OpenClaw is powerful, but give it real credentials and you're exposed. Prompt injections steal API keys. Malicious skills grab passwords. IronClaw fixes this. Your credentials live in an encrypted vault inside a TEE — injected at the network boundary only for approved endpoints. The AI never sees the raw values. Every tool is Wasm-sandboxed. Outbound traffic is scanned for leaks. Built in Rust. Open source. Deploy on NEAR AI Cloud in one click.
IronClaw feels like the kind of upgrade AI infra actually needed.
Giving models access to real credentials has always been risky, and most tools just ignore that. Vault + TEE + wasm sandboxing is a solid approach, especially if the AI never touches raw secrets. If this works smoothly in practice, it could set a new standard....
How are you validating real user behavior at IronClaw right now?
Isolating credentials from the model itself feels like the direction AI tooling needs to go, especially with prompt-injection risks growing fast.
I've been using Ironclaw, and it's a game-changer for secure, local AI that handles emails and scheduling without cloud leaks. The setup takes extra time due to robust security, but it's worth it for total data control. Highly recommend for privacy-focused users tired of data leaks.
I've been using Ironclaw, and it's a game-changer for secure, local AI that handles emails and scheduling without cloud leaks. The setup takes extra time due to robust security, but it's worth it for total data control. Highly recommend for privacy-focused users tired of data leaks.
The WASM sandbox & credential isolation architecture addresses real vulnerabilities we have seen in agent frameworks
Been testing IronClaw.
It’s basically OpenClaw, but I don’t have to worry about my keys getting leaked. That alone makes it worth it