Colleagues,
We are excited to announce the next two sessions in the AI Discussions Working Group: Solutions Showcase Series. The Solutions Showcase Series is a virtual event series bringing together individuals and institutions from across the GLAM sector to demo practical solutions they've implemented to mitigate the negative impacts of AI bot harvesting on their systems, including repositories, websites, catalogues, and more.

April: Service Provider Focus

Details: Notch8: Cloudflare + Customized Infrastructure & Lyrasis: AWS WAF
Date: Wednesday, April 22, 2026
Time: 12:00 - 1:00pm Eastern
Location: Zoom - https://lyrasis.zoom.us/meeting/register/vDkCUxpeQIenIhRoYCJ4DA

Notch8: This session highlights their approach to mitigating large-scale AI scraping using Cloudflare’s edge protections—combining WAF, rate limiting, and bot management implemented via Infrastructure as Code to protect shared, multi-tenant platforms without degrading legitimate access.

Lyrasis: This session will provide an overview of the AWS/WAF solution used to protect ArchivesSpace hosted clients at Lyrasis.

May: LibLynx; Bot Filter

Details: LibLynx: Bot Filter
Date: Wednesday, May 13, 2026
Time: 9:00 - 10:00am Eastern
Location: Zoom: https://lyrasis.zoom.us/meeting/register/3nhNv8SCTAOzG_cB5YCXOA

LibLynx: In this session, the LibLynx team will discuss a tool they have developed called The Bot Filter. It uses a combination of techniques including machine learning and IP address verification, to automatically classify and categorize bot traffic.

*Please note - you must register for each session separately.

Each session will feature a live demo and time for Q&A.
Demos will span a diverse range of technical approaches, including open and non-open source solutions.

To read more about the presenters, and find more details about the Solutions Series check out our wiki space: https://wiki.lyrasis.org/display/cmtygp/Solutions+Showcase
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The Solutions Showcase Series is organized by the AI Discussions Working Group, a collaborative initiative that emerged from shared concerns about the impact of AI-driven web harvesting on academic institutions. While our initial focus was on academic repositories, we’ve since expanded our scope to include all corners of the GLAM sector.

Read more about the Working Group here: https://wiki.lyrasis.org/display/cmtygp/Community+AI+Discussions+Working+Group

Have a solution to share?
We’re actively looking for additional presenters! If your institution has addressed AI bot scraping in a creative or effective way, we’d love to feature your work. Please reach out to Arran Griffith at [log in to unmask] to book a presentation slot.

Cheers,
Arran Griffith, on behalf of The AI Discussions Group

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