PALS Parlor Podcast

Pivoting to Privacy Engineering with Precision

March 26, 2024 Amaka Ibeji Season 1 Episode 5
Pivoting to Privacy Engineering with Precision
PALS Parlor Podcast
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PALS Parlor Podcast
Pivoting to Privacy Engineering with Precision
Mar 26, 2024 Season 1 Episode 5
Amaka Ibeji

Welcome to another insightful episode of PALS Parlor Podcast with your host, Amaka Ibeji, a Privacy Engineer. Today, we delve into the significant shift from cybersecurity to privacy engineering, a transformation that transcends mere career changes to embody a revolution in mindset.

Key Takeaways:

Tip 1: Differentiating Security and Privacy:

  • Security safeguards systems and data from unauthorized access, while Privacy governs the collection, use, and sharing of personal information.
  • Data Privacy empowers individuals to exercise their rights, crucial for trust and compliance in our data-driven world.

Tip 2: Privacy By Design Principles:

  • Embedding privacy considerations into every product development stage is key.
  • The seven principles of Privacy By Design ensure proactive protection of user data.

Tip 3: Leveraging Security Foundation:

  • Transitioning from cybersecurity to privacy engineering benefits from a shared goal of data protection.
  • Organizations can have security without privacy but not vice versa

Tip 4: Mastering Privacy Threat Modeling:

  • Frameworks like LINDDUN and Plot4AI aid in identifying and mitigating privacy risks.
  • Episode two of the podcast offers a practical guide on Privacy Threat Modeling.

 Tip 5: Adopting System Thinking:

  • A systemic approach is essential for addressing complex privacy challenges.
  • Understanding how data flows through interconnected systems is crucial.

Tip 6: Exploring Privacy-Enhancing Technologies (PETs):

  • Technologies like homomorphic encryption and differential privacy balance data utility with protection.
  • The PET market is rapidly growing, indicating the future of data privacy.

Tip 7: Understanding Data Subject Rights:

  • Respecting individual privacy and complying with regulations necessitate understanding and upholding data subject rights.

Tip 8: Collaborating with Privacy Lawyers:

  • Privacy lawyers provide valuable insights into navigating privacy nuances across jurisdictions.

Tip 9: Certifications:

  • Certifications like IAPP CIPT, CIPP, or ISACA CDPSE demonstrate dedication and expertise in privacy engineering.

Tip 10: Embracing Continuous Learning:

  • Committing to ongoing learning is crucial in staying abreast of developments in the dynamic field of privacy engineering.

Conclusion:

Transitioning to privacy engineering is not just a career move but a journey towards upholding individual privacy rights in the digital age. 

Let's be Pals, follow Amaka Ibeji - I write about Privacy Engineering, AI Governance, Leadership and Security.

 Until the next episode, continue exploring and embracing the world of privacy engineering with precision!

Show Notes

Welcome to another insightful episode of PALS Parlor Podcast with your host, Amaka Ibeji, a Privacy Engineer. Today, we delve into the significant shift from cybersecurity to privacy engineering, a transformation that transcends mere career changes to embody a revolution in mindset.

Key Takeaways:

Tip 1: Differentiating Security and Privacy:

  • Security safeguards systems and data from unauthorized access, while Privacy governs the collection, use, and sharing of personal information.
  • Data Privacy empowers individuals to exercise their rights, crucial for trust and compliance in our data-driven world.

Tip 2: Privacy By Design Principles:

  • Embedding privacy considerations into every product development stage is key.
  • The seven principles of Privacy By Design ensure proactive protection of user data.

Tip 3: Leveraging Security Foundation:

  • Transitioning from cybersecurity to privacy engineering benefits from a shared goal of data protection.
  • Organizations can have security without privacy but not vice versa

Tip 4: Mastering Privacy Threat Modeling:

  • Frameworks like LINDDUN and Plot4AI aid in identifying and mitigating privacy risks.
  • Episode two of the podcast offers a practical guide on Privacy Threat Modeling.

 Tip 5: Adopting System Thinking:

  • A systemic approach is essential for addressing complex privacy challenges.
  • Understanding how data flows through interconnected systems is crucial.

Tip 6: Exploring Privacy-Enhancing Technologies (PETs):

  • Technologies like homomorphic encryption and differential privacy balance data utility with protection.
  • The PET market is rapidly growing, indicating the future of data privacy.

Tip 7: Understanding Data Subject Rights:

  • Respecting individual privacy and complying with regulations necessitate understanding and upholding data subject rights.

Tip 8: Collaborating with Privacy Lawyers:

  • Privacy lawyers provide valuable insights into navigating privacy nuances across jurisdictions.

Tip 9: Certifications:

  • Certifications like IAPP CIPT, CIPP, or ISACA CDPSE demonstrate dedication and expertise in privacy engineering.

Tip 10: Embracing Continuous Learning:

  • Committing to ongoing learning is crucial in staying abreast of developments in the dynamic field of privacy engineering.

Conclusion:

Transitioning to privacy engineering is not just a career move but a journey towards upholding individual privacy rights in the digital age. 

Let's be Pals, follow Amaka Ibeji - I write about Privacy Engineering, AI Governance, Leadership and Security.

 Until the next episode, continue exploring and embracing the world of privacy engineering with precision!