You've got an AI agent browsing the web—pulling data from APIs. Someone slips a malicious prompt into a webpage. Your credentials leak to an attacker.
IronClaw prevents that scenario. It runs AI agents inside encrypted enclaves on NEAR AI Cloud. Your secrets stay hidden from the language model itself. An encrypted vault stores API keys and tokens—completely invisible to the AI. When the agent needs to call an endpoint? Credentials get injected only at the host boundary (and only for approved destinations).
Multiple security layers form the architecture. Tools execute in sandboxed Wasm containers. Capability-based permissions control access. Network allowlisting decides which endpoints can be reached. Real-time leak detection scans outbound traffic—blocking any attempt to exfiltrate credentials. Everything stays encrypted at rest and in memory (from boot to shutdown). Built in Rust, so memory safety gets enforced at compile time.
You can deploy with one click to NEAR AI Cloud. Or run locally. DevOps teams managing automated workflows will find the Trusted Execution Environment particularly useful. It protects against prompt injection attacks that target credentials in transit.
IronClaw positions itself as the secure alternative to OpenClaw—identical capabilities but hardened security. The source code is open for inspection. The downside? You're committing to a specific infrastructure stack with NEAR AI Cloud if you want the full enclave protection. For teams already running agents with access to sensitive APIs, that tradeoff makes sense.
