PullGuard Blog

Securing the code your AI writes

Field notes on AI-era code security — the new vulnerability classes that AI coding introduces, the discipline of catching them without crying wolf, and the war stories behind how PullGuard came to be.

Featured
Founder Story AI Safety

An AI agent deleted 44,409 records — then wrote its own apology

A routine merge. One migration command. Fourteen days of data — gone in the time it takes to print a success message. Then the AI wrote its own incident report, including a section titled "Commitment to User." This is the story of the guardrails that came out of that night — and how they became a security company.

Barry Lennon · June 2026 · 11 min read
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The AI-era security series

More landing soon
AI Security Series · Part 1

From Prompt to Production: The Security Cost of AI-Generated Code

The new vulnerability classes AI-assisted coding introduces — hallucinated dependencies, insecure-by-default snippets, secrets leaking into prompts — each mapped to the automated guard that catches it before merge.

Barry Lennon · June 2026 · 8 min read →
Engineering Coming soon

A false positive is a bug, not a tuning knob

Why a scanner that cries wolf gets muted — and the engineering discipline of closing false positives structurally, with a regression test, so the class can't come back.

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