Based on verified customer reviews, Appdome, a leading provider of mobile fraud detection and prevention for Android and iOS apps, has been recognized as a Quadrant Leader in Fraud Detection. This marks a 16-position increase and two new badges in the category, following its G2 Momentum Leader recognition in Mobile Data Security, RASP, and Application Shielding. Appdome’s growth and adoption in this area have been credited with its multi-year leadership and development.

“Digital trust and identity protection require a solution that combines security and fraud telemetry into one unified risk engine for the mobile business,” said Tom Tovar, CEO and Co-Creator of Appdome. “This recognition proves what customers already know – Appdome is the only solution that can bring all the relevant threat signals together in one unified stream and give mobile brands a lasting advantage against fraud.”

Concerns from mobile brands and consumers surrounding mobile fraud and scams are at an all-time high. By 2024, 58% of consumers cited mobile fraud as their top cybersecurity concern, with over 40% reporting firsthand or secondhand experience with mobile device scams, malware, or cyberattacks. For good reason, mobile users are increasingly worried about account takeovers (ATOs), deepfake attacks, and social engineering scams. ATO rates surged 24% year-over-year, and deepfake fraud attempts skyrocketed by over 2,000% in just the past three years. These trends reflect a growing threat landscape where stand-alone security or fraud detection and prevention products are no longer enough to safeguard users in the mobile-first world.

Since its debut in 2023, Appdome’s fraud detection and prevention solution has been recognized by both customers and industry experts, including:

  • G2 Customer Reviews have named Appdome a Leader in Fraud Detection for 18 months.
  • Appdome was awarded multiple Global InfoSec Awards for AI defenses, ATO protection, and fraud prevention at the RSA Conference 2025.
  • Appdome was also honored with the InfoSec Innovator Awards in Fall 2024 and by leading industry-analyst firm Intellyx in Spring 2024 for fraud prevention.

“Fraud Detection and Prevention is a critical pillar in digital trust and identity protection,” said Chris Roeckl, Chief Product Officer at Appdome. “Fraud detection cannot stand alone, but combined with other threat defense and telemetry available via the Appdome platform, fraud detection and prevention are indispensable to keeping mobile brands, businesses, users, and revenues secure. We could not be prouder that our customers recognize our contributions to this market segment.”

As fraud tactics grow more sophisticated and users demand stronger protections, many legacy mobile app security and fraud detection point products are struggling to meet mobile brands’ and enterprises’ unified threat defense needs. Against this backdrop, the security, anti-fraud, bot defense, and social engineering protections available on Appdome’s AI-native platform continue to grow. Today, Appdome provides mobile brands and businesses access to over 400 anti-fraud defenses, which can be deployed on demand into mobile apps—without requiring SDKs, servers, or engineering effort.

Customers recognize Appdome’s best-of-suite offering for mobile apps, ranking it as G2’s Best Meets Requirements, Easiest to Use, and Easiest to Do Business With for the past three years. In Summer 2025, Appdome earned the top “milestone” honor in the G2 Users Love Us category. 

“You have to deliver a multi-layered defense in Android & iOS apps to protect a mobile business,” said Jamie Bertasi, Chief Customer Officer at Appdome. “Our AI-native architecture allows our customers to continuously ship new protections—like detection of deepfake identity streams, advanced device integrity checks, and behavior-based geo-fraud defenses—without integration work or reworking their app. Our customers can scale their defenses, while others stall.”

To learn more about Appdome’s mobile fraud solutions, please visit https://www.appdome.com/mobile-fraud-prevention-detection/.