Use cases

Built for the industries that can't afford to guess.

Deterministic enforcement for AI agents operating in regulated, high-stakes environments. Every action governed before execution.

Industries

Fintech & Banking

AI agents moving money at machine speed.

Payment execution, fraud triage, lending automation and customer account access — all operating faster than any human review cycle.

Enforcement pipeline

01Funds moved before any human sees it

Risk

Prompt injection coerces a payment agent into initiating a transfer to an attacker-controlled account — at the speed of an API call.

Checkpoint
DENY

Network policy enforces an approved destination allowlist. No injected instruction can route funds outside it.

02Customer account data returned out of scope

Risk

Support agents manipulated into surfacing card numbers, transaction histories, or account details beyond the authenticated session.

Checkpoint
MODIFY

Sensitive field patterns are detected and stripped from agent responses before they reach the end user.

03Refund and credit abuse at scale

Risk

Customer-service agents coerced into issuing credits systematically — undetected until end-of-month reconciliation.

Checkpoint
ESCALATE

Transactions above threshold pause and wait for an explicit human approval. Agent aborts on timeout.

RBI IT/cybersecurity guidelinesPCI DSSDPDP Act, 2023SOC 2

Let something decide for you. Just not unsupervised.

Bring one workflow you are nervous about. We will show you exactly where the checkpoint goes and what it would have stopped last month.

See the platform

Questions

The things people ask first

Short answers on how this runs, what it costs you in speed, and what you can hand to an auditor.

A decision checkpoint for software and machines that act on their own — it approves, trims, escalates or refuses each action, and keeps a signed record of why.