Trustless guard-rails for the
autonomous agent economy

AI agents unlock a new paradigm of autonomous execution, where software continuously performs complex workflows at scale without human intervention. Agents can transact, coordinate, and negotiate with other agents, giving rise to machine-to-machine economies and entirely new market structures. Capabilities such as payments, data access, and compliance become composable, monetizable services exposed through open marketplaces. As agents observe and adapt, systems evolve from static processes to continuously optimizing networks—creating unprecedented gains in efficiency, scalability, and economic activity.

Transitioning to agent-enabled systems introduces fundamental challenges: loss of determinism, new security vulnerabilities, difficulty in controlling and auditing behavior, and the need to safely manage access to real-world resources. Traditional enterprise architectures are not designed for autonomous actors, requiring new infrastructure for governance, observability, and risk containment before agents can be deployed at scale. As agents scale to billions of interactions per day, even a tiny failure rate translates into millions of critical incidents, making robust control infrastructure essential.

AI agents get confidential information, cryptographic secrets, and API keys to access services, digital assets, and sensitive data. They operate with inherent unpredictability and without defined constraints. The cost of cybercrime is projected to exceed $10 trillion annually, with autonomous systems introducing entirely new attack surfaces.

For each resource and interaction type, a gateway guards access, mediates integration with external systems, analyzes interactions, and enforces restrictions. Gateways abstract underlying APIs and legacy services into controlled, standardized interfaces, allowing agents to interact safely with infrastructure that was never designed for autonomous use. Running as conventional code or LLM-based logic inside Rialo’s confidential computing engine (REX), gateways protect credentials and transmitted data while enabling secure, policy-driven adoption of agent-enabled systems. Gateways enable safe adoption of agents while reducing integration complexity by up to 80% and preventing costly security failures.

AI agent control requires guaranteed enforcement, verifiable execution, and coordination across untrusted parties. Gateways provided by third parties mediate massive value transfers and therefore need to be transparent and tamperproof. Off-chain systems rely on centralized operators, reintroducing the very risks they aim to mitigate: hidden policy changes, opaque execution, and lack of accountability. Rialo moves the agent control layer on-chain, where policies, execution, and outcomes are enforced and recorded by smart contracts within confidential execution (REX). This ensures that no single party can override rules, tamper with decisions, or obscure behavior—while still preserving privacy. Shared permissionless infrastructure is more economical and more secure.

// OpenClaw extension — one line to send an email through Rialo
"Hey OpenClaw, send an email to user@example.com and say 'Hello from OpenClaw through Rialo!'"

// Under the hood:
// 1. Transaction submitted to Rialo chain and routed to the gateway
// 2. REX checks policies inside confidential execution
// 3. Email delivered via protected API key — result stored on-chain