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The emergence of AI-powered software engineering tools such as OpenAI Codex and Anthropic Claude Code has fundamentally changed how organizations develop applications. Firms with previously no development capabilities are now able to create applications. These tools enable “vibe coding,” a development approach where users describe desired functionality in natural language and AI generates significant portions of software with minimal human intervention.


While these capabilities can accelerate innovation, reduce development costs, and enable rapid prototyping, they also introduce unique security, governance, and operational risks. Drawbridge has observed more investment firms are adopting these tools aimed at increasing their research, marketing and operational workflows. However, organizations adopting AI-assisted development must establish appropriate controls before allowing AI-generated applications into production environments.


Management teams should view AI coding assistants as force multipliers rather than replacements for established software engineering practices. The same controls that govern traditional software development remain necessary, but they must be adapted to address new risks, including:


• Introduction of insecure code patterns
• Supply chain vulnerabilities through generated dependencies
• Lack of code provenance and accountability
• Overreliance on AI-generated logic without adequate validation
• Unauthorized access to source code and sensitive data
• Development by personnel without formal software engineering training


The organizations achieving the greatest benefit from AI-assisted development are those that combine emerging AI capabilities with mature Secure Software Development Lifecycle (SSDLC) practices.


Developing a Secure Software Development Process for AI-Assisted Coding


Organizations should establish an AI-enabled SSDLC that incorporates security controls from ideation through deployment. These controls should include governance, development controls, security testing and release management!


Adopting Practices from Existing SDLC Frameworks


Rather than creating entirely new governance models, security leaders should leverage existing industry frameworks such as NIST Secure Software Development Framework (SSDF), OWASP Software Assurance Framework, or Microsoft Secure Development Lifecycle.


Skills Management and Vetting from a Security Perspective


One of the largest risks associated with vibe coding is the illusion of expertise. Organizations frequently empower business users and non-traditional developers to create trusted applications. While this increases productivity, it can also bypass established engineering competencies, such as peer reviews, security testing, and open-source vetting.


Risks of Moving Vibe-Coded Applications into Production


Organizations should recognize that applications created primarily through AI-generated code often carry elevated risk profiles. These risks include:


• Hidden vulnerabilities AI-generated code may contain: Injection vulnerabilities, broken authentication controls, excessive permissions, insecure cryptographic implementations.


• Lack of Architecture Discipline Many vibe-coded applications are: Built without threat models, missing security requirements, poorly documented, difficult to maintain.


• Dependency Sprawl AI tools frequently recommend: Excessive packages, unnecessary frameworks, poorly maintained open-source libraries.


AI-assisted development platforms such as Claude Code and Codex can dramatically improve software delivery velocity, but organizations that deploy vibe-coded applications without mature security controls risk accumulating technical debt, introducing exploitable vulnerabilities, and increasing regulatory exposure. The most successful adopters will integrate AI alongside existing secure industry development practices rather than treating AI-generated software as inherently trustworthy. Drawbridge’s AI Advisory Services can help build your AI governance programs, while allowing your teams to accelerate AI adoption securely.

Please reach out to your Relationship Manager to see how Drawbridge can help raise your guard.

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