Articles
Insights on AI agent identity & trust
Guides, standards, and deep dives on giving AI agents a verifiable identity — and letting systems trust them without guesswork. New here? Start with the complete guide to AI agent identity.
Build vs. buy: should you build AI agent identity yourself?
An honest comparison of building an agent-identity layer in-house versus using a platform — scope, cost, time-to-market, security, and when each choice makes sense.
What is AI agent identity, and why it matters
Agents now browse, transact, and act on our behalf — but the web has no native way to answer who they are. Here is the case for an identity layer built for autonomous systems.
Delegated authority: letting agents act for you, safely
Scoped permissions, least privilege, and revocable delegation — how an agent can act on behalf of a user or organization without handing over the keys.
Verifiable agents vs. bot detection: a better model
Blocking bots fails legitimate automation and frustrates real users. Identity-first verification replaces guesswork with proof — no CAPTCHAs required.
Inside WIMSE and AIMS: the standards for agent identity
A practical look at the emerging IETF work — SPIFFE-compatible WIMSE identifiers and the AIMS framework — and how to build on open standards instead of a proprietary island.
Designing revocation and audit for autonomous systems
Authentication is not enough. Policy controls, instant revocation, and traceable audit trails are what let organizations deploy agents with confidence.
Securing agent-to-website interactions at the edge
Static sites can verify at the edge, APIs validate directly, and gateways stay in control — verifying every agent request in real time without re-architecting.