FRAUD · ABUSE · COMPLIANCE

Protect every interaction.
Across every industry.

Prynt's device intelligence platform powers fraud prevention, account security, and compliance workflows for teams of every size. One API, countless applications.

Start Building → Explore the API
Use Cases

One platform. Every fraud vector covered.

From payment fraud to account abuse, Prynt gives you the device-level intelligence to make real-time decisions at every critical interaction point.

💳

Payment Fraud Prevention

Stop chargebacks before they happen. Prynt detects card testing, stolen card usage, and transaction fraud by linking device identity to payment behavior.

Card testing and BIN attacks
Stolen credit card transactions
Friendly fraud / chargeback abuse
Promo code and coupon abuse
73%
Average chargeback reduction
reported by Prynt customers
🔑

Account Takeover Prevention

Detect unauthorized access attempts by comparing the device fingerprint against the account owner's known device history. Catch credential stuffing, session hijacking, and phished accounts.

Credential stuffing attacks
Session hijacking / token theft
Phished account logins
SIM swap / MFA bypass
94%
Of ATOs detected before account
damage occurs
👥

Fake Account Detection

Identify when the same person creates multiple accounts to abuse promotions, referral programs, or free trials. Device fingerprinting persists across email changes and incognito mode.

Multi-accounting and promo abuse
Referral and affiliate fraud
Free trial abuse / forever-free
Review and rating manipulation
89%
Of duplicate accounts caught
at registration time
🤖

Bot Protection

Block scrapers, automation frameworks, and headless browsers without CAPTCHAs. Prynt's six-layer bot detection catches everything from simple scripts to stealth-mode Puppeteer.

Content and price scraping
Ticket scalping and inventory sniping
Form spam and fake submissions
API abuse and rate limit circumvention
99.7%
Bot detection accuracy with
zero CAPTCHAs served
📱

Account Sharing Detection

Identify unauthorized multi-device sharing that violates your terms of service. Prynt tracks unique devices per account without relying on IP addresses, which miss shared-WiFi scenarios.

Password sharing across households
Credential reselling on marketplaces
License and seat limit enforcement
Concurrent session abuse
5.2x
More accurate than IP-based
sharing detection methods
📋

Compliance & KYC

Strengthen identity verification with device intelligence. Add a device-level trust signal to your KYC flow to catch synthetic identities, device farms, and users circumventing geographic restrictions.

Synthetic identity detection
Device farm identification
Geo-restriction enforcement
Sanctions screening augmentation
41%
Improvement in synthetic
identity detection rate
Industries

Built for the industries that need it most.

Prynt powers fraud prevention across verticals where trust, identity, and real-time risk decisions are critical to the business.

🛒

E-commerce

Reduce chargebacks, block promo abuse, prevent account takeover, and stop scraping of pricing and inventory data.

ChargebacksPromo abuseScraping
🏦

Fintech

Add device trust to onboarding, detect account takeover on banking apps, and satisfy regulatory requirements for device-level KYC.

KYCATODevice trust
🎮

Gaming

Prevent multi-accounting, detect cheaters using emulators, block real-money trading bots, and enforce regional licensing.

Multi-accountingEmulatorsRMT
✈️

Travel

Stop fare scraping, prevent loyalty program abuse, detect point-of-sale fraud, and block automated booking bots.

Fare scrapingLoyalty fraudBots
🪙

Crypto

Enforce geo-restrictions for regulated exchanges, detect wash trading, prevent airdrop farming, and satisfy OFAC compliance.

Geo-fencingWash tradingOFAC
How It Works

From integration to protection in 4 steps.

Prynt fits into your existing workflow without rearchitecting anything. Add a script tag, call the API, and start making decisions.

STEP 01
🔌

Add the SDK

Drop a lightweight JavaScript snippet or install a native mobile SDK. Three lines of code, 12KB gzipped, zero dependencies.

STEP 02
🔎

Identify Visitors

The SDK collects device signals and generates a stable visitor ID. No PII, no cookies, no CAPTCHA. Works in incognito mode.

STEP 03
📈

Enrich with Signals

Prynt returns 40+ smart signals -- bot detection, VPN status, device age, incognito mode, location spoofing, and more -- in real time.

STEP 04

Act on Risk

Use signals in your rules engine, risk models, or manual review queues. Block, challenge, or allow -- the decision is always yours.

Signals

40+ signals powering every use case.

Every identification returns a rich set of device, network, and behavioral signals. Use any combination to build custom risk policies.

🔑

Device Fingerprint

Stable identifier that persists across sessions, incognito, and cookie clearing

🤖

Bot Detection

Six-layer classification: automation, headless, scraper, credential stuffing, API abuse

🛡

VPN / Proxy

Detect VPNs, proxies, Tor, datacenter IPs with provider identification

🌎

Geolocation

IP and browser timezone comparison, location spoofing detection

👀

Incognito Mode

Detect private browsing across Chrome, Firefox, Safari, and Edge

📱

Device Age

First-seen and last-seen timestamps to distinguish new vs. returning devices

🎨

Tampering Detection

Canvas, WebGL, and user agent spoofing detected in real time

🔒

Sealed Results

Encrypted, tamper-proof response that only your server can decrypt

Customer Stories

How teams use Prynt.

Real results from teams that replaced manual review, legacy fraud tools, and CAPTCHA-based blocking with Prynt's device intelligence.

"We were losing $180K per month to chargeback fraud. After deploying Prynt on our checkout flow, we could see that 68% of fraudulent transactions came from devices that had previously been flagged. Chargebacks dropped 73% in the first month -- without adding any friction to legitimate customers."
73%
Reduction in chargebacks
"We had a credential stuffing problem that our WAF couldn't solve -- attackers were using residential proxies and stealth browsers. Prynt's device fingerprint linked 12,000 login attempts to just 47 devices. We blocked the devices, not the IPs, and the attack surface collapsed overnight."
99.4%
ATO attempts blocked
"Our referral program was being exploited by users creating hundreds of fake accounts from the same device. Traditional email and phone verification couldn't stop them. With Prynt, we detect 89% of duplicate accounts at registration -- before they claim a single referral credit."
$420K
Annual savings from promo abuse prevention

See what Prynt can do for your team.

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