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Home - Archives for Irfahn Khimji

Irfahn Khimji

Irfahn Khimji

Irfahn Khimji is a seasoned technology leader with a deep background in cybersecurity and go-to-market strategy. In his current role as Field CTO at BackBox, he leverages his extensive expertise to provide technical leadership and strategic direction. Recently, Irfahn served as Managing Director for Critical Start in Canada. His career progression highlights a strong focus on sales and leadership, including his tenure as Vice President at Tripwire, where he led sales, sales engineering, and channel teams for North America. He also served as the Managing Director for Qualys in Canada, overseeing technical sales, marketing, and services.

Cutting Into Overtime, Not Corners: How Network Automation Drives Business Value

Irfahn KhimjiMarch 13, 20266 Mins Read

“You’re cutting into my overtime. But if I can schedule upgrades to happen overnight and sleep better, I’m in!” This is what a network engineer recently told me as I was discussing network automation. Network infrastructure owners I speak with are looking for ways to maximize the value from their investments. Meanwhile, their teams are looking for relief from repetitive tasks so they can focus on strategic initiatives. Unfortunately, many of the approaches they attempt do not effectively address these challenges. Manual Limitations Historically, keeping devices up to date and reducing risk to the organization has been done manually, one…

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From Artificial to Authentic: Solving the AI Trust Problem

Irfahn KhimjiOctober 21, 20255 Mins Read

Over 75% of organizations participating in McKinsey’s 2025 State of AI survey report using AI in at least one business function. However, concerns about AI-related risks still exist. The most common concern is the risk of inaccuracy or the inability to trust AI outputs. Reviewing AI model outputs is crucial for increasing confidence, allowing you to use AI with confidence. However, the survey reveals there’s a significant variation in practices. At one end of the spectrum, 27% of organizations report reviewing all AI outputs. At the other end, 30% say few outputs are reviewed. What’s interesting about AI is that…

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