Stop Motivated Fraudsters In Their Tracks
When we talk about bot management and bot mitigation, we’re not talking about just dealing with automation. We’re really describing how to fight the people behind the bots. Just as a physical bank robber relies on a weapon, a bag, a mask, and a getaway car, a digital fraudster also relies on tools; in this case, data, scripts, and/or pre-built ecosystems.
Bot mitigation providers claim to help with web scraping and account fraud, but very few do it well enough to disrupt serious sophisticated fraudsters. That’s because the ability of a bot mitigation solution to sustain its defense, under-motivated resistance, is the true differentiating aspect in this market. Motivated fraudsters will persist in their attempts to evade detection.
Assessing the Bot Mitigation Market: 5 Key Best Practices
When assessing bot mitigation solutions, we have to understand the sophistication of automated malware and fraud ecosystems on the market today and how sustainable each defensive model is. How challenging is it for a fraudster to reverse-engineer the solution and how does the solution respond in a battle?
To help truly understand the differences between the various solutions in the market, you’ll want to apply these best practices:
- The client-side inspection process. What is it? How does it function? Is it static or dynamic? How does it respond to retooling?
- The defensive obfuscation methods used at each layer of the solution.
- The data collection and processing strategy, how it is leveraged, and how it is useful?
- What happens when you identify a bot? What are your bot mitigation options?
