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Modern Data Loss Prevention (DLP); Strategies, Technologies, and Implementation in a Dynamic Threat Landscape; Mastering Data Classification, Cloud DLP, Endpoint Security, and Compliance for Comprehensive Data Protection

$199.00
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Modern Data Loss Prevention (DLP): Strategies, Technologies, and Implementation in a Dynamic Threat Landscape



Mastering Data Classification, Cloud DLP, Endpoint Security, and Compliance for Comprehensive Data Protection

Course Overview

This comprehensive course covers the latest strategies, technologies, and best practices for implementing a robust Data Loss Prevention (DLP) program in a dynamic threat landscape. Participants will gain hands-on experience with data classification, cloud DLP, endpoint security, and compliance, and receive a certificate upon completion.

Course Features

  • Interactive and engaging learning experience
  • Comprehensive and up-to-date content
  • Personalized learning with expert instructors
  • Practical, real-world applications and case studies
  • High-quality content, including video lessons, quizzes, and hands-on projects
  • Certificate of Completion awarded to participants
  • Flexible learning with lifetime access to course materials
  • User-friendly and mobile-accessible platform
  • Community-driven discussion forum for networking and Q&A
  • Actionable insights and takeaways for immediate application
  • Hands-on projects and bite-sized lessons for optimal learning
  • Gamification and progress tracking for engagement and motivation

Course Outline

Module 1: Introduction to Data Loss Prevention (DLP)

  • Defining DLP and its importance in modern cybersecurity
  • Understanding the types of data that need protection
  • Overview of DLP strategies and technologies
  • Introduction to data classification and categorization
  • Best practices for implementing a DLP program

Module 2: Data Classification and Categorization

  • Data classification frameworks and standards
  • Data categorization techniques and tools
  • Understanding data sensitivity and risk levels
  • Best practices for data classification and categorization
  • Case studies and real-world examples

Module 3: Cloud Data Loss Prevention (DLP)

  • Cloud DLP fundamentals and architecture
  • Cloud DLP solutions and technologies
  • Configuring and deploying cloud DLP
  • Best practices for cloud DLP implementation
  • Case studies and real-world examples

Module 4: Endpoint Security and DLP

  • Endpoint security fundamentals and architecture
  • Endpoint DLP solutions and technologies
  • Configuring and deploying endpoint DLP
  • Best practices for endpoint DLP implementation
  • Case studies and real-world examples

Module 5: Compliance and Regulatory Requirements

  • Overview of compliance and regulatory requirements
  • Understanding data protection regulations (e.g. GDPR, HIPAA)
  • Best practices for compliance and regulatory adherence
  • Case studies and real-world examples
  • Compliance and regulatory requirements for DLP

Module 6: Implementing a DLP Program

  • Developing a DLP strategy and roadmap
  • Defining DLP policies and procedures
  • Implementing DLP technologies and solutions
  • Training and awareness programs for DLP
  • Monitoring and incident response for DLP

Module 7: Advanced DLP Topics

  • Advanced DLP technologies and solutions
  • Artificial intelligence and machine learning for DLP
  • Internet of Things (IoT) and DLP
  • Cloud security and DLP
  • Emerging trends and technologies in DLP

Module 8: DLP Case Studies and Best Practices

  • Real-world case studies of DLP implementation
  • Best practices for DLP implementation and management
  • Lessons learned from DLP implementation
  • DLP metrics and benchmarking
  • Continuous improvement and optimization of DLP

Certificate of Completion

Upon completing the course, participants will receive a Certificate of Completion, demonstrating their expertise in modern data loss prevention (DLP) strategies, technologies, and implementation.

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