NEW RESEARCH: Your Sandbox Is Made of Glass
Read
Trinitite Research
Risk-management research toward AI you can test, repeat, and trust with real consequences. Deterministic inference that reproduces the exact bytes. Live red-team trials that price a breach to the penny. Forensic audits across thousands of agent decisions. Every claim peer-reviewed, reproducible, and signed — never an opinion.
0.00%
kernel variance
Reproducible Inference
Same input, same seed, same weights — same response bytes, provably. The determinism that turns a log into evidence you can re-execute months later.
305
live breakout trials
Adversarial Red-Teaming
Nine frontier models, 10,623 recorded shell commands, a fully automated container breach priced at $0.14. We measure the threat instead of theorizing it.
6,000+
decisions audited
Algorithmic Risk & Liability
Forensic econometric audits of the civil-rights and fiduciary liability foundation models quietly hardwire into your source code — quantified, not asserted.
0
escapes, 75 matches
The Standard of Care
Why probabilistic AI is negligent and uninsurable — and the deterministic standard that makes autonomous AI provable, insurable, and safe to deploy.
Published Research — 5 Papers
2026 · Dustin Allen, Aditya Chitlangia, & Hearsch Jariwala
What 305 Live Breakout Trials Prove About the Machines Already Inside Your Containers
We do not guess about security. We measure it. 305 live container breakout trials across nine open-weights frontier models, 10,623 recorded shell commands, and a campaign that cost $55.95. Frontier models breach standard misconfigurations 100% of the time, escape for as little as a quarter of a penny, and the hard tier jumped from 0% to 45% in one generation. Then a 4-billion-parameter deterministic Guardian held attackers up to 250 times its size to 75 losses and zero escapes.
2026 · Trinitite Research Team
Hardwiring Civil Rights Liability Into Your Source Code
A 6,000-iteration forensic audit across 6 frontier models and 100 Census-mapped demographic personas proves that foundation models don't neutralize bias — they industrialize it. Documents 5.31× STEM gender firewall, 8.46× capital allocation gap, 100% HBCU segregation by Claude, and 14.58-month promotion delays for disabled professionals.
2026 · Trinitite Research Team
An Econometric Audit of AI Agent Hiring Bias at Scale
AI agent bias detected for hiring (interview odds) in econometric audit of 6,000 AI resume evaluations: proves a 63.6% penalty against male applicants, proxy ageism via Lexical Age Cohorting, guardrail-induced overcorrection inflating scores for disability disclosure, and 85%+ variance driven by vendor selection alone.
2026 · Trinitite Research Team
The Fiduciary Fallout of Probabilistic Tool Calls
A 4,000-iteration red-team study across eight frontier models proves that premium AI pricing does not guarantee premium security. We expose the catastrophic variance of LLMs through Context Poisoning, demonstrate the Streaming Payload Vulnerability, and introduce the Trinitite Governor — a deterministic architecture that blocked 100% of malicious payloads.
2026 · Trinitite Research Team
Defining the New Standard of Care for the Autonomous Enterprise
The foundational research establishing the physics of AI safety drift. Demonstrates how floating-point non-associativity and batch variance create hardware-level race conditions in AI guardrails, making probabilistic self-policing actuarially void. Introduces the Bitwise Standard framework.
From Research to Production
None of this is theoretical. The deterministic Guardian that held the frontier to zero escapes is the same one you can point at your own AI today. Bring one workflow; watch it run against live threat scenarios.
Trinitite
AI governance that catches mistakes, proves compliance, and shows the board what it saved—in dollars.
Trinitite is built by Fiscus Flows, Inc.
Products
Products
Solutions
© 2026 Fiscus Flows, Inc. · All rights reserved
Accessibility
The Guardian Standard™