Identify the human,
eliminate the risk.
Introduce positive friction during "Revenge Trading" and prevent Account Takeovers (ATO) by authenticating human kinematics, not just the device.
The Blind Spot
The post-harm reaction.
In high-stakes financial environments, waiting for a bad outcome is no longer acceptable. Yet, traditional security and product tools are inherently reactionary.
Lagging Compliance
You lock a trading account after they have chased their losses. You block a transfer after the device ID is recognized as a known proxy.
This reactionary model is costing FinTech companies millions in compliance fines and fraud losses.
The Nx10 Solution
You can spoof an IP address, but you cannot spoof human emotion and subconscious kinematics.
The LFM knows exactly how a specific person holds their phone, the micro-tremors in their hands, and how their physical arousal changes under stress, delivering real-time anomaly detection.
The Ecosystem
Protect the user.
Secure the platform.
Risk & Fraud
Goal: Stop Account Takeovers (ATO).
When a hacker buys a session cookie and bypasses 2FA, the LFM detects that the new session's typing cadence mathematically does not match the real user's historical embedding. Instantly lock the account.
Compliance
Goal: Prevent reckless trading.
Retail traders often make catastrophic financial decisions when emotionally compromised. Prove to regulators that your app detects "Tilt" and injects friction to protect vulnerable users.
Product
Goal: Optimize KYC flows.
Users are abandoning your onboarding KYC process. The Affect Analyser reveals zero frustration, but a complete depletion of Brain Juice. The form isn't annoying - it's just mentally exhausting. Split the form into micro-steps.
The Playbooks
From science to systems.
How tier-1 financial platforms use nx10 to protect users and combat fraud.
Anti-Tilt (Revenge Trading)
A retail trader loses heavily on a volatile stock and immediately attempts a massive, highly leveraged options trade.
The Implementation:
If kinematics register extreme anxiety or "tilt" (aggressive screen pressure, high tremor) while a user is attempting a high-risk trade, the iOS SDK detects the SevereFrustration state. The app automatically introduces a mandatory 30-second "cool down" confirmation screen or requires an extra FaceID step, breaking the impulsive loop.
func attemptTrade() {
let state = Nx10.getCurrentSnapshot()
if state.category == .severeFrustration {
// User is tilting. Force friction.
requireFaceIDVerification() { success in
if success { executeOrder() }
}
} else {
executeOrder()
}
}
app.post('/nx10-webhooks', (req, res) => {
if (req.body.eventType === 'kinematic_anomaly') {
const userId = req.body.sourceId;
// Biometric mismatch detected
authService.lockAccount(userId);
alerts.notifySecOps("ATO Risk", userId);
}
});
Zero-Friction ATO Prevention
Hackers use residential proxies to bypass geolocation flags. But they can't spoof human behavior.
The Implementation:
The LFM triggers a kinematic_anomaly webhook if the current session interactions wildly deviate from the user's longitudinal embedding. The backend automatically suspends withdrawal capabilities until the user performs identity verification.
Ready to secure your application?
Get your API keys and deploy emotional analytics and advanced fraud protection today.
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