Re: AI Discussions WG: New Solutions Showcase Series Events!
Arran Griffith
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Yes! All sessions are recorded, but you need to register to receive your link to the recording.
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Yes! All of the Solutions Showcases are free to attend.
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They are open to everyone, and we encourage all interest and skill levels to attend. The Showcases are intended to provide real-world examples of solutions that individuals, service providers, and institutions are implementing to help protect their infrastructure from the impacts of aggressive bot activity. The open-floor Q&A at the end of each Showcase is a great way to ask questions and dive deeper into topics delivered during the event.
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It has been our experience that each implementation of a solution is a little different. Each use case is unique, and each presenter has shown a slightly different approach to their own "fine tuning" which helps meet their specific needs. These slightly different approaches are what make the Showcases most interesting - seeing exactly how others are using common tools for which may feel familiar.
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All of the past Solutions Showcases can be requested by using the following link: https://forms.gle/zwkujzxZh2pBNCgh7. You can view all events in the Solutions Showcase Series here: https://wiki.lyrasis.org/display/cmtygp/Solutions+Showcase+Series
Date: Monday, April 6, 2026 at 9:50 AM
To:
Subject: AI Discussions WG: New Solutions Showcase Series Events!
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.
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Each session will feature a live demo and time for Q&A.
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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
arran.g...@lyrasis.org to
book a presentation slot.
Cheers,
Arran Griffith, on behalf of The AI Discussions Group
