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Fraud costs banks $42B annually, while outdated security annoys users with endless CAPTCHAs. We built AI that analyzes how you interact—not just what you do—to stop criminals without disrupting legitimate users.
🔍 What It Does Real-time behavioral fingerprinting that: ✅ Detects fraud before transactions complete (92% accuracy) ✅ Analyzes 50+ micro-patterns (keystroke cadence, mouse movements, scroll behavior) ✅ Adapts to new attack patterns in <24 hours ✅ Reduces false positives by 60% compared to rule-based systems
How we built it Flask + React with Isolation Forest ML model, trained on keystroke dynamics datasets.
🌐 What’s Next Short-term: Add voice pattern analysis for call center fraud detection Patent pending on our adaptive threshold algorithm Long-term Vision: "Become the Stripe Radar for behavioral fraud—protecting $1T+ in annual transactions by 2027"
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