BricqsBricqs
Fair Play & Anti-Fraud

Keep engagement fair, secure, and abuse-resistant.

Protect campaign integrity with layered anti-abuse controls, real-time risk scoring, and transparent enforcement logic. Every reward decision is validated against eligibility rules before issuance — and every enforcement action is logged with auditable evidence.

An agentic fraud prevention layer that monitors participation patterns, detects abuse in real time, and enforces fairness policies autonomously — protecting reward economics and participant trust without manual review bottlenecks.

bricqs.co/fair-play
Duplicate detection
94%
Bot prevention
12.4k
Suspicious activity monitoring
847
Recent Activity
Entry validated
Bot blocked
Risk flagged
Reward verified
Progression
75%
Fraud detection
Defense Status
99.7%
Clean rate
342
Bots blocked
0
Incidents

How fair play & anti-fraud works

Layered defense that validates every interaction before it can affect outcomes or claim rewards.

FEntry submittedRReward claimedMScore postedRReferral madeAPIStream →847events/hr
1

Monitor Activity

Track participation velocity, submission patterns, and behavioral signals across every campaign interaction. The engine builds risk profiles per participant by correlating activity across sessions, devices, and identities.

EventAGENTIC ENGINEDetectScoreBlockVerifyIF✅ Clean⚠️ Flag🚫 Block
2

Score & Evaluate Risk

Apply real-time risk scoring using configurable rules — rate limits, duplicate detection, velocity checks, and heuristic signals. Each interaction receives a risk score that determines whether it passes, gets flagged, or is blocked automatically.

VMonitorDDetectEEnforceFAuditFairLoop99.7%clean rate<0.1%false positive100%auditable
3

Enforce & Audit

Block fraudulent entries, flag suspicious activity for review, and validate reward eligibility before issuance. Every enforcement decision is logged with the triggering evidence and rule reference — ready for dispute resolution or compliance audit.

Without this engine

Why traditional approaches fail

These are the patterns teams hit when they try to build engagement without a purpose-built engine.

Duplicate and bot entries distort campaign outcomes — leaderboard rankings, winner selection, and engagement metrics become unreliable when fraudulent participation goes undetected.
Reward abuse directly increases program cost and erodes trust — multi-account farming, scripted entries, and referral fraud drain reward budgets while legitimate participants lose confidence in fairness.
Manual fraud checks are slow, inconsistent, and don't scale — human reviewers can't keep pace with real-time campaign activity, and subjective judgment leads to inconsistent enforcement.
Dispute resolution collapses without auditable evidence — when a participant challenges a disqualification or a reward denial, teams scramble to reconstruct what happened without structured logs.
!Teams over-block legitimate users because weak detection confidence forces conservative thresholds — false positives frustrate real participants and reduce campaign engagement.

How Bricqs solves it

Four capabilities that replace fragmented tools with a unified engagement engine.

01

Duplicate detection

Detect repeated or suspicious submissions across identities by correlating session fingerprints, device signals, email patterns, and behavioral similarities. The engine identifies multi-account abuse and linked entries that simple uniqueness checks miss.

ReceiveValidateScore riskDecideAudit

Cleaner participation data with duplicate entries caught before they affect leaderboards or winner selection.

02

Bot prevention

Apply layered rate controls, velocity limits, and behavioral heuristics to identify and block automated abuse. Per-minute, per-hour, and per-day activity thresholds catch scripted entries while allowing legitimate burst behavior during campaign launches.

DupesBotsVelocityPolicyRiskEngine

Automated abuse is blocked at the entry point — before it can accumulate points, distort scores, or claim rewards.

03

Suspicious activity monitoring

Flag high-risk behavior for automated or manual review using configurable risk signals — sudden rank jumps, unusual completion speeds, geographic impossibilities, and abnormal scoring patterns. Flagged entries are quarantined without affecting the participant experience for legitimate users.

PassLowReviewMediumFlagHighBlockCriticalDenyBanned

Risk response time drops from days to minutes because the system surfaces problems before they compound.

04

Reward validation and enforcement

Validate eligibility against program policies before any reward is issued — budget caps, claim limits, cooldown periods, geographic restrictions, and tier requirements. The engine enforces rules consistently across every redemption channel and every campaign surface.

Rate limit100/hrRisk thresholdScore 7Block after3 flagsLIVE

Every reward claimed has passed eligibility validation — creating trust in outcomes for participants and financial predictability for program operators.

Key capabilities

Everything fair play & anti-fraud gives your team out of the box.

Try it free

Duplicate detection

Identify repeated or linked participant attempts across sessions, devices, and identities. Correlate behavioral patterns that indicate multi-account abuse beyond simple email or IP matching.

Reward validation

Validate eligibility against program rules before any incentive is issued — budget caps, claim limits, cooldown periods, tier requirements, and geographic restrictions enforced automatically.

Bot prevention

Block automated abuse with layered rate controls — per-minute velocity limits, per-hour activity caps, and behavioral heuristics that distinguish scripted entries from legitimate burst participation.

Duplicate detection
Bot prevention
Velocity limits
Risk scoring
Live monitoring
0 incidents today

Rule enforcement

Apply fairness policies consistently across all entries and all campaign surfaces. Rules are versioned and participants are always evaluated against the policy active at the time of their action.

Audit logging

Maintain full traceability for every enforcement decision — blocked entries, flagged activities, reward denials. Each log includes the triggering evidence, rule reference, and timestamp.

Suspicious activity monitoring

Flag risk behavior using configurable signals — rank jumps, completion speed anomalies, geographic impossibilities. Quarantine flagged entries for automated resolution or manual review.

Audit Log
10:42Entry validated
10:38Bot detected
10:35Risk scoredLow

Built for real scenarios

Teams across industries use fair play & anti-fraud to power these outcomes.

Contest Integrity

Prevent spam entries, bot submissions, and multi-account abuse from distorting contest outcomes. The engine validates entries in real time, enforces eligibility rules, and ensures winner selection reflects genuine participation — critical for regulated promotions and public-facing competitions.

Loyalty Abuse Control

Detect multi-account reward farming, scripted point accumulation, and referral fraud that drains loyalty program budgets. Velocity checks and behavioral correlation catch patterns that simple uniqueness constraints miss — protecting reward economics without over-blocking legitimate members.

Compliance-ready Promotions

Maintain auditable records for regulated campaigns where winner selection, eligibility verification, and prize distribution must be demonstrably fair. Every entry, evaluation, and enforcement action is logged with evidence and rule references for regulatory review.

Partner Program Fairness

Enforce fair scoring and reward distribution across B2B partner programs where participants have incentives to game the system. Detect suspicious activity patterns — bulk registrations, score manipulation, fake referrals — and enforce program integrity without damaging partner relationships.

Agentic fraud prevention

AI agents monitor participation patterns continuously, evaluate risk in real time, and enforce fairness policies without manual review gates — human oversight is available for edge cases, not required for every decision.

Activity submitted
Entry, claim, score, or login
Risk engine evaluates
Dupes, velocity, behavior signals
Decision enforced
Allow, flag, or block automatically
Audit recorded
Evidence logged for review
Risk scoring workflows assign a real-time risk level to every campaign interaction based on velocity, behavioral signals, and historical patterns — high-risk entries are automatically quarantined or blocked.
Auto-block thresholds enforce configurable limits on per-user, per-device, and per-IP activity rates. The engine blocks abuse at the entry point without affecting legitimate participants who stay within normal patterns.
Escalation conditions route edge cases to human reviewers with full context — the flagged activity, the triggering signals, the participant's history, and the recommended action — so reviewers make informed decisions quickly.

Enterprise-grade fairness controls

Operate fair play programs at scale with consistent policy enforcement, comprehensive audit trails, and configurable review workflows that satisfy regulatory requirements.

Every enforcement decision — blocked entry, flagged activity, reward denial, or disqualification — is logged with the triggering evidence, applicable rule version, and timestamp for compliance review.

Policy-driven enforcement applies the same fairness rules consistently across every participant, every campaign, and every surface — eliminating subjective judgment and ensuring equal treatment.
Investigation traces provide complete activity timelines for any participant — every submission, score event, flag, and enforcement action — enabling fast dispute resolution with evidence.
Program-wide consistency means the same anti-fraud rules apply whether a participant enters via microsite, embed, app, or API — no channel-specific gaps for abuse to exploit.

Analytics & outcomes

Track abuse patterns, measure defense effectiveness, and tune detection thresholds — balancing fraud prevention with participant experience.

Fraud attempt rate and detection metrics show how much abuse the system catches, what types are most common, and whether attack patterns are evolving — informing rule updates.
Blocked action distribution reveals which campaigns, entry points, and participant segments are most targeted — helping teams prioritize protection where it matters most.
False positive trend tracking monitors how often legitimate participants are incorrectly flagged or blocked — ensuring detection thresholds protect without over-restricting honest engagement.

Integrations

Feed risk signals into your security stack, ops workflows, and compliance systems with real-time event delivery and programmatic controls.

Fraud webhooks push risk events — blocks, flags, disqualifications — to your security operations center, incident management tools, or custom review workflows in real time.
Risk event streams provide a continuous feed of fraud signals and enforcement actions for integration with analytics platforms, SIEM systems, and compliance reporting tools.
API controls for programmatic review let your team build custom review workflows, override automated decisions, and manage participant appeals through standard REST endpoints.