What’s Fundamentally Changed in Network Operations and Cybersecurity?

Part 1: Setting the Stage

Artificial Intelligence (AI) presents both challenges and advantages for businesses, as hackers exploit vulnerabilities faster than ever. At the same time, AI strengthens network cyber resilience by improving response times, resource use, reducing alert fatigue, and allowing for more focused remediation.

The fast rise of AI has sparked excitement and worries about privacy, transparency, and ethics. In our 5-part series, we'll answer common questions about AI's effect on networks.

First, let's set the stage. Here, BackBox CEO Rekha Shenoy discusses the shift in network operations and cybersecurity, emphasizing that AI has moved from experimental to a core part of IT. We are still examining its implications, which range from increased efficiency to potentially reduced headcount. This change is very important.

For more details, watch the video below:

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

• What does AI's dual role look like in real environments?
• How has AI changed vulnerability timelines for attackers?
• Where does AI genuinely help defenders today?

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

Explore how AI is reshaping network operations and cyber resilience.