Essentials of Data Loss Prevention(DLP)

Welcome to the Intermediate Data Loss Prevention (DLP) Training! In this course, you will build upon your foundational knowledge of DLP and delve deeper into the concepts, strategies, and techniques n...

Delivery Method: Instructor-Led Training

Course Delivery Format: live

Course Level

Timeline

Price

£200

Description

Welcome to the Intermediate Data Loss Prevention (DLP) Training! In this course, you will build upon your foundational knowledge of DLP and delve deeper into the concepts, strategies, and techniques necessary to protect sensitive data within your organization. This intermediate-level training is designed for professionals who have a basic understanding of DLP and are looking to expand their expertise in implementing effective data protection strategies.

Course Objectives

  • Analyze and assess data loss risks within an organization's environment.
  • Design and implement more advanced DLP policies to address specific data protection needs.
  • Utilize DLP solutions to monitor, detect, and prevent data breaches and leaks.
  • Develop incident response strategies for DLP incidents.
  • Collaborate with cross-functional teams to integrate DLP into broader cybersecurity frameworks.
  • Stay updated on the latest trends and developments in DLP technologies and best practices.

Course Outline

Course Outline for Essentials of Data Loss Prevention(DLP)

Understanding Data Loss Prevention Concepts

  • Introduction to Data Loss Prevention (DLP): Definition and importance of DLP
  • Common reasons for data breaches and leaks
  • DLP Components and Architecture: Overview of DLP components: endpoints; network; storage
  • DLP architecture and data flow
  • Types of Data and Data Classification: Sensitive data types: personally identifiable information (PII); financial data; intellectual property etc.
  • Data classification and labeling
  • DLP Policies and Rules: Creating effective DLP policies
  • Rule-based vs. content-based policies
  • Policy examples for different data types and scenarios

Implementing DLP Solutions

  • Endpoint DLP: Endpoint protection agents and their role
  • Monitoring and controlling data on endpoints
  • Balancing security and user productivity
  • Network DLP: Network monitoring techniques: deep packet inspection; regular expressions
  • Preventing data exfiltration through network channels
  • Integrating with firewalls and proxies
  • Storage DLP: Monitoring and securing data in storage repositories
  • Cloud storage considerations and challenges
  • Insider threats and data hoarding
  • Data Discovery and Classification Tools: Automated data discovery tools
  • Manual data classification and labeling
  • Integrating classification metadata with DLP policies

DLP Best Practices and Advanced Topics

  • Incident Response and Remediation
  • Detecting and responding to DLP incidents
  • Incident prioritization and escalation
  • Steps for effective data breach containment
  • DLP Reporting and Auditing
  • Generating meaningful DLP reports
  • Auditing and compliance requirements
  • Demonstrating DLP effectiveness to stakeholders
  • Advanced DLP Techniques:
  • Behavior-based DLP: anomaly detection and user behavior analytics
  • Encryption and data masking for data protection
  • Integration with Security Information and Event Management (SIEM) systems
  • Future Trends in DLP:
  • Machine learning and AI in DLP
  • Zero-trust security and its impact on DLP
  • Evolving regulatory landscape and its effect on DLP strategies

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 as 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.
We develop human capital by enhancing the skills, knowledge and prospects of people who want to have great careers as IT security practitioners. We do this by focusing on rounded training that leads to a successful result and additional support down the line.
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