NemoClaw AI Shield

The 0.18ms Zero-Trust AI Firewall for Enterprise Agents.

3 followers

The 0.18ms Zero-Trust AI Firewall for Enterprise Agents.

3 followers

Deploy a Rust-powered AI shield in 30 seconds. NemoClaw masks PII at sub-millisecond latency and cryptographically watermarks LLM outputs for EU AI Act compliance.

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Launch tags:Developer Tools•Artificial Intelligence•GitHub

Launch Team / Built With

Maker

📌

Hi Product Hunt! 👋 I’m Atilla, an independent ecosystem orchestrator and infrastructure strategist. Over the last year, I've watched countless enterprises stall their autonomous AI deployments due to two massive fears: PII data leaks and unacceptable latency. Existing Python/Regex-based AI proxies add massive bottlenecks to production environments. That’s exactly why we built NemoClaw-in-a-Box. We stripped out the slow layers and built a C++/Rust SIMD engine that performs memory-level, zero-copy PII masking. The result is a sub-millisecond (<0.18ms) latency overhead. We also know compliance is a headache. So, NemoClaw automatically applies invisible cryptographic watermarks (HMAC-SHA256) to LLM outputs, instantly solving EU AI Act Article 50 transparency requirements. 🛠 Key Highlights: Blazing Fast: C++/Rust native engine. Vendor-Agnostic: Works seamlessly whether you run Llama locally or use OpenAI/Anthropic APIs. Drop-in Ready: Ships with Docker/K8s configurations. Deploy in 30 seconds. We are launching the open-core Community Edition today to help teams build safer, faster agentic workflows. I'd love to hear your feedback on our architecture, latency benchmarks, and how you currently handle LLM security in your own stacks. I’ll be here all day to answer your questions! 🚀

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2mo ago

Maker

🚀 Core Engine Update: True Zero-Copy & Enterprise Cryptography Achieved

Hello Hunters and Enterprise IT Leaders!

As part of our relentless R&D to break the "Vendor Lock-in" in AI Security, I’ve just pushed a massive architectural upgrade to the NemoClaw native Rust engine (lib.rs). We are not just filtering AI traffic; we are drastically cutting down the hardware (CAPEX) required to do it.

Here is what’s new in the core:

⚡ True Zero-Copy In-Place Mutation: We completely eliminated memory allocation (.to_vec()) during network packet processing. PII masking now happens directly at the pointer memory address. Result? Zero CPU-to-RAM bottleneck, paving the way for up to 40% TCO savings on Edge servers.
🛡️ Military-Grade EU AI Act Compliance: We upgraded our cryptographic watermarking from legacy MD5 to SHA-256. Your autonomous AI agents are now secured and stamped with uncompromising, enterprise-grade cryptography.

NemoClaw is designed to be the ultimate Asymmetric Advantage for your IT Procurement and Enterprise Architecture. Clone the repo, test the zero-latency proxy, and let’s discuss how to optimize your security infrastructure!

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1mo ago

Reviews

🚀 Core Engine Update: True Zero-Copy & Enterprise Cryptography Achieved

Hello Hunters and Enterprise IT Leaders!

Here is what’s new in the core:

⚡ True Zero-Copy In-Place Mutation: We completely eliminated memory allocation (.to_vec()) during network packet processing. PII masking now happens directly at the pointer memory address. Result? Zero CPU-to-RAM bottleneck, paving the way for up to 40% TCO savings on Edge servers.
🛡️ Military-Grade EU AI Act Compliance: We upgraded our cryptographic watermarking from legacy MD5 to SHA-256. Your autonomous AI agents are now secured and stamped with uncompromising, enterprise-grade cryptography.