Account creation abuse

Stop account creation abuse—without blocking real users

Detect and block bots, free trial abuse, and multi-account attacks with unmatched device intelligence.

Account creation abuse

Don’t let fake accounts wreak havoc on your app

Free tier resale

Stop attackers from reselling your AI and LLM free trial credits, while protecting your growth strategy for real users.

Secure device-fingerprinting

Compute abuse

Prevent developer-infrastructure or cloud tooling from being hijacked for cryptomining or GPU workloads that you pay for.

Multi-factor authentication

Toll-fraud loops

Stop paying thousands of dollars in fraudulent SMS pumping or SIP toll fraud every month.

Bot protection

Account farming

Keep bots from creating millions of dormant fake accounts stockpiled for future spam, phishing, and propaganda.

Email authentication

The cost of fake accounts

Ecosystem: Chargebacks, fines, regulatory scrutiny, and damaged partner reputation.

Growth: Skewed metrics, inaccurate forecasts, and low real-user conversion.

Brand: Eroded customer trust and increased attacks from bad actors who realize you're an easy target to exploit.

The strain on your engineering team

Alerts and capacity spikes that consume engineering cycles and mask real growth.

Hours lost tuning IP blocks, writing ad-hoc rate-limit scripts, and parsing risk scores.

Fragile integrations across WAF, CAPTCHA, and in-house scripts that still miss sophisticated bots.

Stop bots and bad actors automatically— before they sign up

Identify even the most sophisticated attackers. Stytch fingerprints are stable, resistant to evasion and reverse engineering, and designed to preserve user privacy.

Embeddable admin portal for Stytch

The Stytch difference

99.99% accurate and reverse engineering resistant

Unique fingerprint from browser, hardware, and network signals—even behind VPNs and headless browsers.

Tamper-proof using obfuscated JS/WebAssembly plus client-side encryption to block anti-detect tools and fingerprint switchers.

Deterministic verdicts (ALLOW/BLOCK/CHALLENGE) in <100 ms, giving clear actions, not fuzzy risk scores.

Intelligent Rate Limiting stops attackers, not users

Device-aware anomaly detection throttles abusive devices only, without punishing everyone on the same network.

Escalating friction moves from challenge to timed ban as abuse persists—no rule-tuning marathons.

Traffic-adaptive thresholds learn your normal peaks, so promos or launches aren’t mistaken for attacks.

Robust auth with strong, invisible CAPTCHA

Device-bound CAPTCHA ties each challenge to one fingerprint, defeating proxy solvers and CAPTCHA farms.

Invisible to over 99% of good users; only suspicious traffic sees extra friction.

Flexible integration protects any sign-up, login, or critical action via API/SDK.

Custom rules & API-first control

Granular overrides: whitelist QA scripts, ban a fingerprint, or force MFA with a single call.

Live dashboards & webhooks stream verdicts so you can tweak rules and watch impact instantly.

Rich JSON payloads let you feed fingerprint data into billing, analytics, or SIEM tools for deeper insights.

In my first month, we were hit with daily waves of spam signups. I realized that if I could block those at the source, I wouldn’t have to deal with the downstream abuse they caused after getting into the system.

Replit

In my first month, we were hit with daily waves of spam signups. I realized that if I could block those at the source, I wouldn’t have to deal with the downstream abuse they caused after getting into the system.

Replit
Edgar Hernandez
Anti-Abuse Engineer