Most Australian enterprises believe they have identity security under control. Frameworks are in place, policies are documented, and zero trust strategies feature prominently in boardroom presentations and annual reports. On paper, it looks robust. In practice, many...

Organisations face significant security risks in the era of “vibe coding” and AI-generated software. A recent benchmark test conducted by Armis that revealed that every model struggles to consistently produce secure code. This reality necessitates that Application Security (AppSec) programs shift away from fragmented vulnerability scanner management and adopt a risk-first strategy.

A unified identity security strategy not only reduces risk but also enables organisations to innovate with greater confidence. As companies continue to adopt AI, automation, and cloud-native architectures, those with strong identity security will be better positioned to scale securely and minimise identity-based risks.

Many Australian organisations believe their identity security is robust, but much of it relies on outdated, static controls that no longer match today’s dynamic environments. As workforces, applications, machine identities, and AI agents rapidly expand, traditional governance models—built on periodic reviews and fixed permissions—fail to detect evolving risks in real time.