aiqbench analysis
This report highlights a critical shift in the AI threat landscape where automated agents are increasingly targeting sensitive backend functions like logins and payment forms rather than just scraping public content. The data indicates that current defenses struggle against this surge, particularly as third-party resellers and major model providers drive traffic without always disclosing their crawler status. For the industry, the challenge is evolving from blocking simple scrapers to identifying sophisticated agents attempting to compromise user accounts at scale.
DataDome report finds bad bot traffic growing nine times faster than human traffic
A new report out today from bot protection company DataDome SAS finds that malicious automated traffic grew 124% between July 2025 and June 2026, more than nine times the rate of human traffic growth — and most of the popular websites it tested could not stop a single bot. The findings, from the 2026 edition […] The post DataDome report finds bad bot traffic growing nine times faster than human traffic appeared first on SiliconANGLE.
A new report out today from bot protection company DataDome SAS finds that malicious automated traffic grew 124% between July 2025 and June 2026, more than nine times the rate of human traffic growth — and most of the popular websites it tested could not stop a single bot. The findings, from the 2026 edition of the company’s “State of Bot & Agent Security Report,” draw on more than a trillion requests across more than…
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