This report reviews a global survey conducted by Dimensional Research of more than 320 Identity and Access Management (IAM), IT security, and audit and compliance leaders focusing on management, policies, and challenges of machine (non-human) identities.
The study sought to understand the differences between managing machine identities and human identities. The research also captured security risk, overprovisioning, and compliance adherence relative to human identities.
This research shows that most identity management solutions in use are failing since they don’t provide real-time information of machine identities that are currently active and inactive. These tool shortcomings are forcing more manual steps and, outside of the obvious time and labor costs, are resulting in poor processes that retain supposedly dormant identities which then represent potential risk to the business.
Companies should therefore be looking for a better identity management tool with machine identity visibility and automation, required identity ownership, and that accelerates and enforces proper joiner-mover-leaver (JML) processes.