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The Compliance Guide to AI-Written Code

What engineering leaders need in place for SOC 2, ISO 27001, and the EU AI Act.

At leading companies, up to 75% of new code is now AI-generated. Yet across the industry, only 18% of organisations have policies governing the tools producing it.

AI coding adoption is moving roughly three times faster than the policies and controls needed to govern it. As agent output grows, informal review processes will not scale.

This practical guide explains how to govern machine-written code at agent-level volume without slowing development down.

Download the whitepaper to see what a workable policy looks like, which controls matter, and how to make the compliance case under SOC 2, ISO 27001, and the EU AI Act.

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The Compliance Guide to AI-Written Code whitepaper
"In conventional IaC workflows, AI systems require access to environment variables and infrastructure configuration to diagnose issues, which creates compliance challenges under data protection law. With Encore's code-first approach, infrastructure is managed independently, so the AI can assist effectively without accessing sensitive configuration or regulated data."

Leonardo Marciano, CTO & Founder, AI and Cybersecurity

Table of Contents

Eight chapters, from where the governance gap came from to what to do in the first quarter.

Get Your Copy
1
The Governance Gap
2
What AI-Generated Code Does in Production
3
The Secrets Problem
4
How Much Autonomy Should Agents Have?
5
Writing the Policy
6
SOC 2, ISO 27001, and the EU AI Act
7
Governance by Construction
8
Getting Started

Ready to govern AI-written code?

Download the whitepaper and see what to put in place before the EU AI Act becomes fully applicable on August 2, 2026.

Get the WhitepaperBook a Demo