AI-Native Identity Platform

AI Agents are software acting on behalf of users – from personal shopping bots to enterprise assistants. OwnID’s identity platform supports these AI Agent Operators, ensuring they log in and access data under the same secure, user-approved rules as humans

Why it matters

As AI agents become common, businesses need to engage with them in a different way. Traditional login methods don’t fit agents, so OwnID provides an AI-native solution. This solution comprises three pillars: AgentLogin, AgentGuard, and AgentTrace which together cover authentication, authorization oversight, and audit trail for AI Agents.

AgentLogin

A secure login mechanism designed specifically for AI agents. It allows an AI agent (like a chatbot or digital assistant) to authenticate on behalf of a user. This authentication process ensures that AI-driven interactions are both seamless and secure, preventing unauthorized access while maintaining a smooth user experience.

AgentGuard

A policy and consent enforcement layer that governs what AI agents can do once logged in. Even after an agent authenticates, AgentGuard continuously checks its actions against the user’s permissions and the business’s security policies. It ensures just-in-time and just-enough access for the agent, meaning the agent only gets the minimal access required for each task, and only for the duration of that task.

AgentTrace

A comprehensive audit trail and consent logging system for AI agent activities. AgentTrace records every login attempt by an AI agent, the outcomes, and every significant action the agent takes within the system.Crucially, it tags these events as coming from an AI agent, as opposed to a human user, and identifies which agent performed them.

Consent Collection & Security Assurance

Before an AI Agent ever logs in on behalf of a user, that user’s consent is obtained and recorded via OwnID. Users grant specific permissions to the agent – e.g., read purchase history, schedule meetings – through a secure consent prompt. OwnID captures this consent and ties it to the agent’s identity (AgentTrace records it), so every agent action is backed by an approval trail. This means businesses can confidently allow AI-driven actions, knowing nothing happens without the appropriate sign-offs.

"By 2030, autonomous AI agents are expected to facilitate $1.2–1.8 trillion in annual e-commerce transactions, representing 20–25% of total global
e-commerce revenue"

— Forbes, David G.W. Birch

(Read here).