Cyber Defense Shield Your Data #259004

Upon completion of this course, participants will be able to:

• Classify and Discover Sensitive Data: Identify, categorize, and locate critical data across on-premises and cloud environments.

• Design a Data-Centric Security Architecture: Implement a layered defense strategy using encryption, tokenization, and data masking.

• Enforce Strict Access Governance: Apply the principles of Least Privilege and Zero Trust to control who can access data, when, and from where.

• Deploy Data Loss Prevention (DLP) Solutions: Configure and manage DLP tools to monitor, detect, and prevent unauthorized data transfer and exfiltration.

• Respond to Data Breaches: Execute a targeted incident response plan specifically for data compromise scenarios.

• Ensure Compliance with Data Regulations: Navigate the requirements of GDPR, HIPAA, CCPA, and other data protection laws.

This course is essential for professionals whose responsibilities include the protection, management, or governance of sensitive data.

• Data Security Analysts and Specialists

• IT Security Managers and Administrators

• Network and System Administrators

• Compliance and Risk Officers

• Cloud Security Engineers

• Database Administrators (DBAs)

• Anyone involved in designing or implementing data protection strategies

• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a binder containing a copy of the presentation
• slides and handouts
• Post-assessment

Day 1: The Data Security Foundation

• Morning:

  • Module 1: The Value of Data & The Threat Landscape: Understanding why data is targeted. Overview of common data breach vectors (insider threats, phishing, misconfigurations).

  • Module 2: Data Security Principles: Core concepts of Confidentiality, Integrity, and Availability (CIA) as they apply specifically to data.

• Afternoon:

  • Module 3: Data Discovery and Classification: Techniques and tools for finding and categorizing sensitive data (PII, PHI, IP, financial data) across the enterprise.

  • Hands-On Lab 1: Using a Discovery Tool: Participants use tools to scan a simulated network environment to locate and classify sensitive data.

  • Day 1 Recap: Knowing what you have and where it lives.

Day 2: Building the Shield – Encryption & Access Control

• Morning:

  • Module 4: Cryptography Fundamentals: Symmetric vs. Asymmetric encryption, hashing, and digital signatures.

  • Module 5: Implementing Encryption: Data-at-Rest (Disk, Database) and Data-in-Transit (SSL/TLS, VPN) encryption strategies.

• Afternoon:

  • Module 6: Advanced Data Protection: Tokenization and Data Masking techniques for development and testing environments.

  • Hands-On Lab 2: Encrypting a Database & Configuring TLS: Practical exercises in applying encryption to protect data.

  • Day 2 Recap: Rendering data useless to thieves.

Day 3: Monitoring & Preventing Data Loss

• Morning:

  • Module 7: Data Loss Prevention (DLP) Deep Dive: Understanding DLP architectures (Network, Endpoint, Cloud).

  • Module 8: Designing DLP Policies: Creating effective rules to block, quarantine, or alert on sensitive data movement.

• Afternoon:

  • Module 9: Access Governance & Zero Trust for Data: Implementing strict access controls, Multi-Factor Authentication (MFA), and Just-In-Time access.

  • Hands-On Lab 3: Configuring a DLP Policy: Participants create and test DLP rules in a simulated corporate environment to prevent data exfiltration via email and USB.

  • Day 3 Recap: Watching the gates and controlling the keys.

Day 4: Responding to a Data Incident

• Morning:

  • Module 10: Data-Centric Incident Response: Specialized procedures for containing and investigating a suspected data breach.

  • Module 11: Digital Forensics for Data Theft: Techniques for identifying what data was taken, when, and by whom.

• Afternoon:

  • Module 12: Breach Notification and Compliance: Understanding legal requirements for disclosing breaches to regulators and affected individuals.

  • Tabletop Exercise: The Data Breach Simulation: Teams work through a scenario involving a massive data leak, making critical decisions on containment, communication, and eradication.

  • Day 4 Recap: Having a plan for when things go wrong.

Day 5: Strategy, Compliance, and Capstone

• Morning:

  • Module 13: Building a Data Security Program: Developing policies, standards, and procedures. Aligning with frameworks like NIST Privacy Framework and ISO 27001.

  • Module 14: Navigating Global Data Regulations: GDPR, CCPA, HIPAA – key requirements and how technical controls help achieve compliance.

• Afternoon:

  • Capstone Project: The Data Security Audit:

    1. Participants are given a scenario of a company with poor data controls.

    2. They must perform a mock audit: discover data, assess risks, and design a complete “Data Defense Shield” blueprint including policies, technical controls, and monitoring.

  • Presentation & Review: Teams present their blueprints and receive feedback.

  • Course Conclusion: Final Q&A, resources, and awarding of certificates.