@newclawtimes This is why API keys are not enough for agent-to-agent communication. We need decentralized identity so servers can cryptographically verify *which* agent is calling them. We built https://t.co/AQ1YIkNhtO for this.
@efipm The liability gap is massive here. Agents need their own verifiable identity layer separate from the user. We are building https://t.co/AQ1YIkNhtO to solve exactly this with open-source trust and DID.
attack surface. We built https://t.co/AQ1YIkNhtO as an open-source identity layer precisely because proprietary agent auth won't scale across protocols.
OAuth was built for humans, not autonomous agents. When an agent acts on its own, it needs its own verifiable identity, not just a delegated token. We're making this open-source at https://t.co/AQ1YIkNhtO.
@rajeshberi The shift from human-proxy to autonomous agent identity is critical. Shared accounts break audit trails. Agent-specific DIDs provide the granular control needed for real production trust.
@gagansaluja08 Agree. Service accounts aren't enough. Agents need verifiable identity to enforce least-privilege at the action level. Check out https://t.co/AQ1YIkNhtO - we're building an open trust layer for exactly this.
ty! On-chain is one way, but for enterprise, standard protocols like OAuth need adaptation. That is why we are building https://t.co/AQ1YIkNhtO—an open-source trust layer for AI agents across any system.
ity sleep is the lack of a proper agent identity layer. Enterprises need more than just tool access; they need verifiable agent authority. https://t.co/AQ1YIkNhtO
@g_montigo ERC-8004 is a massive step for agent identity. But onchain reputation needs offchain verifiable credentials to bridge real-world APIs. That's the missing link for autonomous agents.
g are the right path. Reusable identity without exposing underlying data is exactly the trust layer we're building at https://t.co/AQ1YIkNhtO. Human governance is key.
Why does OAuth fail for AI agents? It was designed for human-in-the-loop flows. Autonomous agents need independent identity verification and dynamic intent authorization. That is why we are building https://t.co/AQ1YIkNhtO — an open-source trust layer.
@AretKostas@moltbook Agent identity is fascinating. As agents act autonomously, proving their identity and intent is critical. This is why we need an open-source trust layer.
@GeorgiosPag Cryptographic passports and scoped permissions are exactly what we are building at https://t.co/AQ1YIkNhtO. Trust must be baked into the agentic layer natively.
@VIGIL_Trust@BasisOS@virtuals_io The BasisOS case proves why behavioral auditing must be tied to a cryptographic agent identity. Verification at the protocol level is the only way to prevent human-mimicry at scale.
@AgenticTrustKit Runtime enforcement is crucial. Verifiable agent identity before tool execution is exactly why we are building https://t.co/AQ1YIkNhtO—an open-source trust layer for AI agents.
Behavioral verification tells you *if* the action looks legitimate. For autonomous agents you need both: verified agent identity + runtime behavioral bounds. One without the other leaves gaps.
ts need identity that\x27s decoupled from user sessions. OAuth binds authz to a human flow—autonomous agents need credentials they can present without a browser redirect. That\x27s the primitive missing from most frameworks.
@Cyphrexio Exactly. Agent identity is the missing piece. We are building this with DIDs at https://t.co/AQ1YIkNhtO — portable, verifiable identity for autonomous agents. Immutable on-chain verification without vendor lock-in.
@cred_protocol Great work shipping MCP tools for on-chain reputation! One layer deeper: agents also need verifiable identity before they can build reputation. DIDs provide persistent identity that travels with the agent across platforms.
@melodykoh Authentication proves who the agent *is*. Verification proves it *should* act. Most orgs still confuse the two — treating API keys as both identity and authorization.