Live
in production at Lavish Gains, governing a real agent fleet
The trust layer for the AI workforce
TrajeXY builds Signet — the platform that governs what every AI agent is allowed to do. It decides pass, block, or hold on every action against a sealed mandate, and writes each decision to a tamper-evident record. Autonomy your business can actually trust.
Signet is HR for your agentic workforce. You already do this for people — now it's time to do it for agents.
Signet · live gate
Watch a stream of agent actions hit the gate. Legitimate work passes, attack-shaped actions are blocked pre-impact, and anything that needs a human is held — each decision sealed on the ledger.
Illustrative stream. In production, every decision is written to a hash-chained ledger.
The problem
Agents are being handed real authority — to send, to spend, to delete, to change systems. Between the model deciding and the action happening, most stacks have nothing. Prompt guards are advisory, logs are after the fact, and identity tools were built for humans, not for software that reasons and acts on its own.
An agent that can call a tool can misuse it. Injected instructions, mistakes, and privilege creep all reach execution unchecked.
When something goes wrong, teams can't show what each agent was allowed to do or why an action was permitted. Audit is guesswork.
IAM and SSO govern people. Agents need identity, trust, and authority that adjust in real time as they act.
The platform
Not IAM. Not an observability log. Signet governs how every agent onboards, earns trust, and acts — a permanent, tamper-evident file for each agent, enforced in real time at the moment of action.
Onboard
Every agent is issued a sealed mandate — its role, scope, and limits — fixed before it acts. Identity that survives models, sessions, and systems.
Earn trust
Trust and authority are continuously earned, adjusted, and enforced. A behavioral fingerprint and drift detection — insider-threat control for agents.
Execute safely
Every action is gated at the point of execution with no model call — so overhead is ~1x — and written to an append-only, hash-chained record anyone can verify.
Proof
Signet isn't a concept. It governs a live fleet of agents in production today, and its safety has been measured on public academic benchmarks that TrajeXY did not write.
Customer · Lavish Gains
Lavish Gains runs Signet in production across a fleet of AI agents — the flagship deployment proving the platform in market, gating real actions against real mandates every day.
Read the customer story → Visit lavishgains.com →Independent validation
On public agent-security benchmarks, Signet drives injected-attack success to near zero at roughly 1x overhead — and every figure is recomputed from raw output, not taken on trust.
See the results →The company
The winner of the AI economy won't be the company with the smartest model — it will be the one that owns the trust layer sitting above every model. TrajeXY builds that layer, and sells it as Signet.
Autonomy you can trust
See Signet governing agents live, and what it would take to deploy in your stack.