Link11 has launched its new AI Management Dashboard, a solution designed to close a growing visibility gap in how organizations monitor and manage AI-driven internet traffic. As artificial intelligence continues to reshape digital ecosystems, many companies are experiencing increased strain from AI crawlers accessing their web infrastructure. However, despite this rising pressure, organizations often lack clear data, operational visibility, and governance controls. With this launch, Link11 aims to make AI traffic transparent, controllable, and fully auditable within existing security workflows.
According to company leadership, AI traffic has evolved into a strategic challenge rather than a minor technical issue. “AI traffic is no longer a marginal issue, but a strategic question for security, costs, and governance,” says Jens-Philipp Jung, CEO of Link11. “Companies need to know exactly which AI systems are accessing their content, and they need to be able to control that access in a targeted manner. That’s exactly what our AI Management Dashboard enables.”
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Traditionally, organizations grouped AI-generated traffic under general bot activity, which limited visibility and blurred important distinctions. As a result, security teams struggled to differentiate between routine automation and AI-driven data collection. In contrast, Link11’s AI Management Dashboard introduces a dedicated analysis category specifically for AI traffic. This deliberate separation enables forensic-level insights into individual AI tools and crawler categories. Consequently, companies can move beyond assumptions and access reliable evidence to support operational, security, audit, and governance decisions.
Moreover, the platform provides detailed evaluations of both permitted and blocked AI access. It offers time-based trend analysis to help organizations understand patterns and spikes in AI traffic. Through drilldown functionality, teams can trace individual requests directly within the event log. This granular visibility significantly strengthens audit readiness and governance oversight.
Importantly, the dashboard bridges the gap between high-level analytics and actionable evidence. Security and web teams can instantly transition from aggregated data views to detailed event logs. This capability allows them to verify exactly which AI crawler accessed specific content, at what time, and in what manner. As a result, organizations gain a solid foundation for internal reviews, compliance verification, and legal or economic assessments related to AI access.
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Another key advantage lies in seamless integration. The AI Management Dashboard operates within Link11’s existing Web Application & API Protection Platform, eliminating the need for additional tools or workflow changes. Therefore, companies can enhance AI governance without introducing operational complexity.
Jung emphasized this principle, stating: “We wanted to add control without increasing complexity. AI management must take place where teams already work today, in their existing security and traffic workflows.”
Overall, with the AI Management Dashboard, Link11 shifts AI traffic management from vague visibility to measurable and enforceable control. By combining transparency, traceability, and operational simplicity, the company positions itself to help enterprises navigate the evolving intersection of AI, security, and digital governance with greater confidence and fairness.
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