BUSINESS surveillance
THE AI CODE GENERATION TRAP: WHY SPEED WITHOUT SECURITY IS A TIME BOMB FOR CISOS
Organisations are facing a new threat that existing security frameworks struggle to address: AI-generated code, writes Barnabás Birmacher, CEO of Bitrise.
AI is fundamentally changing the
C software development process with vast efficiency improvements, but many information and security officers are still treating it like just another productivity tool. But the truth is that no existing security system was designed to keep pace with the volume and speed of AI code generation tools.
Widespread use of unapproved tools lead to intellectual property leaks. AI errors and inadequate code review processes lead to critical flaws becoming embedded in security functions. If CISOs don’ t act now to rethink security architectures and controls, they won’ t just scale code generation faster; they’ ll scale risk faster. The question is clear: how can organisations harness the benefits of AI in software development while maintaining high security standards?
Risks of AI adoption in software development
Incorrect outputs from AI are not caused by incompetence or fatigue like output from human developers; they’ re the product of hallucinations. In code generation, AI hallucinations manifest as insecure authentication flows, broken encryption, missing or misapplied input validation and logic errors in critical security functions. A study by CSET found nearly 50 % of AI-generated code snippets contained insecure bugs.
Barnabás Birmacher, CEO of Bitrise
WWW. INTELLIGENTCISO. COM 57