Part 5: Looking Ahead This is the fourth and final installment in Part 5 of our 5-part series on the use of AI in networks. Here, BackBox Field CTO Irfahn Khimji explains the three key components of a mindset that promotes AI success. Trust: Use cases should be based on verifiable output and align with […]
Part 5: Looking Ahead This is the third installment in Part 5 of our 5-part series, where BackBox Field CTO Irfahn Khimji discusses a world where AI simplifies life, and we wonder how we managed before. Attorneys have paralegals. NetOps teams will have AI agents that are also quick at analyzing data, providing recommendations with
Part 5: Looking Ahead This is the second installment in Part 5 in our 5-part series, where BackBox Field CTO Irfahn Khimji talks about the dangers of unverified AI outputs and what’s needed to use them effectively. When users can’t understand what data AI is using and the reason for the recommendation, they can’t trust
Part 5: Looking Ahead Thank you for joining us on our journey as we explore AI’s impact on networks, where BackBox experts answer common AI adoption questions for network infrastructure. In Part 5, we look ahead to what we believe is coming for AI. To kick off Part 5, BackBox Field CTO Irfahn Khimji discusses
Part 4: AI in Action at BackBox In our fifth and final installment in Part 4 of our 5-part series on AI in networks, BackBox VP Infrastructure and Technology Richard Phillips explains how CVE Workaround Insights balances speed and safety. Vulnerabilities don’t always pose a security risk. There’s a spectrum — from high-severity vulnerabilities in
Part 4: AI in Action at BackBox This is the fourth installment in Part 4 of our 5-part series on AI in networks, where BackBox VP of Infrastructure and Technology Richard Phillips discusses the issue that CVE Workaround Insights addresses. CVE data is notoriously inconsistent and incomplete. If a patch or upgrade isn’t available or
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,
Part 4: AI in Action at BackBox This is the second installment in Part 4 in our 5-part series on AI in networks. Here, BackBox VP of Infrastructure and Technology Richard Phillips explores the challenge of unifying vulnerability data and how AI assists. Even the most well-resourced NetOps teams face difficulties gathering vulnerability data from
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
Part 3: What Responsible AI Should Look Like This brings us to our final question in our 5-part series about AI’s impact on networks: what should responsible AI look like? Achieving a balance between automation and AI with human expertise necessitates a human-in-the-loop approach. In this model, automation handles high-volume, repetitive tasks, while human judgment