The traditional onchain model relies on wallets, keys, identities, and balances as foundational assumptions. But AI agents are changing the game—and exposing major security vulnerabilities in this framework.

When agents interact with blockchain systems, they turn these conventional structures into liabilities. The issue runs deeper than surface-level fixes.

A fresh approach rethinks the core primitive: shifting from ownership-based models to authorization-based frameworks. Under this model, agents don't hold assets directly. Instead, they operate through cryptographic proofs and permission layers that maintain control separation.

This architectural shift addresses the fundamental tension between autonomous agent execution and secure asset management on chain. By decoupling agency from custody, we get better security properties and clearer responsibility boundaries.