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Live product demos

Fraud Detection and Prevention Demos

Try live browser checks and example workflows for bots, repeat accounts and risky traffic. See the signals behind each result.

Browse use casesExplore the dashboardRun the Anonymity Checker

Choose a scenario to try

Each demo runs its own example flow. Open one to try the steps and see the identification behind the result.

  • Anonymity Checker

    Analyze your own browser with ShieldLabs identification and risk signals.

  • Coupon Fraud

    Protect campaign budgets from shoppers who apply the same coupon again and again from one device.

  • Credential Stuffing

    Protect your users against credential stuffing with a Device ID that stays the same for every login attempt from one browser.

  • Account Sharing

    Users who share their accounts cost you subscriptions and open security gaps.

  • Payment Fraud

    Identify the device behind every transaction. Link repeated card testing to one device, and stop buyers with a chargeback or stolen card history from paying again.

  • Loan Risk

    Check every loan application against earlier ones from the same device, whether the applicant is signed in or not.

  • Paywall

    Recognize returning readers, so free article limits hold and nobody reads past the limit you set.

  • Personalization

    Improve the experience and lift sales by personalizing your site for visitors who have not signed in.

  • Web Scraping Prevention

    Web scraping pulls your data with automated scripts, and data your competitors value is data they will try to take.

  • Bot Firewall

    Feed ShieldLabs bot detection into your web application firewall and block IP addresses linked to past bot visits.

  • SMS Pumping Fraud Protection

    Fraudulent verification texts can cost your business a fortune.

  • VPN Detection

    Detect visitors who hide their location behind a VPN, a proxy, or Tor, and apply regional pricing or content rules with confidence.

  • New Account Fraud

    Identify people who create fake accounts to reuse free trials. Limit how many accounts one device can open, and keep bots and risky browsers from signing up.

  • Ban Evasion

    Keep banned users out when they come back with a new account, cleared cookies, or a different IP address.

  • Account Takeover

    Stop account takeover even when the password is right: a leaked or stolen password from a device the account has never used gets a step-up check first.

  • Chargeback Dispute

    Keep the Device ID, IP address and country behind every order, so a disputed order can be shown next to earlier orders the same device placed and never disputed.

  • Survey Fraud

    Pay one reward per respondent on a paid survey, not one reward per email address.

  • Bonus Abuse

    Pay a welcome bonus once per person, not once per account. Bonus hunters open account after account to claim the same deposit match.

  • Promo Abuse

    Give new customers their first-order discount once. Repeat buyers come back with a new email address to get it again.

  • Referral Fraud

    Pay referral rewards for real new customers. Self-referrers invite their own second account to collect both sides of the reward.

  • Sybil Attack

    Keep an airdrop, a vote or a per-person quota to one claim per person. Sybil attackers switch wallets to claim again and again.