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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.

Distinguishing Good Bots from Bad Bots with AI Security Solutions | Alan Klapper posted on the topic | LinkedIn

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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