Fraud detection, built for agents.
Fraud attacks moved upstream. A poisoned catalog, an injected tool call, a counterparty that isn't who it claims to be. The payment that follows is perfectly well-formed.
A2M and A2A.
One control plane for fraud.
Their agent. Unproven intent. Your risk.
Detect the attack. Score it. Prove it.
Trained on agent compromise. Not human fraud.
Prompt injection, catalog poisoning, counterparty spoofing, intent drift and self-dealing, each scored while the agent is still reasoning. Upstream of the rail, before anything is committed.
Block what's suspicious. Score everything you allow.
Our models don't just stop the obvious. Every agent carries a running trust score and every transaction gets its own. What you let through arrives with the reasoning that allowed it.
Every transaction, callable when the chargeback lands.
Merchants and PSPs query the signed record behind any agent payment: what the agent intended, how our models scored it, and why it was allowed. Representment evidence, not a support ticket.
- TX-3402marketing → Apollo$128.00Sealing
- TX-3401sales → Clearbit$59.00Signed
- TX-3400dev → Anthropic$487.30Signed
- TX-3399data → Snowflake$312.50Signed
- TX-3398finance → Stripe$1,240.00Signed
Intent in.
Signed decision out,
in milliseconds.
Gordon sits upstream of every payment rail. We score the agent's intent before it commits, then sign the decision so it travels with the transaction.
- 01Intake
Agent identity, counterparty, intent, tool calls, retrieved context.
- 02Evaluate
Hard policy first: allowlists, caps. Then the fraud models.
- 03Decide
Score, approve, block, or route to review.
- 04Settle
Visa, Mastercard, tokens, Stripe, x402, Base / Solana, ERC‑8004.