Introduction to Privacy Engineering

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Introduction to Privacy Engineering

Information Security Data Protection and Privacy

What problem does this training solve?

This training addresses the growing need for professionals with expertise in privacy engineering 🔐, as organizations increasingly face challenges in managing and protecting sensitive data 📂 in compliance with ever-evolving data protection regulations 📜. By providing a comprehensive understanding of privacy engineering principles, methodologies, and practical applications 📚, the training empowers participants to effectively implement privacy-focused solutions within their organizations 🏢. This, in turn, helps minimize the risk of data breaches 🔓, non-compliance penalties ⚖️, and reputational damage 📉 while fostering a culture of privacy and trust 🤝 among customers and stakeholders.

What's the target audience of the training?

  • IT professionals seeking to expand their knowledge of security engineering principles and methodologies.
  • Software developers and engineers interested in incorporating security best practices into their development processes.
  • Information security analysts and consultants looking to enhance their expertise in addressing cyber threats and vulnerabilities.
  • System and network administrators responsible for managing and securing organizational infrastructure.
  • Compliance officers and legal professionals seeking to better understand the technical aspects of security engineering to ensure adherence to regulations.
  • Project managers and team leads overseeing projects with a focus on security and data protection.
  • CIOs, CISOs, and IT managers looking to implement or improve security engineering practices within their organizations.
  • Any individual interested in pursuing a career in security engineering or enhancing their knowledge of cybersecurity best practices.

Agenda

  • 🔑 Introduction to Privacy Engineering and its importance
  • 📜 Overview of data protection regulations (e.g., GDPR, CCPA)
  • 🛠️ Privacy Engineering principles and methodologies
  • 🔏 Privacy by Design and Privacy by Default concepts
  • 💻 Integrating Privacy Engineering into software development life cycle (SDLC)
  • 🎯 Risk management and privacy impact assessments
  • 🔍 Privacy enhancing technologies (PETs) and their applications
  • 🌐 Case studies: Real-world examples of Privacy Engineering
  • 🏢 Best practices for implementing Privacy Engineering in organizations
  • 💬 Q&A and wrap-up session

Details

Available as on-line course
This training is available as live on-line course
Available as Video on Demand
30 lipca 2019 22:36
Target groups
Programmers
Price
-

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