AI agents create digital identity challenges amid rapid expansion
ZeroBiometrics offers biometric linking for AI agents, while Anetac provides identity visibility solutions to address growing identity management needs.
AI agents are creating significant challenges for digital identity assurance, particularly in distinguishing them from human identities and managing their ownership and permissions. With the global AI agent market projected to grow from $5.25 billion in 2024 to $52.62 billion by 2030 (MarketsandMarkets), organizations face mounting pressure to track and control these non-human identities.
Identity Management Struggles
Fei Liu, Okta's Senior Emerging Tech Researcher, highlighted at RSA Conference 2025 that most organizations lack a strategy for managing AI agents. Unlike traditional identities, AI agents require access to user-specific data and workflows to function effectively (SC World).
ZeroBiometrics' Biometric Binding Solution
ZeroBiometrics has introduced a template-free biometric cryptography system to link AI agents to human identities. Their method uses certificate chains to bind agents to verified individuals, ensuring accountability and control. CEO Alfred Chan emphasized that this prevents AI agents from being hijacked or misused.
Key features of ZeroBiometrics' solution:
- Real-time biometric authentication
- Pre-defined transaction limits
- Support for decentralized ledgers and PKI
Frontegg's Identity Layer for AI Agents
Frontegg has launched an identity management platform tailored for AI agent developers. Their solution addresses the lack of standardized identity frameworks, offering:
- Multi-tenant onboarding
- Enterprise-grade policy controls
- Token rotation and security measures
CTO Aviad Mizrachi stressed that without proper identity infrastructure, scaling AI agents becomes nearly impossible.
Anetac Enhances Identity Visibility
unveiled , a software upgrade to its . The tool provides into both human and non-human identities, detecting risks like:
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About the Author
Alex Thompson
AI Technology Editor
Senior technology editor specializing in AI and machine learning content creation for 8 years. Former technical editor at AI Magazine, now provides technical documentation and content strategy services for multiple AI companies. Excels at transforming complex AI technical concepts into accessible content.