Resources for financial AI agents.
Azomland publishes research, open-source tools, and security guides from patterns found in the KYA Agent Registry. The loop is simple: measure agent risk, publish the signal, ship the mitigation.
From registry signal to open-source tool.
KYA audits surface repeated risk categories across agent frameworks.
Azomland turns recurring signals into research resources and practical guidance.
When a pain is common enough, it becomes a free tool operators can run.
Tool output feeds better scoring, better patterns, and the next resource.
Research explains the problem. Tool pages help operators act on it.
Dependency Vulnerabilities Are the First Risk Layer for Financial AI Agents
The largest signal in the KYA Agent Registry is not exotic prompt injection. It is vulnerable dependencies inside agent projects that can install packages, execute code, call APIs, and eventually hold financial permissions.
npmsecure
An open-source scanner, hardener, and malware detector for npm projects. Built for teams operating JavaScript and agentic systems with real supply-chain exposure.
Tool Abuse Risk in AI Agents
If agents are going to hold money, use cards, call APIs, and move value, tool permissions become financial permissions.