Loyalty Fraud Detection Software
Real-time protection for rewards programs, from points theft to fake account creation.
Our loyalty fraud detection solution analyzes transactions and member behavior continuously to stop abuse before it erodes the value your program is built on and the trust your customers have placed in it, without adding friction for the genuine members who drive your business.
Why it matters
Loyalty programs have become a high-value fraud target, and manual monitoring cannot keep up
Points represent real monetary value. Fraudsters know it, and they have developed increasingly sophisticated techniques to exploit it. The programs most at risk are those still relying on reactive, manual controls.
Loyalty programs are an increasingly attractive fraud target
Fraudsters target rewards programs to steal accumulated points, create synthetic member accounts, and exploit program mechanics in ways that generate real financial value. As programs grow in scale and points become more convertible to cash equivalents, the incentive to attack them increases proportionally.
Program abuse carries financial and reputational consequences
Fraudulent point accumulation and unauthorized redemptions generate direct financial losses, but the reputational damage can be more lasting. Members who discover their accounts have been compromised, or who see program value diluted by abuse at scale, lose confidence in the brand the program is designed to reinforce.
Manual monitoring cannot scale with member volumes or evolving tactics
Manual review processes cannot keep pace with the transaction volumes, member activity levels, and tactical evolution that characterize modern loyalty fraud. Fraudsters adapt quickly when controls are static; a program that relies on rule updates and human review to respond to new tactics will always be a step behind.
How it works
Member behavior to case resolution, in one connected workflow
Four integrated capabilities cover the full detection lifecycle, from tracking the signals that indicate abuse through to scoring, alerting, and managing the cases that require investigation.
Member Behavior Analysis
The system tracks redemption frequency, point accumulation, account activity patterns, and unusual transactions to detect non-standard member behavior. Legitimate members behave consistently within the norms of their tier, history, and engagement level; fraud accounts generate patterns that deviate from those norms in ways that are detectable and actionable.
Adaptive Alerting Engine
Customizable policies trigger alerts, hold points, or block redemptions automatically when risk thresholds are met. Responses are proportionate to the risk score, so genuine members in low-risk scenarios experience no disruption while high-risk events are challenged or stopped immediately without requiring manual intervention at each step.
Transaction and Reward Scoring
Each points event receives a risk score based on purchase value, location, time, channel, and velocity of activity. Scoring reflects the combination of signals around a transaction rather than any single factor, which is what makes it effective against fraud techniques specifically designed to keep individual events below alert thresholds.
Unified Investigator Hub
Fraud analysts can view member profile, redemption history, device context, and transaction detail to review alerts and manage cases from a single interface. The full picture of a member’s activity and the signals that triggered an alert is assembled automatically, so investigators can reach a resolution without piecing together data from multiple systems.
What sets us apart
Connects to your platform, configured by your team, transparent to your auditors
Skylight integrates with loyalty platforms via API and SDK without heavy development work, lets business teams manage risk logic without engineering support, and makes every detection decision fully explainable to investigators and auditors alike.
Loyalty fraud detection is only as effective as its integration with the platform generating the data. A system that operates on delayed or incomplete feeds introduces gaps that determined fraudsters will find and exploit. Skylight is designed to connect directly to your program’s live data, so detection is immediate rather than retrospective.
Fast API and SDK integration with loyalty platforms
Integration through APIs and SDKs connects the system quickly to loyalty platforms without significant development overhead. Skylight slots into the data flows your program already generates, so your fraud detection capability is active quickly and without disrupting the member experience your platform is built around.
Business-team rule and threshold management
Business teams can adjust risk models and alert thresholds without code changes, keeping detection logic aligned with the fraud patterns currently targeting your program. New tactics can be addressed with a configuration change rather than a development sprint, which matters when the gap between a new attack and your response determines how much is lost.
Cloud-native and membership-scale ready
The cloud-native architecture scales automatically with program membership growth, handling volume increases during promotional periods, partner integrations, and long-term membership expansion without performance degradation or manual capacity planning from your operations team.
Transparent risk triggers and decision logic
All risk triggers and decision logic are transparent to support audit trails and investigator review. When a member account is flagged or a redemption is blocked, the specific signals that drove that decision are available in plain language, giving investigators the context to act confidently and auditors the documentation to verify controls are operating as intended.
Use cases
Every loyalty fraud scenario, covered end to end
From points theft and account takeover to fake membership networks and high-value redemption abuse, Skylight addresses the full range of fraud risks that rewards programs face at scale.
Points theft prevention
Block suspicious point accumulation and transfer patterns before they result in extractable value leaving the program. Fraudsters who target point balances often operate across multiple accounts and redemption channels simultaneously; Skylight surfaces the cross-account patterns that make coordinated theft visible before it completes.
Account takeover mitigation
Monitor login and redemption patterns to identify account takeover attempts before points are moved or redeemed by an unauthorised party. A genuine member returning to their account behaves consistently with their history; an attacker using compromised credentials does not, and that difference is detectable from the first session interaction.
Fake membership detection
Identify synthetic or duplicate accounts based on the behavioral links between them, including shared devices, overlapping redemption patterns, and coordinated accumulation activity. Fake memberships created at scale to exploit sign-up bonuses or referral mechanics generate consistent and detectable signatures across the account network they form.
Redemption risk control
Monitor high-value and bulk redemptions across brokering networks where points are converted to cash equivalents or resold outside the program’s intended mechanics. Redemption patterns inconsistent with a member’s earning history or typical behavior within their tier are flagged for review before value leaves the program in a form that cannot be recovered.
Start defending your loyalty program with advanced fraud detection
Request a demo, begin a trial, or speak with one of our loyalty risk specialists about the fraud risks your program is facing today.
