limitedDistribution · Industry Research
Distinguishing Good Bots from Bad Bots with AI Security Solutions | Alan Klapper posted on the topic | LinkedIn
Distinguishing Bad Bots from Good Bots is a difficult task. Only an autonomous, AI enabled Application Security solution can handle it with no impact to the business. Radware has your back.

Radware's AI-enabled security solutions effectively distinguish between good and bad bots, ensuring seamless operations for e-commerce platforms.
Executive Summary
Distinguishing Bad Bots from Good Bots is a difficult task. Only an autonomous, AI enabled Application Security solution can handle it with no impact to the business. Radware has your back. Unlike high-profile DDoS attacks, malicious bot mitigation is a quiet, continuous battle. It requires meticulous, real-time inspection of every dynamic HTTPs request, instantly distinguishing between human traffic, beneficial bots, and malicious bot activity. This demands a perfect balance of ultra-low latency and near-zero false-positive and false-negative rates to outpace these sophisticated automated threats. See below for an example of our ongoing Bot Management service for one of the world's largest e-commerce platforms: >30 billion HTTPS calls inspected last month. >10 billion transactions detected as malicious bot activity and mitigated. Zero impact on legitimate human and bot traffic. Kudos to Radware's cloud operations and product teams!
Source: LinkedIn
Authors: View Profile, Connect
Original Article: https://www.linkedin.com/posts/alanklapper_distinguishing-bad-bots-from-good-bots-is-activity-7452156363645997056-2jIl
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