This episode is brought to you by the Cloud Wars Expo. This in-person event will be held from June 28th to 30th at the Moscone Center in San Francisco, California.
0:22 — Too often, data scientists and engineers prioritize the security of their AI solutions, applications, and models instead of the sensitive data used to create those models.
1:58 — The training data used to develop and fine-tune AI models is critical, as that data is normally a blended data source.
2:24 — Sensitive internal data could include new product features, customer data, financials, marketing campaign performance metrics, and more. This is the data that needs securing.
3:03 — Avoid making internal data easy to figure out to prevent reverse engineering.