Protecting your application from bot attacks (PRT019)
summary
Login traffic peaks at almost 2.5 million attempts per hour and after applying F5 client-side signals—JavaScript/SDK behavioral biometrics, browser and header fingerprints, an emoji signal and a floating-point fingerprint—over 90% (often 98%) of traffic is classified as malicious and blocked at stage one while stage two AI/ML plus human review updates rules. Credential stuffing success rates run 0.1–3%, add-to-cart bots reach ~99%, mitigation restores latency and produced a 17% conversion lift and reported $20M incremental revenue.
AI-written summary · about
chapters (6)
- 0:00Identifying attack traffic
- 7:26Multi-stage defense strategy
- 9:06Managed security operations
- 10:43Common bot attack vectors
- 12:21Advanced behavioral signals
- 14:45Reducing friction for users
related talks
44mThe Unpatchables: Credential Stuffing Quantification and Classification
49mAre you human or a damn bot?
54mDetecting and managing bot activity more efficiently
16mLotta ai bot dannosi
29mBecoming You: A Glimpse Into Credential Abuse
01h 00mRock ‘Em Sock ‘Em Robots: Bot Swatting Like the Pros
23mBot or human? Detecting malicious bots with machine...
52mKnock Knock: Understanding Who is Using Your Web Applications