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DTSTAMP:20250626T234540Z
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DTSTART;TZID=America/New_York:20241117T110000
DTEND;TZID=America/New_York:20241117T113000
UID:submissions.supercomputing.org_SC24_sess733_ws_shpc101@linklings.com
SUMMARY:Federated Single Sign-On and Zero Trust Co-design for AI and HPC D
 igital Research Infrastructures
DESCRIPTION:Sadaf R. Alam, Christopher Woods, and Matt Williams (Universit
 y of Bristol, England)\n\nScientific workflows have become highly heteroge
 neous leveraging distributed facilities such as HPC, Artificial Intelligen
 ce (AI), Machine Learning (ML), scientific instruments (data-driven pipeli
 nes) and edge computing. As a result, Identity and Access Management (IAM)
  and Cybersecurity challenges across the diverse hardware and software sta
 cks are growing. Nevertheless, scientific productivity relies on lowering 
 access barriers via seamless, single sign-on and federated login while ens
 uring access controls and compliance. We present an implementation of a fe
 derated\nIAM solution, which is coupled with multiple layers of security c
 ontrols, multi-factor authentication, cloud-native protocols, and time-lim
 ited role-based access controls (RBAC) that has been\nco-designed and depl
 oyed for the Isambard-AI and HPC supercomputing Digital Research Infrastru
 ctures (DRIs) in the UK.\nIsambard DRIs as a national research resource ar
 e expected\nto comply with regulatory frameworks. Implementation details\n
 for monitoring, alerting and controls are outlined in the paper\nalongside
  selected user stories for demonstrating IAM workflows\nfor different role
 s.\n\nTag: Applications and Application Frameworks, Artificial Intelligenc
 e/Machine Learning, Security\n\nRegistration Category: Workshop Reg Pass\n
 \nSession Chairs: Nael Abu-Ghazaleh (University of California, Riverside);
  Kevin J. Barker (Pacific Northwest National Laboratory (PNNL)); Yang Guo 
 (National Institute of Standards and Technology (NIST)); Joseph Manzano (P
 acific Northwest National Laboratory (PNNL)); Andres Marquez (Pacific Nort
 hwest National Laboratory (PNNL)); and Sean Peisert (Lawrence Berkeley Nat
 ional Laboratory (LBNL); University of California, Davis)\n\n
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