Rapid Fraud Adaptation Fraud Evolves Daily. So Should Your Defense.
Fraud isn’t static – it adapts, evolves, and exploits gaps in slow-moving fraud prevention systems. Yet, most businesses rely on fraud tools that take months to update because they depend on third-party technology stacks.
By the time these solutions react, fraudsters have already moved on to the next attack vector.
With new deepfake techniques, synthetic identities, and AI-driven fraud emerging daily, relying on outdated fraud prevention isn’t just inefficient – it’s a liability.
Why Traditional Fraud
Prevention Fails
86% of businesses faced fraud-related challenges in the past year due to slow response times and outdated security measures.
AI-enabled fraud is projected to surge from $12.3 billion in 2023 to $40 billion by 2027, growing at a 32% compound annual rate.
Deepfake technology was nearly non-existent in 2015, yet by 2023, over 60% of all known deepfake tools had been developed, making fraud detection increasingly complex.
Incode: AI That Adapts in Real-Time
Real-Time Fraud Detection
Identify and stop emerging fraud tactics before they impact your business.
Instant Model Retraining
Our AI continuously refines detection based on real-world fraud patterns.
No Third-Party Delays
Full ownership of the technology means fraud updates are immediate.
Surgical Fraud Prevention
No unnecessary friction, no blocking of legitimate users, just precise, adaptive security.
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