Part 4: AI in Action at BackBox
In our third installment in Part 4 of our 5-part series on AI in networks, BackBox VP of Infrastructure and Technology Richard Phillips emphasizes the importance of normalization and prioritization.
Data from various trusted sources comes in different formats and is often inconsistent. To make aggregated data actionable, it needs to be normalized into a common format. Using AI to handle this saves users time and effort on tedious tasks. AI also assists with prioritization based on data specific to your devices and environment, allowing teams to focus on what matters most.
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:
Related content
Article
How Does BackBox Unify Vulnerability Data?
See how AI helps unify vulnerability data, normalize CVE intelligence, and improve remediation prioritization so NetOps teams can reduce risk and act faster.
Read Now
Article
How Does BackBox Use AI Meaningfully?
Discover how BackBox uses AI to normalize data, enrich insights, and deliver smarter automation for faster, more resilient network operations.
Read Now
Article
How BackBox Validates Vulnerability Data That’s Relevant to You
BackBox maps CVEs from NVD and CISA KEV to your device inventory, prioritizing and automating remediation to reduce risk from unpatched network devices.
Read Now
See for yourself how consistent and reliable your device backups and upgrades can be
Written by
Stephanie Stouck