Top 2 Challenges for Adoption of AI Fraud Detection Technology

By: Nick Jones

Cybersecurity is a broad topic that encompasses a multitude of issues and vulnerabilities. From stealing consumer details through data breaches to infiltrating major elections, no area of the digital world is left unscathed.

Each of these unique vulnerabilities is also interconnected. Any time a cybercriminal can hack an account, leak sensitive information, or steal information for personal gain, it sends a message that such activities pay off and encourages fraudsters to test the boundaries to see how far their illicit activities can go.

If you conduct business online, it’s important to understand your responsibility — to your organization, your customers, and your stakeholders — to mitigate digital fraud.

AI is being increasingly developed to detect and prevent fraud, ideally before fraudulent activities occur. However, two key challenges prevent many companies from adopting advanced AI fraud detection technology. To learn about these & so much more read the blog on our site, plus schedule a demo with our team!