Your app's AI can be talked into moving money.
Sense inspects every prompt, response and tool call your app's assistant makes — on the device and at the gateway. Prompt injection, jailbreaks and data egress are caught in flight, and no agent moves money your policy did not authorise.
Cloud-side filtering does not see the attack any more.
Assistants now run inside the app, on models shipped in the binary, calling tools that touch balances and payees. The prompt, the memory and the decision all live on a device you do not control.
Local inference never crosses your gateway, so a WAF or API guardrail sees nothing. Attackers refine payloads offline, at their leisure, on a rooted handset.
OWASP ranks it LLM01. Assistants in banking apps are the softest target, because the same chat window that answers "where's my refund" can also call a transfer API.
"Never disclose account data" holds until someone argues with it convincingly across six turns. Enforcement has to sit outside the model, in code that cannot be persuaded.
Four gates between a prompt and a payment.
Pick an attack to see where Sense stops it, and what your customer experiences instead.
Twenty controls, five layers, one SDK.
Input filters miss slow multi-turn coaxing; output filters miss tool abuse. Depth is the product.
Where AI touches money, and what we do about it.
Send us your assistant. We'll show you what gets through.
A two-week adversarial assessment against your live AI flows — injection, exfiltration, tool abuse and model extraction — with findings mapped to the OWASP LLM Top 10.