From Code to Crypto Payments: AEREDIUM Launches Dual-Layer Controls for Autonomous AI Agents

Current image: Diagram illustrating AEREDIUM’s control layer for autonomous AI agents: policy engine evaluates actions, outcomes are approved/denied/held for human review, and every decision is cryptographically signed for auditability. Shows split view: left side for code governance (The Chair), right side for financial operations (MCP Connector).

As autonomous AI brokers tackle more and more delicate duties—from writing manufacturing code to executing multi-million-dollar trades—organizations are dealing with a brand new class of operational and compliance dangers. AEREDIUM, a digital asset infrastructure supplier, is addressing this problem with the launch of two new merchandise: The Chair and MCP Connector. Available through the corporate’s new aeredium.ai platform, the instruments introduce policy-based controls, human oversight, and verifiable audit trails for AI-driven software program growth and monetary operations.

Why Control Matters for Autonomous AI Agents

AI brokers are now not restricted to answering questions or summarizing paperwork. They’re now writing code, deploying adjustments to manufacturing repositories, and transferring actual funds throughout blockchains. While this unlocks large effectivity beneficial properties, it additionally introduces new publicity: a single misconfigured agent may cause irreversible harm via faulty commits, unauthorized transfers, or trades executed exterior danger limits.

“AI brokers are now not simply answering questions. They’re writing code, transferring cash and making selections which have actual penalties,” mentioned Albert Dadon, CEO and Founder of AEREDIUM. “The problem isn’t simply making these brokers extra succesful, however ensuring they function throughout the guidelines we set.”

AEREDIUM’s answer is to place a management layer between the AI agent and the techniques it interacts with. Every proposed motion is evaluated in opposition to owner-defined insurance policies earlier than execution. Outcomes are binary or triaged: routinely authorized, routinely denied, or held for human assessment. Each determination is cryptographically signed and recorded, making a verifiable historical past of agent exercise.

The Chair: Governing AI in Software Development

The Chair targets software program engineering groups that use AI coding assistants to modify inner techniques and repositories. It acts as a middleware layer between the agent and the event surroundings, evaluating every device name earlier than it runs.

Key capabilities embrace:

Policy enforcement: Actions like executing instructions, modifying information, merging code, or pushing adjustments are checked in opposition to organizational insurance policies.
Human assessment workflow: Requests exterior predefined guidelines are held for approval through a management panel.
Audit path: Every determination generates a signed receipt that paperwork what the agent tried, which coverage utilized, and who approved the motion.
Integration: Supports Claude Code through a devoted plugin and gives a ruled shell for different coding brokers, together with these from OpenAI.
No-code coverage setup: Organizations can outline insurance policies via a questionnaire relatively than writing guidelines immediately in code.

The product is offered with a 30-day free trial, reducing the barrier for groups to check governance workflows earlier than scaling.

MCP Connector: Controlled Finance for AI Agents

While The Chair focuses on code, MCP Connector applies the identical policy-driven method to monetary operations. It combines a coverage engine with a digital asset pockets, enabling AI brokers to execute funds and trades solely inside owner-defined limits.

Key options:

Role-based entry: Two agent roles can be found:
- Payer: Can ship USDC, USDT, PYUSD, and EURC to pre-approved addresses however can’t commerce.
- Trader: Can commerce on designated exchanges inside its personal pockets however can’t ship funds externally.
Ownership management: Each agent has its personal pockets, coverage, and designated proprietor. The proprietor defines the agent’s position, approves its mandate through a passkey, and might halt or delete the agent at any time.
Security: Threshold signatures are generated inside safe enclaves; no full non-public key’s ever created, and AEREDIUM doesn’t maintain entry to proprietor funds.
Blockchain assist: Currently helps Ethereum, Arbitrum, and Base. Transaction information are retained for seven years.
Framework compatibility: Designed for Claude and open to OpenAI and different AI frameworks.

This design ensures that even when an agent is compromised or misconfigured, it can’t exceed its approved scope—and each motion stays traceable.

Institutional-Grade Governance Built on Existing Infrastructure

Both merchandise construct on AEREDIUM’s current institutional infrastructure, together with threshold-signature know-how and a coverage engine already utilized in custody and blockchain settlement. The identical precept applies: transactions should fulfill predefined guidelines earlier than they are often signed, and all selections are recorded for verification.

By extending these controls to AI brokers, AEREDIUM goals to assist organizations undertake autonomous techniques for high-stakes duties whereas sustaining oversight, compliance, and auditability. The launch additionally marks a strategic enlargement past digital asset custody into the governance of AI-driven monetary and software program operations.