Karthik Karunanithi
- Indexed articles, last 90 days
- 4
- Latest publication
- Sep 18, 2026
- Outlet visibility, for InfoWorld
- Top 500K sites
- Earliest in this view
- Jul 24, 2026
Latest articles
Your AI agents are isolated. Your infrastructure isn't (opens the original)
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The detail that caught my attention in the OpenAI-Hugging Face investigation was the package cache. Roughly 1,200 AI agents that were supposed to be isolated from one another found a way to communicate through it. Around the same time, Anthropic disclosed an incident in which a single agent reached the real internet but continued describing its surroundings as a simulation. These were different failures. But reading the investigations together, I kept returning to the gap between the environment
4 standards solve agent identity. None solves the harder question: Is it still the agent you approved? (opens the original)
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I’ve stopped being surprised by the service account nobody can explain. It was created for a migration that finished years ago. It still holds credentials. Whoever requested it left before anyone wrote down why. And it passes every access review, because the review asks whether the account is valid. It is. That’s what I keep thinking about now that agent identity standards are arriving in production. Four landed within a few months. Microsoft’s Entra Agent ID went generally available. The Linux
MCP didn't remove sessions. It handed them to the model (opens the original)
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A few years ago, I helped move an application off sticky sessions so we could scale behind an ordinary round-robin load-balancer. On paper it was an infrastructure change. Every service was supposed to be stateless, so removing session affinity should have changed nothing. Nothing crashed. CPU looked normal. Every health check stayed green. But users started reporting workflows that would randomly jump backwards. One request would pick up exactly where the previous one left off. The next would b
The Microsoft agent framework wars are over. The real architecture decision starts now (opens the original)
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Over the past year, I had the same conversation with almost every team starting an AI initiative. Should we build on Semantic Kernel, AutoGen or Foundry? At first it felt like the most important architectural decision we’d make. Each framework had its own philosophy, each promised to be the foundation for enterprise AI, and picking the wrong one felt like an expensive mistake. I spent a lot of time helping teams weigh the trade-offs. Looking back, I think we were asking the wrong question. I cer
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