AI & Fraud

2 Apr

Which Facial Recognition Algorithms Actually Deliver on Accuracy Claims

New testing reveals many facial recognition algorithms fall short on real-world accuracy, raising concerns over security, bias, and regulation gaps.

31 Mar

No-Code Orchestration: The Deployment Speed Advantage in Enterprise IDV

Enterprises adopting no-code orchestration in IDV gain faster, scalable deployments—closing gaps that slow traditional integration methods.

11 Mar

How Identity Fraud is Increasing in The Age of AI

AI-driven tools are fueling a surge in identity fraud, making deepfakes and data breaches harder to detect and intensifying global security risks.

15 Feb

Enterprise OCR in 2026: From Simple Text Extraction to Fraud-Aware Document Intelligence

In 2026, enterprise OCR evolves beyond text capture into AI-driven document intelligence, tackling fraud and compliance risks head-on.

15 Feb

AI-Driven OCR Accuracy: How Intelligent Document Processing Is Reducing Manual Review

AI-driven OCR is cutting manual document checks, boosting data accuracy and speed while redefining efficiency for digital transformation.

2 Feb

Identity Continuity: Why Businesses Must Verify Users Throughout the Entire Customer Lifecycle

Continuous identity verification is vital as evolving fraud tactics target every stage of the customer journey, putting trust and revenue at risk.