Insights

AI is changing how infrastructure is built, operated, and secured. As organizations run both AI and traditional workloads across multi-cloud environments, control, ownership, and accountability are becoming harder to maintain yet more critical than ever. In this conversation, InviGrid CEO Yogita Parulekar shares how leaders should think about agentic AI, governance, and the operating realities shaping modern infrastructure. How do teams lose control over access, ownership, or

This is a developing story. Watch this blog for advances to this tech when new breakthroughs, partnerships are announced so you can stay on top of how to adapt your internal company policies and practices.  Agentic AI is advancing at breakneck speed, with daily breakthroughs reshaping what’s possible. One recent one being Clawdbot, or OpenClaw. Clawdbot is like a guest who might overstay their welcome. You can invite it even if you know it, but it might not always do what you

2025 will be remembered as the year security failures stopped being “incidents” and started becoming board-level crises. Industries, large enterprises, and fast-scaling companies alike suffered breaches that resulted in billions of dollars in direct losses, reputational damage, market-value destruction, regulatory fines, and weeks of operational paralysis. This exposed how fragile modern cloud and AI infrastructure really is when governance does not keep pace with automati

Imagine starting a new job as an IT administrator, tasked with inventorying and tracking your company’s AI assets. You diligently review documentation, speak with engineers, and compile what appears to be a complete inventory. On presentation day, however, you notice something odd: unknown AI API calls have occurred, and the cost dashboard shows numbers that don’t align with your report. Clearly, there is more going on than what meets the eye. This lack of visibility into exi

InviGrid was built on a simple belief: cloud governance is broader than security, and without full visibility, even mature cloud environments can hide meaningful risk and waste. That belief was validated when a global, multi-billion-dollar technology company used InviGrid Intelligent Cloud to examine its multi-cloud environment and uncovered $1.2 million in cloud cost savings despite going in with the expectation that there would be very little left to find.

Artificial intelligence-enhancement of operations, services and data products is the prime topic in corporate strategy sessions, yet the results are sobering. Studies from MIT and Stanford show that a clear majority of AI initiatives implemented over the last six to 12 months are failing to deliver value or working on the wrong problem.