RiskGuard AI
Explainable AI for payment fraud detection
Details
- External ID
- 1244062
- Source
- PH
- Company
- —
- Product
- RiskGuard AI
- Website domain
- producthunt.com
- Launched
- Sept. 22, 2026
- Cohort
- —
- Upvotes
- 2
- Upvotes percentile
- 0.7405388069275176
- Tags
- Fintech, Artificial Intelligence, GitHub
- Fetched at
- Sept. 23, 2026, 1:01 a.m.
- Updated at
- Sept. 23, 2026, 1:01 a.m.
Description
RiskGuard AI is an explainable payment fraud detection system built to identify unusual fraud spikes and high-risk transactions. It combines feature-based risk scoring, historical baseline comparison, fraud-spike detection, alerts, transaction-level explanations, and an audit trail. The project also includes held-out evaluation with precision, recall, F1, and false-positive cost, plus a Razorpay Test Mode integration layer.
Enrichment
- Theme
- automated legal and compliance tools
- Vertical
- Fintech
- Function
- Compliance & governance
- Audience
- B2B
- AI stance
- AI-native
- Project type
- Commercial product
- Normalized one-liner
- explainable fraud detection for payment processors
- Manually corrected
- False
Could you build this?
Partial A demo dashboard with simulated SHAP explanations is easy to vibe code, but an actual payment fraud detection system requires real-time streaming feature stores, sub-100ms inference latency, and enterprise banking compliance.
What it would actually take: Production fraud detection requires a real-time stream processing architecture (e.g., Apache Flink, Kafka) to calculate velocity features and user baselines with sub-100ms latency. The ML stack typically employs gradient boosted trees (XGBoost/LightGBM) paired with fast TreeSHAP explainability algorithms, supported by continuous model retraining pipelines and strict PCI-DSS compliant infrastructure.
Competitors
Other products that read as similar to this one — 197 launches clear the similarity bar, closest 8 shown.
Attention rank: #31 of 198 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 315 days after the earliest competitor.
- ai-fraud-risk-engine · github · 2026-09-24 · 17 upvotes · similarity 0.68
- ScamShield · ph · 2026-09-23 · 2 upvotes · similarity 0.50
- LogosGuard: The risk management software for enterprises adopting AI · yc · 2025-11-11 · 231 upvotes · similarity 0.48
- BeeSafe AI — Fraud Prevention Platform for Trust-Based Scams · yc · 2026-02-06 · 21 upvotes · similarity 0.48
- Verdict Machine: AI cybersecurity for financial institutions’ digital assets · yc · 2026-08-17 · 24 upvotes · similarity 0.47
- Incandor - Behavioral intelligence for fraud detection · yc · 2026-05-21 · 32 upvotes · similarity 0.46
- Forensic-accounting-audit-shield · github · 2026-09-10 · 10 upvotes · similarity 0.45
- ContractGuard · ph · 2026-09-15 · 2 upvotes · similarity 0.45
Other launches for this product
- No other launches for this product.
Same idea, different domain
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