with the latest AI techniques and get ready for the hackers.

Skills You’ll Get

  • Understanding of the regulatory compliance requirements like HIPAA, GDPR, PCI DSS
  • Conduct risk assessments and manage cybersecurity risks
  • Technically skilled in securing network configuration and management
  • Expertise with incident response and digital forensics
  • Understanding of Cryptography and secure communication protocols
  • Awareness of cloud security principles and best practices
  • Knowledge of social engineering and phishing prevention
  • Understanding of with AI and ML concepts and their applications in cybersecurity
  • Ability to use AI for vulnerability assessment and risk analysis
  • Understanding of ethical considerations, bias, fairness, and regulatory frameworks in AI development and deployment
  • Critical thinking and problem solving abilities
  • Lead cybersecurity teams & projects
Download Course Outline

1

Introduction

2

Understanding Cybersecurity Policy and Governance

  • Information Security vs. Cybersecurity Policies
  • Looking at Policy Through the Ages
  • Cybersecurity Policy
  • Cybersecurity Policy Life Cycle
  • Summary
  • Exercises
  • Projects
  • References
3

Cybersecurity Policy Organization, Format, and Styles

  • Policy Hierarchy
  • Writing Style and Technique
  • Policy Format
  • Summary
  • Exercises
  • Projects
  • References
4

Cybersecurity Frameworks

  • Confidentiality, Integrity, and Availability (CIA)
  • What Is a Cybersecurity Framework?
  • NIST Cybersecurity Framework
  • Summary
  • Exercises
  • Projects
  • References
5

Cloud Security

  • Why Cloud Computing?
  • Cloud Computing Models
  • Cloud Governance
  • Multitenancy
  • Core Components of the Cloud Computing Reference Architecture
  • Key Concepts and Functional Layers of Cloud Computing
  • Understanding Top Cybersecurity Risks in Cloud Computing
  • AI and the Cloud: Revolutionizing the Future of Computing
  • Summary
  • Exercises
  • References
6

Governance and Risk Management

  • Understanding Cybersecurity Policies
  • Cybersecurity Risk
  • Summary
  • Exercises
  • Projects
  • References
7

Asset Management and Data Loss Prevention

  • Information Assets and Systems
  • Information Classification
  • Labeling and Handling Standards
  • Information Systems Inventory
  • Understanding Data Loss Prevention Technologies
  • Summary
  • Exercises
  • Projects
  • References
8

Human Resources Security and Education

  • The Employee Life Cycle
  • The Importance of Employee Agreements
  • The Importance of Security Education and Training
  • Summary
  • Exercises
  • Projects
  • References
9

Physical and Environmental Security

  • Understanding the Secure Facility Layered Defense Model
  • Protecting Equipment
  • Environmental Sustainability
  • Summary
  • Exercises
  • Projects
  • References
10

Cybersecurity Operations (CyberOps), Incident Response, Digital Forensics, and Threat Hunting

  • Incident Response
  • What Happened? Investigation and Evidence Handling
  • Understanding Threat Hunting
  • Understanding Digital Forensic Analysis
  • Data Breach Notification Requirements
  • Summary
  • Exercises
  • Projects
  • References
11

Access Control Management

  • Access Control Fundamentals
  • Infrastructure Access Controls
  • User Access Controls
  • Summary
  • Exercises
  • Projects
  • References
12

Supply Chain Security, Information Systems Acquisition, Development, and Maintenance

  • Strengthening the Links: A Deep Dive into Supply Chain Security
  • System Security Requirements
  • Secure Code
  • Cryptography
  • Summary
  • Exercises
  • Projects
  • References
13

Business Continuity Management

  • Emergency Preparedness
  • Business Continuity Risk Management
  • The Business Continuity Plan
  • Business Continuity and Disaster Recovery in Cloud Services
  • Plan Testing and Maintenance
  • Summary
  • Exercises
  • Projects
  • References
14

Regulatory Compliance for Financial Institutions

  • The Gramm-Leach-Bliley Act
  • New York’s Department of Financial Services Cybersecurity Regulation
  • What Is a Regulatory Examination?
  • Personal and Corporate Identity Theft
  • Regulation of Fintech, Digital Assets, and Cryptocurrencies
  • Summary
  • Exercises
  • Projects
  • References
15

Regulatory Compliance for the Health-care Sector

  • The HIPAA Security Rule
  • The HITECH Act and the Omnibus Rule
  • Understanding the HIPAA Compliance Enforcement Process
  • Summary
  • Exercises
  • Projects
  • References
16

PCI Compliance for Merchants

  • Protecting Cardholder Data
  • PCI Compliance
  • Summary
  • Exercises
  • Projects
  • References
17

Privacy in an AI-Driven Landscape

  • Defining Privacy in the Digital Context
  • The Interplay Between AI and Privacy
  • General Data Protection Regulation (GDPR)
  • California Consumer Privacy Act (CCPA)
  • Personal Information Protection and Electronic Documents Act (PIPEDA)
  • Data Protection Act 2018 in the United Kingdom
  • Leveraging AI to Enhance Privacy Protections
  • Summary
  • Exercises
  • Project
  • References
18

Artificial Intelligence Governance and Regulations

  • The AI Double-Edged Sword
  • Generative AI, LLMs, and Traditional Machine Learning Implementations
  • Introduction to AI Governance
  • The U.S. Executive Order on the Safe, Secure, an...y Development and Use of Artificial Intelligence
  • The Importance of High Accuracy and Precision in AI Systems
  • Explainable AI (XAI): Building Trust and Understanding
  • Government and Society-wide Approaches to AI Governance
  • The EU AI Act
  • Guidelines for Secure AI System Development
  • OWASP Top 10 Risks for LLM
  • MITRE ATLAS Framework
  • Summary
  • Exercises
  • Project
  • References

1

Understanding Cybersecurity Policy and Governance

  • Understanding Cybersecurity Policy and Governance
2

Cybersecurity Policy Organization, Format, and Styles

  • Exploring Cybersecurity Policy Templates
3

Cybersecurity Frameworks

  • Understanding and Implementing the NIST Cybersecurity Framework
4

Cloud Security

  • Exploring the Integration of AI and Cloud Computing
5

Governance and Risk Management

  • Analyzing and Developing Cybersecurity Policies
6

Asset Management and Data Loss Prevention

  • Exploring Data Loss Prevention (DLP) Technologies and Their Role in Cybersecurity
7

Human Resources Security and Education

  • Exploring Security Education and Training: Building a Cybersecurity-Aware Workforce
8

Physical and Environmental Security

  • Implementing Physical Security
  • Integrating Environmental Sustainability into Organizational Strategy
9

Cybersecurity Operations (CyberOps), Incident Response, Digital Forensics, and Threat Hunting

  • Leveraging AI for Enhanced Threat Intelligence in Cybersecurity
  • Examining MITRE ATT&CK
  • Analyzing Pwned Passwords
  • Completing the Chain of Custody Form
10

Access Control Management

  • Enabling an ACL
  • Configuring a Firewall
  • Setting Up a DMZ
  • Implementing Intrusion Detection and Prevention
11

Supply Chain Security, Information Systems Acquisition, Development, and Maintenance

  • Fuzzing Using OWASP ZAP
  • Examining PKI Certificates
  • Understanding Symmetric Key Cryptography
  • Creating Asymmetric Key Pairs
12

Business Continuity Management

  • Understanding Business Continuity and Disaster Recovery in Cloud Environments
13

Regulatory Compliance for Financial Institutions

  • Understanding Personal and Corporate Identity Theft
14

Regulatory Compliance for the Health-care Sector

  • Ensuring Compliance with the HIPAA Security Rule
15

PCI Compliance for Merchants

  • Safeguarding Cardholder Data: Exploring PCI DSS Compliance
16

Privacy in an AI-Driven Landscape

  • Balancing AI and Privacy: Exploring Privacy-Preserving Techniques in AI
17

Artificial Intelligence Governance and Regulations

  • Enhancing Accuracy and Precision in AI Systems: A Critical Analysis
  • Implementing Guidelines for Secure AI System Development

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Everything that you have not read above, is covered in this section.

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All those interested in learning about cybersecurity principles, policies and best practices should do this course. IT professionals from the following backgrounds will benefit greatly:

  • Security Analyst
  • Network Engineer
  • System Administrator
  • Cyber Security Engineer
  • Risk Management Professional
  • Compliance Officer
  • Business Analyst

  Artificial Intelligence (AI) is revolutionizing cybersecurity in many ways:

  • AI-enhanced threat detection systems
  • Automated response to routine tasks like incident response
  • Improved vulnerability assessment with AI scans
  • Advanced phishing detection with AI scans
  • Analyzing real-time threat intelligence feeds

Yes, this courseware comes with hands-on Lab exercises for practical training simulating real-world problems.

Learning how to develop Cybersecurity Programs and Policies with high-tech AI-enhanced threat detection is a desirable job skill that can help you fetch the following job roles:

  • Compliance Officer
  • Digital Forensics Analyst
  • Threat Intelligence Analyst
  • Chief Information Security Officer (CISO)
  • Security Architect / Engineer
  • Penetration Tester

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