Browsing: Enterprise

Wrapping an LLM in a ReAct loop with a few Python tool definitions works fine in a demo sandbox, but deploying it against enterprise infrastructure turns minor hallucinations into cascading outages, ghost database writes, and silent data corruption. The naive approach to agentic automation assumes perfect deterministic tool execution, treats every API call as inherently…

AI has ushered in a lot of never-happened-before moments, but one of the most transformative is its impact on enterprise IT. Companies that have historically been cautious and committed long-term to what they buy are on pace to spend $4.25 trillion on technology in 2026, market researcher IDC predicts. It’s almost all driven by AI.

As agentic AI moves from experimentation toward enterprise deployment, the challenge is figuring out how agents can work together, connect to the systems and data they need, and operate safely across the workflows that run a business. Although agentic AI has been adopted by some 80% of Fortune 500 companies, progress toward meaningful scale remains…

Enterprises once relied on perimeter-first security because enterprise systems operated like traditional single player games where data, servers and the game application resided in a single device or within one network boundary. This model worked brilliantly when users, workloads, and trusted networks were co-located.

Before joining Sequoia Capital in 2020 as chief digital and information officer, Avon Puri spent over a decade running infrastructure at Rubrik and VMware. Three years ago, as large language models began showing their true potential, Puri, alongside another Sequoia IT leader, Sudheer Dhurjati, recognized that AI could help autonomously solve a major challenge for…