Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI-assisted development has crossed a tipping point. Mobile teams are no longer debating whether to use AI to write code. They are deciding how fast they can ship with it. This shift, often called vibe coding, prioritizes intent and speed over manual implementation. Developers describe what they want, and AI fills in the rest. Velocity improves. Releases accelerate. But security assumptions quietly break. For mobile applications, that risk compounds.

Compliance once followed a schedule. Teams prepared evidence near audit windows, ran tests in batches, and treated documentation as something assembled outside the development lifecycle. That approach no longer holds when releases ship continuously. Every commit, dependency update, and configuration change reshapes exposure and alters what evidence must exist.

Compliance once lived on a calendar. Teams prepared for it in advance, reviewed it periodically, and treated it as a milestone separate from engineering work. That model no longer holds. Mobile applications now ship continuously. Features move weekly. Fixes land daily. Every change, no matter how small, alters the security and privacy posture of the organization. In this environment, compliance cannot trail development. It has to move with it, embedded into how software is built, tested, and released.