IronClaw

IronClaw provides a hardened runtime environment for deploying AI agents that handle confidential data and operations without exposing sensitive information. Built on open-source principles, it operates within Trusted Execution Environments on the NEAR AI Cloud, ensuring end-to-end encryption and secure computation by default. The platform eliminates the need for complex security configurations through its one-click cloud deployment feature, making enterprise-grade agent security accessible to developers of all levels. Credentials, API keys, tokens, and passwords are stored in a secure, encrypted vault and injected at predefined execution points only when needed. This compartmentalized approach prevents AI agents from accessing raw credential data or accidentally exposing authentication material during operations. Tools operate in isolated WebAssembly containers with capability-based permissions, ensuring each component has access only to its approved endpoints and necessary resources. The security architecture is reinforced through multiple layers of protection. Real-time inspection of outbound traffic prevents unauthorized data transmission, while tools can only communicate with pre-approved endpoints, maintaining strict control over data flow. By leveraging Rust for its runtime implementation, IronClaw eliminates entire classes of vulnerabilities such as buffer overflows and use-after-free errors through compile-time memory safety enforcement, significantly reducing the attack surface compared to traditional runtimes. IronClaw is designed for organizations deploying AI agents that require strong data protection, regulatory compliance, and transparent operational control. Whether handling customer data, financial transactions, or proprietary business logic, the platform provides the technical foundation for running intelligent automation safely and reliably.