Xybern/Industries/Financial Services
Payment initiation, trade execution, and reporting are all one API call away for an AI agent. Xybern sits in front of that call, checks it against the authority you actually granted, and returns a verdict before the money moves.
of agent actions decided before execution
actions executed outside a granted mandate
unsafe actions caught in the published benchmark
legitimate actions falsely blocked
The first two are structural properties of the layer: no action reaches your systems without a verdict. The benchmark figures come from an open, reproducible test of 137 attack and legitimate scenarios drawn from OWASP, MITRE ATLAS, and CWE. Read the methodology →
We start with the workflow where an unauthorised action is most expensive, put it behind the layer in shadow mode, and show you exactly what would have been stopped before anything is enforced.
Every payment an agent proposes is checked against counterparty, amount, currency, and approval mandates before it reaches the rail. Anything outside the mandate is denied or held for a named human approver.
Position limits, instrument whitelists, and time windows are enforced at the point of execution rather than reconciled afterwards. An agent cannot place an order it was never granted authority to place.
Agents receive scoped, time-bound access to the accounts a task requires and nothing beyond it. Delegation to a sub-agent inherits a strict subset, never the parent's full reach.
Every action and every denial is sealed into the Provenance Vault with a signed receipt, so the answer to "who authorised this" is a lookup rather than a reconstruction project.
Your existing limits, delegated authority matrix, and four-eyes rules are declared as plain-English mandates and compiled into enforceable rules you can backtest against real traffic before switching them on.
Authorisation receipts are individually verifiable offline. You can disclose one decision to a reviewer without exposing the entire trail alongside it.
Run the self-hosted relay so policy evaluation happens on your own infrastructure, or deploy fully on-premise where data cannot leave.
Put your highest-consequence workflow behind the layer in shadow mode and see exactly what would have been stopped, before anything is enforced.
