Sdlc news

The rise of agentic AI is introducing new data security and compliance challenges into the software development lifecycle (SDLC). As AI agents interact with data at every stage, they can inadvertently distribute sensitive information, creating risks that many organizations are unprepared to manage or track effectively.

AI is making software development faster by generating code and enabling continuous testing. However, this increased speed isn't leading to better business results. The traditional, step-by-step development process is becoming obsolete, replaced by a more compressed, continuous learning model that needs a new approach.