Loyalty Fraud Prevention
Loyalty fraud prevention.
Reward genuine members.
Repeat enrollment and account takeovers put loyalty rewards at risk. ShieldLabs detects account abuse and bots, helping you protect member balances and stop repeat welcome claims.
Start FreeWelcome to rewards
Benefits for loyal members.
Anti-Detect BrowserProxy
Protect enrollment rewards
Reveal linked memberships claiming the same introductory benefit.
Protect member balances
Help stop account takeover from abusing saved points and rewards.
Stop automated reward abuse
Detect bots at reward requests to protect program resources.
Welcome genuine members
Keep genuine members moving through reward access with less friction.
Repeated member enrollment
Protect welcome rewards.
Stop repeat enrollments.
Repeated memberships can be used to claim welcome points and perks again. ShieldLabs detects multi-accounting to help keep enrollment rewards for new members.
Account security before redemption
Protect earned rewards.
Stop account takeovers.
ShieldLabs detects account takeover behind loyalty points fraud, protecting member rewards before redemption, transfers or account-profile changes.
Stop automated reward access
Detect bots reaching member sign-in and redemption flows.
Expose disguised redemptions
Detect proxies and anti-detect browsers around reward requests.
Welcome trusted members
Keep low-risk members moving with ready-made risk assessments.
The ShieldLabs platform
More than a points balance.
The account activity around rewards.
Combine multi-accounting and account takeover detection with identification, device and network intelligence, bot detection, risk signals and traffic quality analytics.
Enterprise-level functionality. Without enterprise pricing.
Accurate identification
Recognize returning visitors even when they clear cookies, use incognito mode or change their IP address. Detect linked users with different email addresses.
Identification accuracy
High-Risk Event detection
Detect account abuse out of the box by automatically identifying linked users. No fraud model training is required.
Risk signals
Get ready-made detections of automation, masking and spoofing, with named risk signals behind each result.
Bot & AI traffic detection
Detect bot activity from browser automation signals. Recognize useful crawler and AI traffic alongside abuse detections.
Risk scoring
Score every visit from 0 to 100 and classify it as trusted, suspicious or dangerous. See the signals behind each score.
Device fingerprinting
Recognize devices by their fingerprints. Identify the browser, operating system and device type. Detect headless browsers and tampering.
IP & Network Intelligence
Reveal the real IP address and geolocation behind masking. Detect VPNs, proxies and private relays.
203.0.113.42198.51.100.23Traffic quality scoring and risk analytics
Get one score for all your traffic and ready-made quality results by source, channel, referrer and UTM campaign.
Analytics dashboard
Investigate member activity.
Follow the risk around rewards.
Get linked-user detections, account takeover detections and ready-made risk assessments around loyalty activity. Results can be integrated with your program’s points and redemption records.
How it works
Start protecting your product.
Connect once and start receiving ready-made fraud and abuse detections.
- 01
Add the snippet or SDK
Connect your product and start identifying visitors and users.
- 02
Receive ready-made detections
Get detected fraud and account abuse in the dashboard or through API integrations.
- 03
Prevent fraud and abuse
Protect customer accounts, paid access and signup incentives in your product.
Developers
Integrate in
5 minutes.
A single API to identify, detect and score. Receive risk data through API responses and webhooks. Integrate selected data points into your business logic to prevent fraud and abuse.
Protect your users and product
Make abuse visible.
Keep genuine users moving.
Start Free FAQ
Understand the evidence.
Put it to work.
What is loyalty fraud?
Loyalty fraud is the misuse of a rewards program, including repeated membership incentives or unauthorized access to another member’s points and rewards.
How does ShieldLabs help prevent loyalty fraud?
ShieldLabs detects multi-accounting, account takeover and bots around member enrollment and redemption. Help protect welcome rewards, member access and saved reward value.
Which loyalty fraud scenarios does this address?
Linked memberships can reveal repeated enrollment rewards, while account takeover detections can expose risky access to an existing member account. Join these results with the relevant reward and redemption history in your product.
Does ShieldLabs calculate points or detect balance manipulation?
Points balances, earning rules, transfers and redemption records are supplied by your loyalty program. ShieldLabs supplies identity, risk and account abuse context around the member’s web activity.
How do I connect member activity to ShieldLabs?
Pass your registered member account identifier when available. Your loyalty program retains its reward and entitlement records.
Can detection protect reward transfers and account changes?
Yes. Account takeover and bot detections help protect member access before points transfers, redemption and sensitive account changes. Multi-accounting detection helps protect repeated membership incentives.