Ask enterprise leaders whether they can detect bot activity, and the answer is overwhelmingly yes. Nearly four in five (79%) say they’re confident in their ability to do so. Yet only 23% have a proactive, comprehensive bot management strategy in place.
This huge gap between confidence and capability is one of many findings in a new Hydrolix report that surveys 300 enterprise leaders across IT security, engineering, infrastructure, and site reliability engineering.
The report also uncovers a gap between perception and reality. Survey respondents estimate that AI bots generate approximately 17% of their traffic. However, according to Imperva’s 2026 Bad Bot Report, automated traffic accounted for more than 53% of all web traffic in 2025, with malicious bot traffic accounting for 40% of that total. When there is a 36-point gap between leadership perception of bot traffic and an independent measurement of actual bot traffic on the internet, that suggests a visibility problem that’s much more significant than many leaders realize.
Download the report: The State of AI Bots in 2026: Risk, Readiness, and Governance.
Bot detection tools generate alerts, identify traffic spikes, and flag sessions. However, most tools don’t provide information on what bots are trying to accomplish. For example, is a crawler scraping your site and resulting in costly cache misses because it’s gathering data for a competitor, probing for weaknesses (malicious behavior), or enhancing AI search results that could improve your SEO and GEO visibility? Only 33% of respondents said their WAF or bot detection solution blocked more than 50% of AI bot traffic in the last 12 months, and it’s often not clear whether that traffic is beneficial or malicious. Considering the extent of visibility problems, many organizations do not have a clear sense of how bots are interacting with their content, and without a deeper understanding of bot intent, may inadvertently block bot traffic that is beneficial for brand awareness and revenue.
Organizations Must Evolve Beyond Simple Blocking Strategies
AI bots now represent a substantial and growing share of enterprise activity, and a meaningful portion of that traffic is traffic these organizations depend on. More than half of respondents (51%) use bots for uptime monitoring. Nearly as many (48%) rely on them for SEO. Others depend on automated agents for analytics and performance operations. Bots aren’t simply an external threat to be neutralized. They’ve become essential to how businesses run their operations.
Classification and understanding intent have become just as important as detection and blocking. The question is no longer whether to block bots. It’s whether you can tell the difference between the ones doing legitimate work and the ones doing damage, and act on that distinction in real time. According to the survey, 23% of enterprises can’t reliably make that distinction at all. Malicious bots can mimic legitimate behavior while beneficial bots, when incorrectly tuned, can impact performance and drive up costs through issues like cache misses. Without the ability to identify intent, organizations face difficult choices: block too aggressively and disrupt beneficial bots, or block too conservatively, resulting in security vulnerabilities.
Gaps Persist Despite Business Maturity
Nearly half of the organizations in the survey manage between one million and ten million monthly web visits. A quarter exceed ten million. More than 80% generate over $500 million in annual revenue. These are enterprises with security budgets, dedicated teams, and established tooling — and yet the gap persists.
That’s because the tools most organizations have invested in were built to detect, not to understand. 40% cite budget constraints as a barrier to effective bot management. 30% report fragmented systems and insufficient visibility. 27% percent are overwhelmed by telemetry volume. The visibility problems go beyond resourcing issues. Businesses must adapt to petabyte-scale data, the proliferation of AI, and more sophisticated bots that engage in a wide range of behavior, both beneficial and malicious.
Read the Full Report
The pattern across these findings isn’t that organizations are ignoring bot management. Most have tools in place, budgets allocated, and teams paying attention. The real issue is that both solutions and businesses must evolve beyond detection-focused strategies that are focused entirely on detecting threats. The full report maps where it moved, what a governance-led approach actually requires, and how the organizations closing the readiness gap are structuring their response.
- Download the report: The State of AI Bots in 2026: Risk, Readiness, and Governance.
- Learn more about Bot Insights, which gives you persona-based dashboards so that your teams understand how bot traffic is affecting your business. Includes dashboards for C-suite, technical leaders, security, ops, and SEO.
