The Runtime AI protection layer for payment apps.
Block attacks before it happens. No code rewrites.
Four blocks. One protected app.
Deploy the blocks you need — runtime defence, code hardening, silent identity, app attestation. All four report into the same signal engine, so what one block sees, the others start enforcing.
Your app defends itself while it runs.
A protection layer inside the running app watches its own execution — root, jailbreak, emulators, hooking frameworks, overlays — and acts in the attack's own thread.
Ship a binary that cannot be read.
Symbols renamed, control flow flattened, strings and keys encrypted at build time — so decompiling your APK or IPA returns noise, not your business logic.
Only your real app talks to your API.
Every request is cryptographically bound to a genuine, untampered install on a trusted device, so cloned apps, repackaged builds and bots stop at your edge.
Verify the number, not the OTP.
A carrier-network check confirms the number the user typed matches the SIM live in that device — a silent yes/no in seconds, with SMS fallback.
Tell a real customer from a script, in real time.
Behavioural, device and network signals score every session on your site and APIs — credential stuffing, card testing and checkout bots stop before they cost you.
The account stays the customer's, after login too.
Every login and sensitive action is checked against how that customer behaves — impossible travel, new device, stolen session, sudden payee changes — and stepped up.
We sit in the path, not in the model.
Every prompt, response and tool call is inspected in flight — prompt injection, data leakage and unsafe actions stopped in real time, with no retraining.
Know what a model does before it faces a customer.
Every model, fine-tune and prompt chain is red-teamed and scored before release and on each change — jailbreak resistance, leakage, hallucination and bias.
We sit in the path, not in the model.
Every prompt, response and tool call is inspected in flight — prompt injection, data leakage and unsafe actions stopped in real time, with no retraining.
Hard enforcement: the gate acts in the same turn — blocked, redacted or held for step-up before anything moves.
The same prompt, with and without us in the path.
A hijacked assistant does not look like an attack. It looks like a helpful reply and a completed transfer.
Built to satisfy the regulator, not just the security review.
Runtime controls, enforcement decisions and audit trails mapped to the frameworks Indian BFSI is examined against — a mandate becomes a report you export, not a project you staff.
Upload your app. See what an attacker sees.
A free binary analysis of your live APK or IPA — exposed logic, weak checks, missing runtime defences — reviewed with our engineers, no SDK required.