Nik Kale
Nik Kale
Building Intelligent Systems That Operate Themselves Securely
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Nik Kale

AI in Production

The Brilliant Intern Who Hallucinated: What Happened When We Plugged an LLM Into Support Data
AI in Production

The Brilliant Intern Who Hallucinated: What Happened When We Plugged an LLM Into Support Data

If you’re deploying LLMs against structured enterprise data, start with the data model. Map the relationships first. Then design retrieval that preserves those relationships.
56% More AI Security Incidents - And We're Still Calling This 'Early Days'
Trustworthy AI

56% More AI Security Incidents - And We're Still Calling This 'Early Days'

AI security incidents rose 56% in a year, and the industry response was to call it growing pains. At some point, the "early days" framing becomes a way to avoid accountability. The incidents aren't anomalies. They're the system working as designed.
ChatGPT Enterprise Solved the Compliance Problem, But Created the Architecture Problem Nobody’s Talking About
Enterprise Security

ChatGPT Enterprise Solved the Compliance Problem, But Created the Architecture Problem Nobody’s Talking About

OpenAI's enterprise tier addressed data privacy concerns with encryption and access controls. What it didn't address is the harder question: how AI integrates into existing enterprise architecture without creating a parallel decision-making system.
OWASP’s First LLM Top 10: The Vulnerability List That Predicted Everything We Got Wrong
Trustworthy AI

OWASP’s First LLM Top 10: The Vulnerability List That Predicted Everything We Got Wrong

OWASP published its first LLM vulnerability taxonomy, and the entries read like a roadmap of every incident that followed. Prompt injection, training data poisoning, insecure output handling. The threats were cataloged. The industry just wasn't ready to listen.
Samsung’s $50 Billion Lesson: Why Banning ChatGPT Is the Wrong Response to the Right Problem
AI Governance

Samsung’s $50 Billion Lesson: Why Banning ChatGPT Is the Wrong Response to the Right Problem

Samsung banned ChatGPT after engineers leaked semiconductor data. The instinct to prohibit is understandable but architecturally naive. The real problem isn't the tool. It's the absence of governance infrastructure that makes safe adoption possible.
We Launched a Feature That Couldn’t Be Closed (And What Reddit Taught Us About QA)
AI in Production

We Launched a Feature That Couldn’t Be Closed (And What Reddit Taught Us About QA)

If you’re building in-product experiences, overlays, guided workflows, contextual help, test the dismissal paths as rigorously as you test the happy paths. The feature that works perfectly but can’t be dismissed is worse than no feature at all.