Top 5 Security Mistakes in Data Modeling—Are You Guilty?

Featuring Karen Lopez, Data Evangelist & Architect

Your data model might be your biggest risk

Most security vulnerabilities start at the architecture level—but they’re often overlooked during modeling. In this engaging and fast-paced session, data expert Karen Lopez breaks down the top 5 security mistakes she sees again and again in data modeling projects—plus a few bonus pitfalls that even seasoned professionals miss.

From misused metadata to missing classifications and weak naming conventions, this session is packed with practical guidance to help you close the gap between intention and implementation.

Watch to learn:

• Where common security gaps originate in your data model
• How to model for secure data flows, formats, and lifecycles
• Why naming, inventorying, and classifying data is critical
• How to align your model with what’s actually deployed

Whether you manage modeling, architecture, or governance, this is a can’t-miss session.
Security starts with your model. Are you doing your part?

Have Questions?

Have questions or want to explore how ER/Studio can support secure modeling? Talk to our experts.