Application security strategies change as AI-generated code floods software development
Updated
Updated · HackRead · May 6
Application security strategies change as AI-generated code floods software development
11 articles · Updated · HackRead · May 6
A Stack Overflow survey found 46% of developers distrust AI coding output, versus 33% who trust it, as security teams face more AI-shaped code in pull requests.
The report says generated code can hide weak authorisation, unsafe defaults, exposed secrets and risky dependencies, pushing AppSec controls into IDEs, pull requests and CI/CD pipelines.
It urges governance over approved AI tools, risk-based review for sensitive systems and exposure-focused triage, while OWASP already lists supply-chain and other LLM application risks.
Are companies ignoring the EU AI Act's massive fines for insecure AI-generated code?
Is the AI coding revolution creating a hidden security debt that will soon become unpayable?
When an autonomous AI agent causes a data breach, who is legally responsible?