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Enterprise-grade defense on a box you own — 92.3% APT-class block rate, zero false positives, roughly one nanosecond per check. The light that stays steady while the storm rolls through.
Three separate products, three separate bills, three separate vendors who each hold a piece of your security — and a piece of your data.
The detection tool that pages you at 2 a.m. — and leaves you to figure out what it means.
The analyst service that reads your data to defend it — from their cloud, not your building.
The AI assistant nobody in the building actually trusts — because it lives somewhere else.
The current model asks you to send your most sensitive data somewhere else, pay a premium for the privilege, and trust that the vendor never gets breached. When they do, your data goes with them.
These are real results from industry-standard adversarial emulation — Caldera, Garak, PyRIT. Every number is documented, reproducible, and published in a public repository.
Verified via CALDERA nation-state emulation under Software-in-the-Loop methodology. Three-run identical outcome — deterministic, not probabilistic. Full run data in the methodology report.
We translated how the mind turns chaos into meaning — into math. That mathematics, compiled native, running on a biologically-inspired architecture, is a moat a giant can't cross by writing a check.
Dozens of in-house mathematical formulas — named for Black pioneers in science and mathematics — that find the attack hiding in ordinary-looking noise. A competitor can copy a formula. They can't copy the discipline that produced dozens of them.
The whole engine compiled to run local — memory-safe, deterministic, fast enough to check in a nanosecond. Not a cloud service with a local wrapper. The real thing, on your hardware.
A biologically-inspired architecture of specialized regions — the structure that lets one engine reason across security, medicine, and education without being rebuilt for each.
Your data, your system, your company — on your terms.
BethanyShell lands as an appliance — $40K up front (or $20K leased) plus $25 per seat per month. The box plus the seats replaces a $120–192K annual stack, so year one already costs less than what you pay now. The hardware bill rolls off over time, and the on-device AI colleague already sitting on the box becomes a near-zero-cost upgrade.
We don't ask you to trust a number on a slide. The full evaluation suite, methodology, and SIL environment are open-source and reproducible — clone it and run the red-team emulation on your own machine. Every result on this page is verifiable. That's the whole point.
Repo access and full run instructions are included with the methodology report below.
A walkthrough of the engine — how it reads a threat, reasons about it, and responds, all on the box, in real time.
Walkthrough video coming soon
The complete methodology report — red-team results, SIL run data, reproducibility instructions, and public repo access. Free — we just ask who you are.
Get the methodology report →Opens in DocSend · quick email registration · includes repo access instructions
Questions about deployment, seat count, air-gapped configuration, or whether BethanyShell fits your stack? Write to us directly — no sales process, no auto-responder.
Write to us →contactus@myasolutions.org · we respond personally
Evaluating BethanyShell as an investment? The full go-to-market, unit economics, and five-run validation data are in the investor briefing.
Investor briefing →