TL;DR

Shuriken has launched an infrastructure enabling autonomous agents to trade across multiple asset classes with granular permission controls. This development marks a significant step toward autonomous finance, though details on security measures and regulatory compliance are still emerging.

Shuriken has launched a new infrastructure that enables AI agents to perform autonomous trading across all major asset classes, incorporating safety guardrails that restrict their actions based on user permissions. This marks a significant advancement in the development of autonomous finance, allowing agents to act on-chain with granular control.

The Shuriken platform provides the tools and protocols for AI agents to trade in real-time markets, including cryptocurrencies, perpetuals, real-world assets, pre-IPO equity, and prediction markets. The infrastructure emphasizes security by avoiding seed phrases in runtime and offering detailed permission settings, ensuring users retain control over agent actions.

The platform includes a comprehensive integration guide and skills repository, allowing external agents and developers to connect securely via plugins and APIs. These tools facilitate authentication, permission scoping, and API calls, integrating seamlessly with popular coding assistants like Claude, Codex, and Copilot, among others.

Why It Matters

This development matters because it represents a major step toward fully autonomous financial trading, potentially increasing efficiency and market responsiveness. The safeguards aim to mitigate risks associated with AI-driven trading, addressing concerns about security and user control in autonomous systems. If successful, it could reshape how assets are traded and managed in decentralized finance.

Build Your Own Autonomous Trading System: A Complete Guide to Engineering Systematic Equity Trading Infrastructure with AI

Build Your Own Autonomous Trading System: A Complete Guide to Engineering Systematic Equity Trading Infrastructure with AI

As an affiliate, we earn on qualifying purchases.

As an affiliate, we earn on qualifying purchases.

Background

Until now, AI agents could perform many tasks but were limited in executing autonomous trades due to security and control concerns. Shuriken’s new infrastructure builds on recent trends toward automation in finance, leveraging on-chain data and real-time information feeds. The platform’s release follows ongoing industry discussions about the safety and regulation of autonomous financial agents.

“We are at the beginning of autonomous finance. Our platform provides the infrastructure for agents to trade securely across all major asset classes with user-defined safeguards.”

— Shuriken team

“The introduction of granular permission controls could be a game-changer for autonomous trading, balancing innovation with security.”

— Industry analyst

Amazon

cryptocurrency trading safety guardrails

As an affiliate, we earn on qualifying purchases.

As an affiliate, we earn on qualifying purchases.

What Remains Unclear

It is still unclear how widely adopted the platform will become or how effective the safeguards are in preventing misuse. Details on regulatory compliance and real-world testing outcomes are not yet available, and the security of the permission system remains to be validated in live environments.

Python für Fortgeschrittene: Fortgeschrittene Techniken und leistungsstarke Tools für erfahrene Entwickler – API-Schnittstellen und Web-Scraping mit ... vollständige Programmierweg) (German Edition)

Python für Fortgeschrittene: Fortgeschrittene Techniken und leistungsstarke Tools für erfahrene Entwickler – API-Schnittstellen und Web-Scraping mit … vollständige Programmierweg) (German Edition)

As an affiliate, we earn on qualifying purchases.

As an affiliate, we earn on qualifying purchases.

What’s Next

Next steps include broader onboarding of external developers and agents, real-world testing of the safeguards, and monitoring of market responses. Regulatory discussions and potential updates to improve security and compliance are expected in the coming months.

Express Schedule Free Employee Scheduling Software [PC/Mac Download]

Express Schedule Free Employee Scheduling Software [PC/Mac Download]

Simple shift planning via an easy drag & drop interface

As an affiliate, we earn on qualifying purchases.

As an affiliate, we earn on qualifying purchases.

Key Questions

How does Shuriken ensure the security of autonomous trades?

Shuriken employs granular permission controls that restrict agent actions based on user-defined scopes, avoiding seed phrases and enabling detailed oversight.

Can users fully control what their agents do?

Yes, users can set specific permissions for each agent, controlling which assets and actions they are authorized to perform.

Is this platform compliant with regulations?

Regulatory compliance details are still emerging; the platform emphasizes security and user control but further legal review is ongoing.

What types of assets can agents trade?

Agents can trade across cryptocurrencies, perpetuals, real-world assets, pre-IPO equity, and prediction markets.

You May Also Like

Digg is back again, this time to aggregate AI news

Digg has reemerged as an AI news aggregator, targeting the noisy AI space with a curated feed of key personalities, but faces challenges from bots and spam.

DaVinci Resolve 21

DaVinci Resolve 21 introduces a new Photo page, AI-powered tools, and workflow enhancements for editing, color grading, and still photography.

Building a web server in aarch64 assembly to give my life (a lack of) meaning

A developer has created a static HTTP web server entirely in Aarch64 assembly on MacOS, exploring low-level system calls and server mechanics.

Flipper One Tech Specs

The official tech specs for Flipper One have been published, detailing hardware features and capabilities. Key details confirmed, some aspects still unclear.