Machine identity crisis: The challenges of manual processes and hidden risks 

New research reveals critical gaps in machine identity management

In today's digital landscape, machines are quietly outnumbering humans in our corporate ecosystems. But are enterprises equipped to handle this silent takeover?

The latest comprehensive report from Dimensional Research exposes the struggles companies face in managing their growing machine identity populations.

With 69% of organizations now having more machine identities than human ones this latest research report unveils a significant shift in the identity management landscape, highlighting the growing prevalence and complexity of machine identities in corporate environments.

Discover key insights on topics like:

• Management challenges: 72% of identity professionals find machine identities more challenging to manage, due to poor internal processes and insufficient identity tools
• Increased manual workload: 66% report that managing machine identities requires more manual intervention compared to human identities
• Audit complexities: 59% of companies face greater difficulties in auditing machine identities, primarily due to lack of clear ownership and limited visibility.
• Elevated security concerns: 60% of identity experts perceive machine identities as posing higher security risks than their human counterparts.

These findings underscore the urgent need for organizations to enhance their governance and management practices for machine identities. Equip your organization with the knowledge to navigate the complexities of modern identity management effectively.

Discover comprehensive insights and strategic recommendations in the full report.