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Class 1: Enterprise Cybersecurity Strategy
Course Focus
Zero Trust Architecture, Cloud Security, AI Governance
Target Audience
- Security professionals and architects
- IT administrators and engineers
- DevOps and cloud engineers
- Business leaders and risk managers
- Compliance officers
Course Description
This class provides a comprehensive overview of modern enterprise security strategies, focusing on Zero Trust principles, cloud-native security, AI-driven defense mechanisms, and governance frameworks. Students will learn how to design, implement, and manage security architectures that protect organizations in today’s complex threat landscape.
Modules
- Foundations of Zero Trust Architecture
- Cloud-Native Security & DevSecOps
- AI-Driven Threat Defense & Response
- Governance, Risk, and Compliance
Module 1: Foundations of Zero Trust Architecture (ZTA)
Overview
Understanding the paradigm shift from perimeter-based security to identity-centric Zero Trust models.
Topics Covered
1.1 The Death of the Perimeter
- Evolution of network security models
- Why traditional firewalls are insufficient
- The rise of remote work and cloud migration
- Attack surface expansion
- [Content to be added]
1.2 Identity as the New Perimeter
- Identity and Access Management (IAM) fundamentals
- Multi-Factor Authentication (MFA) implementation
- Single Sign-On (SSO) strategies
- Privileged Access Management (PAM)
- [Content to be added]
1.3 Micro-segmentation Strategies
- Network segmentation vs. micro-segmentation
- Software-defined perimeters
- Zero Trust network access (ZTNA)
- Implementation in hybrid environments
- [Content to be added]
1.4 Continuous Verification
- “Never Trust, Always Verify” principle
- Continuous authentication and authorization
- Risk-based access controls
- Behavioral analytics
- [Content to be added]
Learning Objectives
- Understand the limitations of perimeter-based security
- Design Zero Trust architecture for hybrid environments
- Implement identity-centric security controls
- Apply continuous verification principles
Resources
- [To be added]
Module 2: Cloud-Native Security & DevSecOps
Overview
Securing modern cloud infrastructure and integrating security into the development lifecycle.
Topics Covered
2.1 Securing Multi-Cloud Environments
- AWS security best practices
- Azure security fundamentals
- GCP security architecture
- Cross-cloud security challenges
- [Content to be added]
2.2 CSPM & CWPP
- Cloud Security Posture Management (CSPM) tools
- Cloud Workload Protection Platforms (CWPP)
- Configuration drift detection
- Compliance monitoring
- [Content to be added]
2.3 Shift-Left Security
- Integrating security into CI/CD pipelines
- Static Application Security Testing (SAST)
- Dynamic Application Security Testing (DAST)
- Infrastructure as Code (IaC) security scanning
- [Content to be added]
2.4 Container & Kubernetes Security
- Container image security
- Kubernetes security best practices
- Runtime security monitoring
- Service mesh security
- [Content to be added]
Learning Objectives
- Implement security controls across multi-cloud environments
- Integrate security into DevOps workflows
- Secure containerized applications and orchestration platforms
- Automate security testing in CI/CD pipelines
Resources
- [To be added]
Module 3: AI-Driven Threat Defense & Response
Overview
Leveraging artificial intelligence for threat detection, hunting, and automated response.
Topics Covered
3.1 Understanding Agentic AI Threats
- AI-powered attack techniques
- Automated vulnerability exploitation
- Adversarial machine learning
- AI-driven defense mechanisms
- [Content to be added]
3.2 Building an Autonomous SOC
- Modern Security Operations Center architecture
- AI/ML in threat detection
- Automated alert triage
- Integration with SIEM and XDR platforms
- [Content to be added]
3.3 Threat Hunting with GenAI
- Proactive threat hunting methodologies
- Using GenAI for hypothesis generation
- Natural language query interfaces
- Pattern recognition and anomaly detection
- [Content to be added]
3.4 Automated Incident Response
- Security Orchestration, Automation, and Response (SOAR)
- Playbook development
- Automated remediation workflows
- Integration with security tools
- [Content to be added]
Learning Objectives
- Understand AI-driven threats and defenses
- Design autonomous SOC capabilities
- Implement threat hunting programs
- Develop automated incident response workflows
Resources
- [To be added]
Module 4: Governance, Risk, and Compliance (GRC)
Overview
Navigating regulatory requirements, managing risk, and ensuring organizational resilience.
Topics Covered
4.1 Navigating Global Regulations
- EU AI Act requirements and implications
- GDPR compliance strategies
- CCPA and US privacy laws
- Cross-border data transfer regulations
- [Content to be added]
4.2 Supply Chain Security
- Software Bill of Materials (SBOM) management
- Open source risk assessment
- Vendor security evaluation
- Securing the software supply chain
- [Content to be added]
4.3 Third-Party Risk Management
- TPRM frameworks and methodologies
- Vendor risk assessment
- Continuous monitoring programs
- Contract and SLA considerations
- [Content to be added]
4.4 Cyber Resilience
- Business Continuity Planning (BCP)
- Disaster Recovery (DR) strategies
- Incident response planning
- Resilience testing and validation
- [Content to be added]
Learning Objectives
- Navigate complex regulatory landscapes
- Implement supply chain security controls
- Develop third-party risk management programs
- Build organizational cyber resilience
Resources
- [To be added]
Assessment & Exercises
Hands-on Labs
- [To be added]
Case Studies
- [To be added]
Projects
- [To be added]
Additional Resources
Recommended Reading
- [To be added]
Tools & Platforms
- [To be added]
Industry Frameworks
- NIST Cybersecurity Framework
- MITRE ATT&CK Framework
- Zero Trust Architecture (NIST SP 800-207)
- CIS Controls
Last Updated: 2026-01-07