Insights
Testing AI security products, from the practitioner’s side
Practical notes for founders and product teams: what testing misses, what customers notice first, and how to fix it before they do.
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Where AI security products usually get caught out
Read the article →: Where AI security products usually get caught outAI security products usually get caught out in one of three places: before a pilot, between releases, or at customer sites. Here’s how to tell which one applies to you, and the fix for each.
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Why AI security deployments go quiet after the demo
Read the article →: Why AI security deployments go quiet after the demoA product that shines in the demo can still struggle inside a customer’s environment. Here are the four usual causes, what they cost you, and how forward deployed engineers fix them.
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What a clean test environment won’t show you
Read the article →: What a clean test environment won’t show youMost AI security products are tested in environments far cleaner than any customer’s. That hides the problems customers find on day one. Here’s what a realistic test environment needs.
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What your AI security product’s test results might be missing
Read the article →: What your AI security product’s test results might be missingBenchmarks and automated tests check whether your AI gets an answer. They rarely check whether a real analyst would trust it. Here are four ways products get caught out, and how to find them before a customer does.
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