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See Everything (Because Black Boxes Don’t Get Approved)
This is Part 5. Start here if you’re new to the series. In Part 4, we covered model flexibility, Task Personas, and practical RAG. But none of that matters if your security team won’t approve deployment. And they won’t approve what they can’t inspect. The Black Box Problem When companies fail with AI, it’s often…
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Clawdbot (Moltbot) Went Viral. So Did Its Security Holes.
Clawdbot (now rebranded as Moltbot) exploded onto the scene over the past week. 60,000+ GitHub stars. Viral X threads. Discord communities buzzing. The promise is intoxicating: a personal AI assistant that lives in your messaging apps, remembers everything, and executes tasks autonomously. Then the security reports started rolling in. Within days, researchers found hundreds of…
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Chiri Brain: Any Model. One Interface. No Lock-in.
This is Part 4 of our series on Chiri Brain capabilities. Read Parts 1-3 to catch up. We’ve established why AI projects fail and what infrastructure looks like when governance is built-in. Now let’s talk about what that gets you. Any Model. One Interface. No Lock-in. The reality six months later: You’ve built workflows around…
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The Chiri Standard: Trusted AI at Scale
This is Part 3 of our series on enterprise AI infrastructure. Read Part 1 and Part 2 if you’re catching up. In Parts 1 and 2, we established the problem: MIT reports 95% of AI pilots fail, S&P Global shows 42% of companies abandoned initiatives in 2025, and McKinsey found only 6% achieve high performance,…
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Claude Cowork Is Having a Moment. Your Attack Surface Is Too.
Anthropic just shipped Claude Cowork as a research preview – a “Claude Code-like” experience for general productivity work, delivered through the Claude macOS app and aimed at making Claude feel less like a chatbot and more like a real coworker. That framing is…accurate. And it’s the security problem. When an AI crosses the line from…
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The Actual Problem Isn’t “AI.” It’s Everything Around AI.
This is Part 2 of our series on why enterprise AI fails. Read Part 1 if you missed it. Enterprise teams aren’t blocked by model quality anymore. GPT-4, Claude Sonnet 4, Gemini Pro – pick your favorite, they’re all remarkably capable. The problem is that having a powerful engine doesn’t matter if you can’t get…
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Where AI Rollouts Go to Die: The Two Places Enterprise AI Fails
The Numbers Don’t Lie MIT’s 2025 State of AI in Business report dropped a statistic that should terrify every executive: 95% of generative AI pilots fail to deliver measurable impact on the P&L. Read that again. Ninety-five percent. S&P Global Market Intelligence makes it worse: 42% of companies abandoned most of their AI initiatives in…
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Stop Choosing Between Innovation and Governance: Meet Chiri Brain
Most AI rollouts die in one of two places: If you’re feeling that tension right now, you’re not alone. The modern enterprise AI stack is full of tradeoffs that look inevitable until you decide they aren’t. Chiri Brain is built on a simple idea: You shouldn’t have to choose between AI velocity and enterprise governance.…
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Low Hanging Fruit: Start With Coding Agents. Lessons From Snowflake’s AI Pivot
There are not many chances to see a big, successful company try to rewire itself around AI in public. One recent example is Snowflake. On a recent episode of the No Priors podcast, “Meet Snowflake Intelligence: A Personalized Enterprise Intelligence Agent,” Sarah Guo interviews Snowflake CEO Sridhar Ramaswamy about his first 18 months in the…
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Output Over Everything — A CISO’s Field Guide to Change, Testing, and Rollback
Speed without recoverability is theater. My job is to make sure we can ship fast and back out of a bad change at machine speed, any day the cloud blinks. Let me ground this in a fresh scar everyone felt on a typical Wednesday. On October 29, 2025, one configuration push to Azure Front Door…
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