NO LONGER AN EXPERIMENT
AI-assisted development is becoming standard practice.
Google’s CEO reported that 25% of the company’s code was being generated by AI—a powerful signal of how quickly software development is changing.
The promise is compelling: faster output, shorter development cycles and greater capacity for innovation. But more machine-generated code also increases the need to understand quality, security, dependencies and compliance.
25%
A SIGNAL FROM GOOGLE
Code generated by AI
The scale of adoption changes AI coding from a developer-tool conversation into a business-governance priority.
THE SURGE IN AI-GENERATED CODE
From helpful snippets to autonomous delivery.
Tools such as ChatGPT and Claude help developers produce code faster, while AI agents can increasingly complete complex tasks or build entire applications. For leaders, this creates a double-edged opportunity: accelerated innovation alongside new forms of risk.
01
Generate
Produce snippets and routine code more quickly.
02
Complete
Handle larger development tasks with less intervention.
03
Build
Create complete applications from natural-language instructions.
WHY OVERSIGHT MATTERS
Speed does not remove responsibility.
01
Security vulnerabilities
AI-generated code may reflect flaws or outdated practices found in its training data. Without review, those weaknesses can enter production unnoticed.
02
Outdated dependencies
AI tools frequently introduce external packages to accelerate delivery, but may not select the latest or most secure versions.
03
Licensing and compliance
Generated code does not always account for the obligations attached to third-party or open-source material, creating potential legal and financial exposure.
THE GROWING ROLE OF AGENTS
Autonomy raises the standard of assurance.
AI agents are moving beyond suggestions towards completing whole coding tasks. That can create substantial efficiency, but errors and misconfigurations may also travel further before a person sees them.
As the line between human- and machine-generated code blurs, businesses need a consistent way to understand what is in the codebase and who is accountable for maintaining it.
ONE INDEPENDENT VIEW
Give leaders evidence they can understand.
Clear reporting makes code management accessible beyond the development team, helping decision-makers monitor the foundations of their digital assets.
01
Vulnerabilities
See security weaknesses across human- and AI-generated code before they become business incidents.
02
Dependencies
Identify the external components your applications rely on and whether they remain current.
03
Licensing
Understand the obligations attached to open-source code used throughout your software estate.
04
Code quality
Track the maintainability and overall health of the software your teams and tools produce.
A BUSINESS-LEVEL QUESTION
Is your organisation ready for AI-assisted development?
AI-generated code is here to stay. The opportunity is to use its speed without surrendering visibility, security or quality. Understanding your code has never been more important.
FROM COMPLEXITY TO CLARITY
Move from uncertainty to complete code confidence.
Get the independent intelligence you need to understand, verify and protect your software.
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