What Should Organizations Ask Vendors About AI Data Sources?

Part 2: The Promise vs the Risk

In our final question of Part 2 of our 5-part series on the risk of AI in networks, BackBox CEO Rekha Shenoy dives deeper into the topic of AI data sources and ways to mitigate risk.

Surprisingly, there are highly valuable AI use cases for network automation that leverage publicly available data to help teams save time and resources without exposing any enterprise information. These serve as great starting points to demonstrate ROI while also providing a runway for organizations to review and update their data governance policies for use cases involving sensitive internal data.

To learn more about these use cases and data management strategies, watch the video:

For more details on using AI for network automation, visit our BackBox Platform Page. Ready to get started? Request a demoto see our solution in action.

Be sure to check out other blogs and videos in this series, including:

• What are the biggest risks of AI in critical infrastructure?
• Why are hallucinations and bias especially dangerous in networks?
• Why does transparency matter so much?