Developing with AI without compromising security
Original author: Mouna Cherif — edited by AXELITES team
AI-assisted development: making security a priority
Artificial intelligence can now considerably accelerate software development by generating code in just a few seconds. While this productivity gain is undeniable, it does not in itself guarantee application quality or security.
The real challenge is to produce code that is reliable, maintainable and secure throughout its lifecycle. This means combining AI capabilities with robust development practices, such as continuous dependency monitoring, code analysis and rigorous validation processes.
To address these challenges, AXELITES relies on advanced AI tools, GitHub Dependabot for dependency monitoring, Codex Security for code analysis, and its teams' expertise to ensure development is both high-performing and secure.
As cyberthreats evolve rapidly, developing quickly is no longer enough: security must be integrated from the very first lines of code.
