AI agents will need verifiable proof of identity, access, and authority as they begin spending money, sharing data, and completing transactions for users, according to Kenneth Shek, CEO of Moca Network and Project Lead.
The challenge of trust in autonomous agents
As artificial intelligence moves beyond simple tasks into financial and data-handling roles, the question of how to verify that an agent is who it claims to be becomes critical. Without a reliable way to prove identity and permissions, users risk fraud, data leaks, and unauthorized actions. Shek's statement points to a growing need for systems that can issue and check credentials for AI agents in real time.
Kenneth Shek's role at Moca Network
Shek leads Moca Network, an organization focused on digital identity solutions. As Project Lead, he is overseeing efforts to build infrastructure that can support verifiable credentials for autonomous software. The work aims to give users confidence that their AI agents are authorized to spend, share, and transact on their behalf.
The industry is still early in defining standards for agent identity. Shek's comments highlight a gap that will need to be filled before widespread adoption of agent-driven transactions can take place.
