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Computer Science
Cybersecurity
Zero Trust Security
1. Foundations of Zero Trust
2. Core Pillars of Zero Trust Architecture
3. Enabling Technologies and Controls
4. Implementing Zero Trust Strategy
5. Governance, Risk, and Compliance
6. Advanced Zero Trust Concepts
7. Future of Zero Trust
6.
Advanced Zero Trust Concepts
6.1.
Zero Trust for Cloud Environments
6.1.1.
Multi-Cloud Security
6.1.1.1.
Cloud Security Posture Management
6.1.1.2.
Cloud Access Security Brokers
6.1.1.3.
Cloud Workload Protection
6.1.2.
Container and Kubernetes Security
6.1.2.1.
Container Image Security
6.1.2.2.
Runtime Protection
6.1.2.3.
Orchestration Security
6.1.3.
Serverless Security
6.1.3.1.
Function-Level Security
6.1.3.2.
Event-Driven Security
6.1.3.3.
Serverless Monitoring
6.2.
Zero Trust for Operational Technology
6.2.1.
OT Security Challenges
6.2.1.1.
Air-Gapped Networks
6.2.1.2.
Legacy System Integration
6.2.1.3.
Safety vs Security
6.2.2.
Industrial Control Systems Security
6.2.2.1.
SCADA Security
6.2.2.2.
PLC Protection
6.2.2.3.
HMI Security
6.2.3.
OT Network Segmentation
6.2.3.1.
Purdue Model Implementation
6.2.3.2.
Zone and Conduit Design
6.2.3.3.
Remote Access Security
6.3.
Zero Trust for IoT and Edge Computing
6.3.1.
IoT Device Security
6.3.1.1.
Device Identity Management
6.3.1.2.
Firmware Security
6.3.1.3.
Communication Security
6.3.2.
Edge Computing Security
6.3.2.1.
Edge Node Protection
6.3.2.2.
Data Processing Security
6.3.2.3.
Edge-to-Cloud Security
6.4.
Artificial Intelligence and Machine Learning Integration
6.4.1.
AI-Powered Threat Detection
6.4.1.1.
Behavioral Analysis
6.4.1.2.
Anomaly Detection
6.4.1.3.
Predictive Analytics
6.4.2.
Automated Policy Optimization
6.4.2.1.
Dynamic Policy Adjustment
6.4.2.2.
Risk-Based Automation
6.4.2.3.
Continuous Learning
6.4.3.
AI Security Considerations
6.4.3.1.
Model Security
6.4.3.2.
Data Privacy
6.4.3.3.
Adversarial Attacks
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5. Governance, Risk, and Compliance
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7. Future of Zero Trust