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Secure coding for data scientists

About the webinar

We give an overview of secure coding practices and guidelines. What should we keep in mind while writing code so as to mitigate security concerns. We will mention and explain some of the most common vulnerabilities is code and exemplify from a data science perspective.

Who is the webinar for?

Developers and code producers who work with Python and data science and need to take security risks into account when coding. Beginners in cyber security and secure coding.

Key takeaways for participants:

  • What are common vulnerabilities in code and mistakes or bad practices?
  • How to write safe code in some typical cases.
  • What are some useful resources such as guidelines and standards for secure coding?

Speaker bio:

David Eklund is an AI researcher at RISE working with mathematical modeling as well as privacy and security of AI models. David has a PhD in mathematics from KTH the Royal Institute of Technology. He is one of the training coordinators of the MIMER AI factory.

Abdul Ghafoor is an Application Security Specialist with over a decade of experience in secure application development and vulnerability assessment. He holds a Ph.D. in Application Security from KTH Royal Institute of Technology (Sweden), where his research focused on secure-by-design applications, shift-left security, and the use of AI in cybersecurity.

Event details

Date & Time

3 March 2026
11:00 - 12:00
Format
Online