Building Crypto AI Agents: An Architecture for Evidence and Control
A builder-focused reference architecture for crypto AI agents that keeps untrusted input, model reasoning, tools, policy, signing, logs, and recovery in separate layers.
CL
CryptoLV EditorialEditorial team
·5 min read
Review and sources
Reviewed 2026-08-17 by CryptoLV Editorial. Next review: 2026-11-17.
- NIST AI Risk Management Framework 1.0 opens in a new tab
Supports: The framework calls for governed, mapped, measured, and managed AI risks; system architecture should preserve accountability rather than make a model the policy authority.
- NIST Cybersecurity Framework 2.0 opens in a new tab
Supports: Cybersecurity governance includes identifying, protecting, detecting, responding to, and recovering from incidents; agent services need audit and recovery paths from the start.
- OWASP Top 10 for LLM Applications opens in a new tab
Supports: LLM-connected products need controls for prompt injection, insecure output handling, excessive agency, and insecure tool use.
- ERC-4337: Account Abstraction opens in a new tab
Supports: Smart contract accounts can implement custom validation logic, while signed UserOperations still require an account-specific authorization and execution policy.
Add progress to your track
