How Does BackBox Use AI Meaningfully?

Part 4: AI in Action at BackBox

Thank you for joining us on our journey as BackBox experts address common questions about AI adoption for network infrastructure. In Part 4 of our 5-part series, BackBox, VP of Infrastructure and Technology Richard Phillips takes a closer look at AI in action. Here, he discusses three main ways that BackBox uses AI to deliver meaningful value to customers.

Consolidating and normalizing data is time consuming and difficult for NetOps teams to manage. AI quickly sorts through thousands of variations in formats and inconsistencies. We also use AI to enrich data with guidance and generate recommendations on actions to take and the reason behind them. Finally, by leveraging probabilistic automation, our extensive library of pre-built automations further refines recommendations based on customer context.

For more details, watch the video below:

For more information 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:

• How does BackBox unify vulnerability data?
• Why does normalization and prioritization matter?
• What problem does CVE Workaround Insights solve?
• How do CVE Workaround Insights balance speed and safety?