GeneSign: Autonomous Biosecurity Agent & DNA Steganography on Sanity Content Lake

A developer built GeneSign, an autonomous biosecurity agent that screens DNA sequences against a structured Biosecurity Knowledge Base hosted on Sanity before physical synthesis. The system uses GROQ queries and NVIDIA Nemotron LLM inference to generate threat rationales, then embeds zero-drift Ed25519 cryptographic watermarks into coding sequences via synonymous codons without altering amino acid translation. A one-base mutation interlock halts synthesis if the signature is tampered with.

This is a submission for the Sanity Challenge, Path One: Ship an Agent That Queries Real Content https://dev.to/challenges/sanity-2026-09-16 What I Built Modern synthetic biology is accelerating, but physical DNA synthesizers operate with a dangerous blindspot: lack of real-time provenance verification and context-aware biosecurity threat screening. GeneSign is an autonomous biosecurity agent and cryptographic DNA steganography engine. It screens genetic sequences against an authoritative, structured Biosecurity Knowledge Base hosted on Sanity before physical fabrication. If cleared, GeneSign embeds zero-drift, tamper-resistant watermarks into coding sequences without altering amino acid translation $\Delta GC = 0.000\%$ cite: 4, 14 . Key Capabilities: - Real-time Threat Radar: Matches biological sequence motifs against regulated select agents and restricted viral strains cite: 4, 14 . - NVIDIA Nemotron AI Rationale: Synthesizes regulatory compliance decisions and pathogen threat rationales via LLM inference cite: 4 . - Zero-Drift Wobble Steganography: Embeds dual-layer Ed25519 cryptographic signatures utilizing synonymous codons cite: 4, 14 . - 1-Base Mutation Interlock: Simulates physical hardware interlocks to halt synthesis immediately upon signature tampering cite: 4, 14 . Demo Code How I Used Sanity Biosecurity screening cannot rely on naive keyword search. A keyword match does not distinguish between harmless GFP reporter markers and regulated toxins or dual-use select agents. 1. Structured Content Lake: High-consequence pathogen taxonomies, biosafety levels BSL-3/4 , CDC/Australia Group regulated sequence motifs, and watermarking provenance records are modeled as structured JSON schemas in Sanity. 2. Sanity Context & GROQ Querying: When a user submits a FASTA sequence, the agent extracts biological coordinates and queries Sanity via GROQ to resolve relational context homology thresholds, legal restrictions, and risk classifications . 3. Agent Decision Loop: The agent feeds structured records retrieved from Sanity into NVIDIA Nemotron to generate deterministic threat rationales and trigger automated interlocks before authorizing zero-drift watermarking cite: 4, 14 . Sanity Project Details - Sanity Project ID: genesign-biosecurity - Public Dataset URL: https://genesign-biosecurity.api.sanity.io/v2021-03-25/data/query/production?query= type%20in%20 %22selectAgent%22,%20%22watermarkRecord%22 Content Schemas - selectAgent : Defines regulated pathogens, organism taxonomy, risk group classifications, sequence motifs, and restriction rationales. - watermarkRecord : Tracks cryptographic Ed25519 public keys, synthesis lab provenance, ISO/TC-276 compliance, and tamper ledgers cite: 4, 14 .