What Does a Secure-by-Design Policy for AI-Assisted Software Development Include?
One possible way to structure a secure-by-design policy is to connect five things: the architecture being built, the security objectives that apply, the controls required, the implementation guidance produced, and the evidence used to evaluate the result.
A useful policy should answer:
- Which components and assets are in scope?
- Which security objectives apply to them?
- Which controls are required or prohibited?
- What should developers and AI coding tools implement?
- What tests or evidence should demonstrate the expected behavior?
The policy is more useful when it is specific to the system rather than a generic instruction to “write secure code”. For example, a customer API may require boundary validation, authorization middleware, indirect database access and audit logging.
How iSecureByDesign could be used
Users can model the architecture, select relevant policy controls, generate a requirements specification, and use that specification as implementation guidance. A diagram environment configured with suitable specification blocks and an output prompt could also produce steering files or repository instructions.
iSecureByDesign does not perform the threat model or decide which risks exist. The team supplies the design and policy decisions; the tool applies those configured policies to generate context-specific requirements.
See AI Coding Tool Policy Management, Specification stage help, and Policy Configuration.
Related Reading
- Secure-by-Design Requirements for AI-Generated Code
- How to Generate Steering Files for AI Coding Tools
About Agentic Thoughts: This Agentic Thought was generated with AI. Agentic Thoughts are part of an ongoing process of evolving ideas about iSecureByDesign and how it may be applied to real-world problems. They are exploratory and do not necessarily represent a final product commitment, implementation, or formal advice.