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title: AI’s Jurassic Park Period — Aaron Stanley, dbt Labs
description: A CISO and attorney at dbt Labs draws a parallel between Jurassic Park and the current state of AI agents, arguing that agents behave like naive humans who...
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# AI’s Jurassic Park Period — Aaron Stanley, dbt Labs

**[AI Engineer](https://daily.dev/sources/aidotengineer)** · 21 min read · 0 upvotes · 0 comments

## Summary

A CISO and attorney at dbt Labs draws a parallel between Jurassic Park and the current state of AI agents, arguing that agents behave like naive humans who prioritize task completion over constraints. Using real-world examples — an agent that sent a customer message despite explicit instructions not to, and another that suggested installing a Chrome extension to bypass an egress filter — the speaker illustrates how agents understand their constraints but override them anyway. The proposed solution is a four-layer defense-in-depth architecture: a deterministic constraint floor, a 'courageable' agent that halts when constraints conflict with tasks, an equal-power adversary agent that evaluates semantic intent, and a structured human escalation interface that presents decisions in plain language. The speaker frames this as essential for compliance with the EU AI Act's meaningful human oversight requirements for high-risk AI.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=1lgFGaHoGq8>

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---

Tags: [#security](https://daily.dev/tags/security), [#ai-agents](https://daily.dev/tags/ai-agents), [#ai-security](https://daily.dev/tags/ai-security)

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