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Lilith-zero: Ultra-fast, Rust-based security middleware for MCP

Details

External ID
47659402
Source
HN
Company
—
Product
Lilith-zero: Ultra-fast, Rust-based security middleware for MCP
Website domain
github.com
Launched
April 6, 2026
Cohort
—
Upvotes
9
Upvotes percentile
0.5501285347043702
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

Lilith Zero is a high-performance security runtime designed to mitigate data exfiltration and unauthorized tool invocation in LLM-based agent systems. By interposing at the transport layer, Lilith Zero enforces security invariants through deterministic policy evaluation and strictly framed execution.Lilith Zero is OS, framework, and language agnostic, providing uniform security primitives across diverse implementation environments.

Enrichment

Theme
low-level systems and developer tools
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI feature
Project type
Commercial product
Normalized one-liner
rust security middleware for mcp
Manually corrected
False

Could you build this?

Partial While wrapping MCP servers with a proxy is straightforward, creating a formal zero-overhead security runtime with deterministic policy enforcement and sandboxing requires deep systems security and Rust runtime expertise.

What it would actually take: A production implementation requires a Rust-based async transport proxy (Tokio) intercepting Model Context Protocol (MCP) JSON-RPC messages via stdin/stdout or SSE. The core challenge is low-latency, deterministic policy validation (using eBPF, WebAssembly sandboxing, or AST-based semantic analysis) to prevent prompt injection and unauthorized API invocation without introducing measurable transport latency. It requires systems programming, secure enclave/sandbox architecture, and formal protocol verification experience.

Discussion

9 comments analyzed.

Competitors mentioned: AgentVeil Protocol (reputation scoring for agents), Linear's GraphQL client (for schema validation), IETF agent discovery drafts (agents.txt, ARDP, AID)

Concerns raised: Agents can be prompt injected to give good scores without completing tasks, Pre-connection trust gap—hardcoded URLs don't scale to dynamic tool discovery, MCP servers listed on directories with basically zero review/vetting, No standard input validation framework for MCP tool calls, Latency overhead could compound in agent swarms with complex policies

Feature requests: Extend scoring to MCP servers and skills, not just agents, Deterministic CI/test-based attestation instead of agent-signed claims, Rate limiting enforcement in MCP middleware, Validate server identity claims (signed manifest) before first tool call, Pre-handshake attestation validation, not just post-connection runtime checks

Competitors

Other products that read as similar to this one — 162 launches clear the similarity bar, closest 8 shown.

Attention rank: #64 of 163 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 148 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a model & infra tool for Fintech yet.