How can sysadmins help software developers work securely and make more secure applications? While at NDC in Toronto, Richard sat down with Tanya Janca of SheCodesPurple to discuss what admins can do to help address the security challenges software developers face. Tanya talks about securing development environment and pipelines - developers routinely work from high privilege accounts because their tools require it, and as a result, have become the targets of black hats to get access to accounts, keys, and other exploitable resources. There are plenty of tools available to help work through the issues, including the latest AI-powered tools. LLMs can also help generate more secure code in the first place, and Tanya has created a set of prompts you can use to create more secure software. The threat landscape is shifting with these tools, and we need to act quickly to resist the new attacks!

Links

• SheHacksPurple
• Canadian Guidance on Resisting Supply Chain Attacks
• OWASP Top 10 Security Risks for 2025
• Prompts for Generating Secure Code

Recorded May 8, 2026

What can go wrong with machine learning? While at NDC in Toronto, Richard chatted with Megan Robertson about her experience with machine learning projects, often using retail datasets, and where they can go wrong. Megan talks about getting clear expectations and metrics for projects, so you know when you succeed, but then digs into the specifics of problems in machine learning, such as overfitting on test data. Your results are only as good as the data you put in, so a lot of focus goes into building good sets, carefully developing the model with those sets, and using techniques like cross-validation to ensure the model is behaving appropriately. There's a lot that can go wrong, but the results with an effective model can be very powerful - it is worth the effort!

Links

• Cross Validate Model
• Megan's Website

Recorded May 7, 2026