Ravi Launches Identity Infrastructure Platform for Autonomous AI Agents
Key Takeaways
- ▸Ravi's platform solves a fundamental infrastructure problem: AI agents need independent, isolated identities to operate autonomously on the web
- ▸The solution provides enterprise-grade identity management for agents including email, phone, credential storage, and 2FA—mirroring how companies provision identities for employees
- ▸Identity infrastructure is programmable and revocable, enabling fine-grained access control policies and communication boundaries between agents
Summary
Ravi has introduced a comprehensive identity infrastructure solution designed specifically for autonomous AI agents, addressing a critical gap in agent autonomy on the web. The platform provides each AI agent with its own isolated digital identity, including a dedicated email address, phone number, and zero-knowledge credential storage—similar to how enterprises provision work identities for employees. This infrastructure enables agents to independently sign up for services, verify accounts, receive SMS messages and one-time passwords (OTPs), and manage stored credentials without relying on human personal accounts or insecure plain-text storage.
The solution treats identity as programmable software infrastructure rather than adapting human-centric tools. Key features include agent-specific email accounts with full send/receive capabilities, dedicated phone numbers for SMS and OTP interception, zero-knowledge vault storage for secrets, TOTP-based 2FA code generation, and granular access control policies that define which agents can communicate with others. Organizations can revoke agent identities at will and establish communication boundaries—for example, allowing a developer agent to reach only a product manager agent while restricting access to customer support channels.
Editorial Opinion
Ravi identifies a genuine infrastructure blind spot in the AI agents ecosystem. As autonomous agents become production-critical, they need proper identity isolation and credential management rather than sharing personal accounts or storing secrets in plain text. Treating identity as software infrastructure rather than forcing agents into human-centric authentication paradigms is a logical architectural approach that could become table stakes for enterprise AI deployments.
