Welcome to the workshop!
Welcome to the Module 9 Wrap-Up Workshop!
In this final session, we’ll recap our journey through ML security, data governance, and risk management, and look ahead to your next steps in the fellowship.

Icebreaker: Secure or Risky?
Which of these actions supports data security? Type: S (Secure),R (Risky)
- Encrypting sensitive fields
- Sharing raw data in Slack
- Auditing access logs regularly
- Reusing credentials across projects
Today's agenda
- Key takeaways: Recap of Module 9.
- Impact opportunities: Finding ways to apply these skills.
- Project check-in: Milestone requirements.
- Module closeout: Q&A and next steps.
- Module 10 preview: What's coming next.
Key Takeaways
- Robust Security: Protecting sensitive assets maintains stakeholder trust.
- Data Governance: Alignment with ethical standards reduces legal risks.
- Proactive Risk Management: Identifying concerns before they escalate preserves reputation.