What is fraud: a complete guide for business
Breaking down the main attack vectors: ad fraud, payment fraud, and social engineering. Protect your business in 2026.
Learn all about ad fraud and exactly why your advertising isn't performing as expected. Before you start, we recommend reading our platform documentation.
What is fraud: a complete guide for business
Breaking down the main attack vectors: ad fraud, payment fraud, and social engineering. Protect your business in 2026.
Types of fraud in 2026: current schemes
APP fraud, synthetic identities, and account takeovers. How AI helps attackers bypass modern defense systems.
Anti-fraud glossary: the language of pros
From BIN attacks to cookie stuffing. A detailed glossary for risk managers and IT specialists with practical examples.
Anti-fraud for E-com: profit protection
How to protect your loyalty program, prevent return fraud, and save your marketing budget from abusers.
Fraud in affiliate marketing: a checklist
Click Injection, SDK Spoofing, and fake clicks. Learn how to verify your CPA network and stop paying for garbage traffic.
Real-Time protection for Fintech services
Why rules-based approaches lose to machine learning and how to score transactions in under 200 milliseconds.
How to choose an anti-fraud system: 7 criteria
In-house or SaaS solution? Analyzing response speed, decision transparency (Explainable AI), and False Positives.
AI and ML in fraud prevention: a deep dive
From static to dynamic. How neural networks gather digital fingerprints and detect anomalies before a theft occurs.
Case Study: How an E-com client saved 45M
Real integration experience. A 9x reduction in fraud levels and unburdening the moderation team thanks to ML anti-fraud.
Online payment security checklist
From configuring 3D-Secure 2.0 to proxy detection. Basic self-assessment of your site's payment infrastructure.
How to spot ad click fraud
Anomalous CTR, zero time on site, and high bounce rates. Searching for bot traffic signs in your Google Analytics.
How Yandex.Pixel works: technical review
How data moves between Audiences, Metrica, and Direct, and why bots can completely break your auto-bidding strategies.
Why pixels don't protect against click fraud
Analyzing pixel architectural flaws: why they detect fraud too late and how it destroys your analytics.
How fraud traffic devours your ad budget
Learn how bots destroy up to 25% of your ad budget. We break down 5 click fraud mechanics and protection methods.
Case Study: +30% real app installs (anti-fraud)
How identifying Click Injection and bot farms helped an international brand reduce CPI by 40%.
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