Case Study
AI Governance & Vibe Coding Controls
CIO/CTO and internal power users vibe-coding apps
without governance controls
01
The Situation
An enterprise organization faced a growing challenge: the CIO, CTO, and internal power users were vibe-coding applications using AI tools like Claude and ChatGPT to rapidly build solutions. While this accelerated development and solved immediate business needs, it created serious organizational risks:
- No governance framework around AI-generated code
- Security vulnerabilities in production (publicly exposed API keys, inadequate authentication)
- Compliance gaps threatening audit readiness
- Policy violations with developers bypassing established SDLC processes
- CISO concerns about uncontrolled code deployment
02
The Core Problem
The Chief Information Security Officer and Chief Compliance Officer needed to establish controls and policies without killing innovation. The CIO and CTO wanted to maintain development velocity. The organization needed both security and speed.
03
The Approach
Hoyack implemented a pragmatic AI governance framework that balanced security with speed:
Assessment & Gap Analysis
- Conducted AI governance scorecard evaluation
- Mapped existing vibe-coded applications and shadow IT
- Identified SDLC policy gaps and compliance risks
Framework Design
- Created organization-specific governance policies for AI-assisted development
- Established quality gates for vibe-coded applications
- Defined security review checkpoints without blocking innovation
Implementation Support
- Deployed automated security scanning for AI-generated code
- Built compliance reporting dashboard for CISO visibility
- Trained development teams on secure vibe coding practices

The CISO gained the controls and policies needed for compliance. The CIO and CTO maintained development velocity. The organization reduced risk while keeping innovation moving.
04
The Outcome
The organization now has:
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Coding Governance Challenges?
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