AI coding is putting software risk on steroids

Artificial intelligence has transformed how software is built.

Tasks that once took software developers days, if not weeks, to finalize can now be completed in hours with the assistance of generative AI tools .

The promise is compelling, offering faster innovation, increased productivity , and the ability to bring new applications to life at an unprecedented speed.

But what is the impact on security? AI coding has simultaneously put software risk on steroids.

This is not because AI-generated code is uniquely flawed; it’s because it enables organizations to build and deploy software faster than any existing security , governance, or risk management process.

Development velocity has accelerated toward machine speed, while governance remains largely human-driven.

That gap is now one of the defining software security challenges of the AI era.

Software is moving at machine speed.

Security isn't.

AI is not only changing how code is written; it is changing how software is assembled.

Developers can now assemble applications using open-source components, APIs, and third-party services faster than ever before.

Every new application, integration, and dependency expands the attack surface that organizations must inventory, monitor, and secure.

The result is now a growing imbalance between software creation and software remediation.

As the pace of software creation increases, remediation must keep up.