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2026 Benchmark Report: Bots, Fraud, and AI
Bad traffic doesn't announce itself. Today's attacks continue to sneak past the majority of detections, skewing metrics and pushing teams to act on bad signals.
The result: blocking real users, missing fraud, wasting infrastructure, and distorting the metrics your business depends on.
The Problem
Revenue is leaving through traffic you approved.
Attacks blend in
Attacks aren't arriving in obvious spikes anymore. They blend in — mimicking real users, passing detection, running quietly until the damage is already done. AI made this faster and cheaper to execute than ever, dropping the barrier to entry for anyone looking to exploit your systems.
The cost is real
Companies hit by bot attacks report losing an average of 45% of revenue. Stolen account sales alone generated $151M on criminal marketplaces last year. Most of that damage happened long before any fraud alert fired.
By the numbers
219%
increase in bad bots
45%
average revenue loss tied to bot attacks
79%
of AI traffic comes from crawlers and scrapers
What's Inside
Bad signals break everything downstream.
How modern automation is evolving across fraud, scraping, and abuse.
Why traditional detection is breaking down.
Benchmarks across retail, airlines, digital, hospitality, finance, and streaming.
The business impact of unreliable traffic signals.
What to expect in 2026.
Know what your traffic actually is.
More reports
Total economic impact of Kasada
Before Kasada, each organization in the study had a legacy CDN bot management solution. All of them had the same problem: their tool was telling them they were protected. They weren’t.
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2026 Forrester Best Practices Report
New Forrester research reveals how bots, scrapers, and AI agents distort attribution, waste ad spend, and create blind spots across teams — and outlines how to align marketing and security around what actually drives revenue.
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