Flagship — SGAIL Firewall

Our core product line: real-time enforcement and tamper-evident witnessing for AI-to-AI systems.

Public · Go

Harborlight Firewall

Tamper-evident machine-state logging for AI-agent environments — a two-binary witness + enforcer design with Merkle-chained records, gossip mesh, and a transparency mirror. The public core of the SGAIL Firewall.

  • Merkle log
  • Enforcement
  • Witness
Private · available on request

Harborlight Node

Edge-first, offline advisory node: an LLM operates advisory-only behind a policy gate and witness ledger, with one-way cloud sync. Working prototype for high-assurance edge deployments.

  • Edge
  • Policy gate
  • Offline

Adversarial-input defense

A coherent family of MIT-licensed, published detection primitives. These are the models our training datasets are built from.

Public · crates.io

split-brain-harness

Dual-hemisphere security layer wrapping any LLM: prompt injection, insider-threat, authority impersonation, and multi-turn escalation detection. Drop-in OpenAI-compatible proxy, offline, single binary. Benchmarked on three adversarial datasets.

  • Rust
  • LLM proxy
  • Benchmarked
Public · crates.io

deobfuscate

Multi-pass text deobfuscation / encoding-evasion detector for LLM security pipelines. Strips homoglyph, base64, Morse, and leet evasions and returns an audit report. ~2k prompts/sec.

  • Rust
  • Pre-filter
  • Audit report
Public · MIT

deobfuscate-vision

Image-borne prompt-injection detection: extracts every machine-readable text channel — white-on-white, sub-pixel fonts, alpha overlays, EXIF, QR — and scores it with the deobfuscate engine. The multimodal companion crate.

  • Multimodal
  • Image injection
  • Rust
Public · crates.io

unicode-interference

Detects hidden non-Latin and homoglyph characters via forward/reverse script-identification interference. Zero-dependency, no_std library and CLI.

  • Homoglyph
  • no_std
  • Zero-dep
Public · PyPI

glyph-validator

Python CJK glyph geometric-coherence validator: a deterministic NumPy/OpenCV gateway (no LLM) that catches malformed or spoofed CJK glyphs before they enter a pipeline.

  • Python
  • CJK
  • Data integrity

Research & concepts

Active research not yet released. Shared here as direction, not shipping products.

Research concept

topological-rag

A four-pathway topological RAG orchestrator (Rust workspace + FastAPI sidecar): an advisory-only LLM boundary with adversary (hallucination-flagging) and synthesizer pathways, backed by a witness log.

  • RAG
  • Advisory
  • Witness
Research concept

Gatekeeper V2

Intent-centered supervisory system for AI-to-AI and AI-to-tool interactions: hash-chained event log with drift and trust scoring. Local-first, TypeScript.

  • Governance
  • Intent
  • Trust scoring
Research concept

R-LLM

Dual-hemisphere split-brain LLM security classifier: two lenses reconcile a verdict, with a superposition-collapse probe. The research root beneath the split-brain harness.

  • Classifier
  • Split-brain
  • Method

GovTech & intellectual property

Domain-specific systems and formal disclosures. Sensitive systems are described at capability level only.

Public · Go

SLATE

Tamper-evident chain-of-custody evidence management: a local node with Ed25519-signed, court-defensible exports. Built for public-safety evidence integrity.

  • Chain of custody
  • Ed25519
  • Local-first
Private · under NDA

HIFAS

Hawaii Integrated Fraud Analytics System: a deterministic, court-defensible verdict engine where AI surfaces candidates and the rules engine decides. Sensitive government domain — described at capability level only.

  • Rust
  • Fraud analytics
  • Deterministic
Prior-art disclosure

Thumb-Server

Topological Photonic Thumb-Server — a formal 35 U.S.C. §102 prior-art disclosure (inventor Christopher Howard). Published to establish IP position, not a shipping product.

  • Photonics
  • Hardware
  • IP

Want to build on this stack?

Pilots, dataset work, and research collaborations are all on the table. Start a conversation with the lab.

Engage SGAIL Labs