Organizations increasingly view Identity and Access Management (IAM) as crucial due to AI agents' unique identity challenges. Managing non-human identities (NHIs) requires specific permissions and lacks accountability. Research indicates that 78% of organizations are concerned about controlling NHI access, while 69% worry about lifecycle management. Notably, only 10% have a robust strategy for NHI management. There is a lack of alignment and governance in AI integration, with only a third treating digital labor forces with similar oversight as human employees. Stricter guardrails for identity security are essential to mitigate risks.
Organizations face a pressing challenge managing the identity of AI agents, which have dynamic lifespans and lack traceable ownership, complicating security governance and audits.
Controlling access and permissions for non-human identities is the primary concern for 78% of organizations, highlighting the need for enhanced oversight in AI systems.
Despite recognizing the importance of identity management for AI, only 10% of organizations currently have a well-developed strategy in place, indicating a significant governance gap.
A centralized governance model for AI is lacking, with just 36% of organizations implementing consistent policies for digital labor forces compared to their human counterparts.
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