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Fraud Detection for Fintech

Stop Synthetic Identity Fraud & Fake Account Creation

Fintech platforms are prime targets for synthetic identity bots that pass KYC then drain accounts. Sentinel detects fraud at the device layer — before identity verification even begins.

< 40msResponse time globally
Free1,000 req/hr, no credit card
0CAPTCHAs required
400+Device signals per session

What Fintech platforms face in 2026

Synthetic identity bots passing KYC

AI-powered bots submit fake identity documents and pass automated KYC checks. By the time fraud ops investigates, ACH transfers have already cleared.

Fake account farming for bonus abuse

Attackers use antidetect browsers and residential proxies to create hundreds of accounts, claim signup bonuses, and cash out — each account appearing as a unique legitimate user.

Account takeover via credential stuffing

Bots using rotating residential proxies test millions of leaked credential combinations against login forms — invisible to IP-rate-limiting defenses.

Money mule account networks

Coordinated fake accounts that look unrelated are actually linked through device fingerprints. Traditional fraud tools miss the connection; Sentinel surfaces it.

What Sentinel does for you

  • Detect automation and bot signals before KYC submission
  • Identify antidetect browsers used to spoof device identity
  • Stop credential stuffing without blocking legitimate login attempts
  • Link fake account networks by device fingerprint across different IPs
  • Score sessions in under 40ms — fast enough for any real-time decisioning flow

Where Sentinel fits alongside identity verification

Sentinel is not an identity verification provider — it's the fraud-prevention layer that sits in front of one. Fintechs and financial institutions typically pay their identity verification API per check: document verification, biometric liveness detection, database lookups. When bots and synthetic identities flood customer onboarding, you pay full price to verify applicants that were never real. Sentinel risk-scores every signup in real time — under 40ms — before the expensive verification step, so automated fraud never reaches your KYC flow. Genuine applicants sail through automated identity verification, manual reviews shrink, and regulatory compliance gets easier because synthetic identities are filtered at the front door.

97%

reduction in fake account fraud at a fintech — $180K/month loss cut to near zero

[ Read Full Case Study ]

Where the check goes

The highest-value call sites: onboarding start (before KYC spend — every synthetic applicant you screen out saves a verification fee) and login (where account takeover happens). Many teams also re-evaluate at sensitive actions like payout changes and beneficiary additions.

// Screen applicants before paying for KYC verification
const res = await fetch('https://sntlhq.com/v1/evaluate', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer ' + process.env.SENTINEL_KEY,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({ token: req.body.sentinel_token })
});
const risk = await res.json();
if (risk.decision === 'block') return res.status(403).json({ error: 'Application declined' });
if (risk.decision === 'review') flagForReview(risk.reasons);

The signals that matter for fintech

Anonymizers at onboarding are not the same as anonymizers at login. A privacy-conscious customer logging in over a VPN is normal. A brand-new applicant starting KYC behind a residential proxy is a review-tier event — proxy-masked onboarding is the front door of synthetic identity fraud. Sentinel returns the raw signals so your policy can treat those two moments differently.

Devices expose synthetic identities. Fabricated identities pass document checks precisely because the documents are consistent. What isn't consistent: the same hardware opening accounts for six "different people". The cross-account device graph catches what the KYC vendor structurally cannot.

Session integrity against account takeover. Device-bound session signals plus re-evaluation at sensitive actions mean a stolen session cookie stops being enough — the attacker's device doesn't match the session's history, and the risk score reflects it in real time.

An audit trail your compliance team can use. Every verdict comes with its reasons — the flags that fired and the score they produced — so blocked applications and step-up decisions are explainable in reviews rather than "the model said so".

Common questions

How does Sentinel detect synthetic identity fraud?
Sentinel fingerprints the device, network, and behavioral layer — over 400 signals per session — before KYC begins. Automation, antidetect browsers, and residential-proxy traffic are flagged in under 40ms, stopping synthetic identities at the front door rather than after funds have moved.
Will Sentinel block real customers using VPNs?
No. Sentinel returns a risk score instead of a block decision. Fintechs typically allow low-risk VPN traffic but trigger step-up verification (2FA, document check) on high-risk sessions — preserving conversion while cutting fraud.
Is Sentinel compliant with financial regulations?
Yes. Sentinel processes device and network signals only — no PII is required. Data is encrypted in transit and at rest, and the API supports GDPR, PSD2-SCA, and standard KYC/AML pipelines.
How fast can a fintech integrate Sentinel?
Most teams ship a working integration in under an hour. Drop the JS tag on signup and login flows, then call the REST API for the risk score. SDKs exist for Node.js, Python, PHP, Ruby, Go, and Java.
What results have fintechs seen with Sentinel?
A fintech customer cut fake-account fraud by 97%, moving from $180K/month in losses to near zero within 30 days of deployment. False-positive rates stayed below 0.3%.

Start protecting your fintech platform

Free tier. 1,000 API requests per hour. No credit card. Detects residential proxies, antidetect browsers, and AI bots.

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