Bot or human? Detecting malicious bots with machine...
summary
Claims a production engine that ingests billions of signals and combines client‑side fingerprints and server‑side TLS/HTTP attributes to spot advanced bots that use Headless Chrome Puppeteer Playwright Selenium and residential IPs (about 30% of bot IPs today and rising). It shows a deployed pipeline: real‑time outlier detection plus contrast‑set mining (modified Stucco) to generate blocking patterns, stacked supervised/unsupervised models, and a live case that blocks credential‑stuffing while keeping human traffic stable.
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chapters (6)
- 0:00Introduction to Bot Threats
- 1:10Modern Bot Challenges
- 6:33Detection Techniques
- 11:07Machine Learning Approaches
- 12:17AI Login Response Use Case
- 22:21Key Takeaways and Summary
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