Originally published in VMblog.com on November 24, 2025
BackBox CEO Rekha Shenoy joined other industry executives and experts to share their predictions for 2026 in VMblog’s 18th annual 2026 Modern Data Center Technology Prediction Series.
Here she discusses how AI has transformed from an experimental technology into a vital force driving change across all sectors of IT. Looking ahead, AI will act as an advisory layer in network automation, supporting, rather than replacing, human expertise.
Four priorities will define trustworthy AI development:
- AI must prioritize protecting users and their infrastructure.
- Models should produce repeatable, verifiable results that improve over time.
- Automation should support, not replace, skilled engineers.
- Vendors must clearly explain how their AI generates insights, what data it uses, and how outputs are validated.
Read the full article. For more details on using AI for network automation, visit our Network Automation Solution page. Ready to get started? Request a demo to see our solution in action.
Related content
Article
The Network Config Automation Checklist Every NetOps Team Should Use
Network config automation only works if it covers every device. Use this checklist to find coverage gaps before they cause an outage.
Read Now
Article
Securing Network Automation: Integrating Kilter by BackBox with CyberArk
Kilter integrates with CyberArk to retrieve network device credentials at runtime, so nothing is stored in scripts or on the platform. See how it works.
Read Now
Article
Network Configuration Automation Mistakes That Are Putting Your Network at Risk
Network configuration automation can create a false sense of security. Learn the 6 most common mistakes that put your network at risk and how to avoid them.
Read Now
See for yourself how consistent and reliable your device backups and upgrades can be
Written by
Stephanie Stouck