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RiskGuard AI
Explainable AI for payment fraud detection
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.
Hi Product Hunt! 👋
I built RiskGuard AI as a defensive payment-risk platform focused on detecting emerging fraud patterns before they become larger problems.
The project analyzes transaction behavior, detects fraud spikes, explains why transactions were flagged, and creates linked alerts and audit records.
I also included a held-out evaluation set so the detector's performance can be measured rather than relying only on demo results.
I'd love to hear your feedback on the product, the approach, and what you'd improve next!
About RiskGuard AI on Product Hunt
“Explainable AI for payment fraud detection”
RiskGuard AI was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #156 on the daily leaderboard. 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.
On the analytics side, RiskGuard AI competes within Fintech, Artificial Intelligence and GitHub — topics that collectively have 568.1k followers on Product Hunt. The dashboard above tracks how RiskGuard AI performed against the three products that launched closest to it on the same day.
Who hunted RiskGuard AI?
RiskGuard AI was hunted by Kencheshailaja. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of RiskGuard AI including community comment highlights and product details, visit the product overview.
Kencheshailaja