Adjust Fraud Prevention Suite
Adjust detects and blocks mobile ad fraud in real time within the attribution pipeline, ensuring advertisers only pay for genuine installs and user actions. Its ML-powered behavioral analysis, rooted in Unbotify technology, provides a more sophisticated defense than traditional blocklist approaches.
Last updated May 11, 2026 by the ATDb Editorial Team · Connections updated May 13, 2026
- Industry
- Mobile Ad Fraud Prevention / Mobile Measurement
- Business Model
- SaaS
- Target Market
- Enterprise
- Employee Count
- 501-1000
- Funding
- ~$227M (as Adjust, prior to AppLovin acquisition)
- Revenue Range
- $100M-$300M (estimated, as part of Adjust overall)
- Parent Company
- Adjust
- API Available
- Yes
A leading integrated mobile measurement and fraud prevention platform, bundling anti-fraud capabilities directly into its attribution stack to serve performance marketers globally.
Adjust Fraud Prevention Suite is the anti-fraud product family offered by Adjust, one of the world's leading mobile measurement and analytics platforms. The suite is designed to protect mobile advertisers from a wide range of ad fraud types including click injection, SDK spoofing, click spam, and fake installs. By integrating fraud detection directly into the attribution pipeline, Adjust allows marketers to automatically filter out fraudulent traffic before it impacts campaign budgets or reporting accuracy. A key component of the suite is technology derived from Unbotify, an Israeli startup that Adjust acqui-hired around 2019. Unbotify brought sophisticated behavioral biometrics and machine learning capabilities to distinguish real human users from bots and automated scripts — a significant technical differentiator in the fraud prevention space. This acquisition allowed Adjust to move beyond simple blocklist-based detection toward dynamic, pattern-based fraud identification. Within the AdTech ecosystem, Adjust's fraud prevention capabilities are tightly bundled with its broader mobile measurement platform, making it particularly attractive to performance marketers and app developers who already rely on Adjust for attribution. This integrated approach positions Adjust competitively against standalone fraud vendors, as clients benefit from a unified data layer spanning attribution, analytics, and fraud protection. Adjust itself was acquired by AppLovin in 2021 and later sold to digital marketing firm Applovin before being acquired by Rovio's parent — ultimately, as of 2023, Adjust operates as a subsidiary under its own brand within the broader mobile marketing ecosystem.
Fraud Prevention Suite
Core anti-fraud product family that filters invalid traffic, fake installs, and bot-driven clicks from mobile ad campaigns in real time.
Unbotify-Powered Bot Detection
Machine learning and behavioral biometrics engine (from the Unbotify acqui-hire) that distinguishes human users from automated bots and scripts.
Click Injection Filter
Detects and blocks click injection attacks where fraudulent actors fire clicks just before an organic install to steal attribution credit.
SDK Spoofing Protection
Identifies and rejects fraudulent installs generated by replaying legitimate SDK traffic without real device activity.
Click Spam Detection
Filters high-volume, low-quality click floods designed to capture attribution credit through probability rather than genuine engagement.
Fraud Reporting Dashboard
Real-time reporting interface showing rejected installs, fraud rates by network, and financial impact of blocked fraud.
- 2012Founded