Machine identities, the digital credentials used by machines, are rapidly growing within identity and access management (IAM) programs, significantly surpassing human identities. This trend poses new risks, as these non-human identities are powerful actors able to access sensitive data and control critical processes. As AI systems evolve, understanding identity now includes considering their capabilities and autonomy, raising complex questions about trust. Effective governance and transparency in managing these identities are essential as they differ in lifespan and behavior, demanding careful tracking and accountability.
Machine identities are becoming attractive targets for cybercriminals due to their rapid growth in identity and access management programs, outnumbering human identities significantly.
As AI systems grow in autonomy, the concept of machine identity evolves, encompassing capabilities and goals beyond simple digital credentials, which raises trust and control issues.
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