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DESCRIPTION:   'Title: Leveraging Large Language Models for Policy\, Regula
 tory\, and\n   Compliance in IoMT: Opportunities\, Risks\, and Safeguards\
 n   Tags: AI Village | Creator Talk/Panel\n   When: Sunday\, Aug 9\, 12:30
  - 12:59 PDT\n   Where: LVCCW Level 1 Hall 3 1105 (Creator Stage 3) - [1]M
 ap\n\n   Description:\n\n   The rapid adoption of Large Language Models (L
 LMs) is transforming how\n   organizations interpret and enforce policy\, 
 regulatory\, and compliance\n   requirements. In the context of the Intern
 et of Medical Things (IoMT)\,\n   where sensitive health data flows across
  distributed and\n   resource-constrained devices\, LLMs offer promising c
 apabilities such\n   as automated policy analysis\, compliance monitoring\
 , and intelligent\n   decision support. However\, their integration also i
 ntroduces\n   significant security\, privacy\, and trust challenges\, incl
 uding data\n   leakage\, model hallucinations\, regulatory misinterpretati
 on\, and\n   adversarial manipulation. This talk explores the dual role of
  LLMs as\n   both enablers and potential risk amplifiers in IoMT ecosystem
 s. It\n   will examine how LLMs can assist in translating complex regulati
 ons\n   (e.g.\, HIPAA-like frameworks)\, detecting compliance violations\,
  and\n   enabling adaptive policy enforcement across heterogeneous medical
 \n   devices. At the same time\, the session will highlight critical\n   v
 ulnerabilities\, including privacy breaches\, lack of explainability\,\n  
  and risks associated with using external or cloud-hosted models in\n   he
 althcare environments. The workshop will conclude with practical\n   desig
 n guidelines and architectural considerations for securely\n   integrating
  LLMs into IoMT systems\, emphasizing privacy-preserving\n   techniques\, 
 federated approaches\, and human-in-the-loop validation to\n   ensure trus
 tworthy and compliant deployment.\n\n   Speakers:Dr. Deepti Gupta\,Sai Sit
 haraman\n\n   SpeakerBio:  Dr. Deepti Gupta\n\n   Dr. Deepti Gupta is a te
 nure-track Assistant Professor at Texas A&M\n   University-Central Texas. 
 She was a Cloud Security Architect at\n   Goldman Sachs. She received her 
 Ph.D. in Computer Science from the\n   University of Texas at San Antonio 
 (UTSA). She received B.S. and M.S.\n   degrees in Mathematics from India\,
  the M.Tech. degree in Computer\n   Engineering from India and an M.S. deg
 ree in Computer Science from\n   UTSA. Dr. Gupta’s research interests li
 e in the areas of security\n   and privacy in Agentic AI\, LLMs\, Internet
  of Things (IoT) leveraging\n   cloud and edge computing. Her research int
 erests also include the\n   application of AI and Machine Learning to secu
 re IoT and CPS\n   infrastructures in various application domains\, such a
 s smart\n   healthcare\, wearable IoT and smart home. Dr. Gupta has receiv
 ed\n   National Science Foundation (NSF) award and Department of Defense\n
    (DoD) award. She is an active team member of IEEE ComSoc Young\n   Prof
 essionals\, AnitaB.org\, WiCyS\, and also co-chair of the N2Women\n   fell
 owship.\n\n   SpeakerBio:  Sai Sitharaman\n\n   Sai Sitharaman is the Foun
 der and Chief Technology Officer (CTO) of\n   Zetafence Inc.\, a cloud sec
 urity startup based in Dublin\, California\,\n   focused on enabling enter
 prises to detect and mitigate cloud attack\n   vulnerabilities. He receive
 d the B.E. degree in Computer Science from\n   the National Institute of T
 echnology\, India\, and the M.S. degree in\n   Computer Science from Texas
  A&M University\, College Station\,\n   specializing in security and netwo
 rk control algorithms. Prior to\n   founding Zetafence\, he contributed to
  the design and development of\n   cloud networking and security products 
 at Cisco\, Juniper Networks\, and\n   Aruba (Hewlett Packard Enterprise)\,
  where he worked on distributed\n   systems\, network control algorithms\,
  and cloud security\n   infrastructure. His research interests include clo
 ud security\,\n   artificial intelligence for cybersecurity\, attack graph
  analysis\, and\n   risk quantification for cloud-native environments. He 
 is an active\n   contributor to the cybersecurity community through collab
 orations with\n   organizations such as NIST\, CNCF\, and CISA\, and is a 
 frequent speaker\n   at major cybersecurity conferences.\n\n   '\n\n   1. 
 #LVCCW_Level1_Hall3\n\n\n
DTEND:20260809T195900Z
DTSTART:20260809T193000Z
LOCATION:AI Village - LVCCW Level 1 Hall 3 1105 (Creator Stage 3)
SUMMARY:Leveraging Large Language Models for Policy\, Regulatory\, and Comp
 liance in IoMT: Opportunities\, Risks\, and Safeguards
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