Introduction to Data Loss Prevention
The Introduction to Data Loss Prevention Training is designed to provide participants with a comprehensive understanding of data loss prevention strategies, technologies, and best practices. This cour...
Delivery Method: Video-Based Training
Course Delivery Format: recording
Course Level
Timeline
Price
£200
Description
The Introduction to Data Loss Prevention Training is designed to provide participants with a comprehensive understanding of data loss prevention strategies, technologies, and best practices. This course aims to equip individuals and organizations with the necessary knowledge and skills to safeguard sensitive data, protect against data breaches, and ensure compliance with data protection regulations.
Course Objectives
- Understand the fundamentals of data loss prevention (DLP) and its significance in protecting sensitive information.
- Identify various types of sensitive data and recognize the potential risks and consequences associated with data breaches.
- Comprehend the legal and regulatory requirements related to data protection, including GDPR, HIPAA, and other relevant standards.
- Acquire knowledge of the different data loss prevention technologies, tools, and solutions available in the market.
- Learn how to implement effective data loss prevention policies, procedures, and controls within an organization.
- Gain insights into data classification methodologies and techniques for labeling and tagging sensitive data.
- Develop an understanding of the detection and monitoring mechanisms used to identify data leakage and unauthorized access attempts.
- Learn about incident response and mitigation strategies to minimize the impact of data breaches.
- Explore real-world case studies and examples to understand the practical application of data loss prevention strategies.
- Stay up to date with emerging trends and challenges in the field of data loss prevention.
Course Outline
Course Outline for Introduction to Data Loss Prevention
Introduction to Data Loss Prevention
- Understanding data loss prevention
- Importance of data protection and Consequences of data breaches
Legal and Regulatory Framework
- Overview of data protection regulations (e.g. GDPR; HIPAA) and Compliance requirements and implications
Data Loss Prevention Technologies and Solutions
- Types of DLP technologies
- Evaluation and selection of DLP solutions
- Integration with existing security infrastructure
Implementing Data Loss Prevention
- Developing DLP policies and procedures
- Data classification and labeling and User education and awareness
Data Leakage Detection and Monitoring
- DLP detection techniques
- Monitoring and analysis of data flows and Insider threat detection
Incident Response and Mitigation
- Incident response planning
- Incident handling and reporting and Mitigation strategies and post-incident analysis
Case Studies and Best Practices
- Real-world examples of data loss prevention and Best practices for effective DLP implementation
Emerging Trends and Challenges
- Current trends in data loss prevention and Future challenges and advancements in the field
Course Prerequisites
Participants should have a basic understanding of computer networks, operating systems, and general IT concepts. Basic knowledge of dt classification or informtion labeling. Familiarity with dt protection law such s GDPR and basic data security protection controls such encryption will be beneficial but not mandatory.
Career Path
- Cybersecurity analyst
- Identity access management (IAM) analyst
- Data Loss Prevention (DLP) analyst
- Privilege Access Management (PAM) analyst
Target Audience
- IT professionals responsible for data security and protection
- Information security officers
- Data protection officers
- Compliance officers
- System administrators
- Risk management professionals
- Privacy advocates
- Managers and decision-makers involved in data governance
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Exams & Certifications
- Exam SC-400: Microsoft Information Protection Administrator.
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