What’s inside?
Proactive strategies for protecting your organization
Read our latest e-book to learn:
- How to stop large-scale bot attacks on digital channels
- Advanced decisioning that increases efficiency by 10-100X
- How DataVisor boosts bot detection by 50%
- How to fight bots with 99% detection accuracy
Introduction
This white paper will help you understand how your company can continue to evolve its fraud strategies to counteract a new array of bot-powered threats.
Bot-based attacks are becoming increasingly common. Artificial intelligence can be used in malware to enable bots to attack businesses faster and more efficiently than ever before. Bots have even been used to influence public conversations and spread false information through coordinated activity.
What do businesses need to understand about how these attacks work, and what steps do they need to take to respond effectively? Why can’t traditional anti-fraud methodologies keep up with the latest evolution in threat vectors? How can fraud detection software leverage machine learning to keep your business safe?
Understanding Bots
Discover the power of machine learning fraud protection
Automated bot attacks come at massive scale and evolve rapidly, targeting weak points across the customer journey. Traditional, reactive fraud solutions that rely on known patterns and historical data don’t stand a chance, because fraudsters use AI to evade detection.
To stop AI-powered fraud attacks in real time before they cause damage requires advanced AI and machine learning, and the full spectrum of fraud detection and prevention capabilities.
Year-After-Year,
the Industry’s Choice
.png)
.png)
