AI agents should have ID wallets
AI agents need ID wallets to be trusted and interoperable with personal and organizational systems, ensuring secure and verifiable transactions.
By Bo Harald, Chairman/Founding member, Trust Infra for Real Time Economy Prgrm & MyData
Published: 2 hours ago | 209 views | Be the first to comment
Why AI Agents Need ID Wallets
AI agents are of limited use unless they can be trusted and interoperable with personal and organizational ID wallets. As customers, suppliers, and staff adopt ID wallets, AI agents must seamlessly interact with them while adhering to strict instructions. Crucially, AI agents cannot enter legally binding agreements—responsibility lies with natural or legal persons who must verify transactions using ID-building wallets.
Key Reasons for AI Agent ID Wallets
- Employment-Seeker Analogy: AI agents should present verifiable credentials like human job applicants, using interoperable wallets for data exchange.
- Identification & Security: Agents must provide verifiable identification credentials (e.g., for lease contracts or warranties).
- Internal vs. External Data: While internal data searches require less security, external data collection demands wallet-based verification.
- Delegation of Tasks: When sent on external missions, AI agents need credentials (e.g., power-to-act verification) like human staff, with strict usage controls.
- Verification by Counterparties: Other entities (or their AI agents) will expect verifiable credentials (e.g., identity, authority) presented wallet-to-wallet.
- Automated Trust: Unified wallet-to-wallet verification ensures ease and reliability in interactions.
- Data Aggregation: AI agents must securely collect and transfer data (from open sources to real-time behavioral inputs) for business or personal use.
- Agent-to-Agent Trust: ID wallets enable secure, automated exchanges. (LinkedIn post)
External Content Disclaimer: This article reflects the author’s views, not Finextra’s.
Tags: #AI #DigitalIdentity #Blockchain
Related News
Zenline AI Secures 1.6M Pre-Seed Funding for Retail AI Solutions
Zurich-based Zenline AI raises 1.6 million in pre-seed funding to enhance its AI-driven retail assortment optimization platform.
Baidu Launches GenFlow 2.0 with 100 AI Agents for Enhanced Productivity
Baidu Wenku and Netdisk introduce GenFlow 2.0, featuring over 100 parallel AI agents for faster task processing and real-time control, integrated across Baidu's ecosystem.
About the Author

Dr. Lisa Kim
AI Ethics Researcher
Leading expert in AI ethics and responsible AI development with 13 years of research experience. Former member of Microsoft AI Ethics Committee, now provides consulting for multiple international AI governance organizations. Regularly contributes AI ethics articles to top-tier journals like Nature and Science.