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UID:pretalx-balccon2k26-2026-UZQQAG@cfp.balccon.org
DTSTART;TZID=CET:20260919T110000
DTEND;TZID=CET:20260919T115000
DESCRIPTION:Artificial intelligence is rapidly transforming healthcare\, of
 ten elevating user experience and improving operational efficiency. In som
 e domains\, however\, AI is no longer just a convenience — it has become
  essential. Radiotherapy is one such area. As patient volumes surge\, digi
 tal oncology systems require significantly higher levels of autonomy to su
 stain safe\, timely\, and high‑quality care. This includes not only trea
 tment management\, but increasingly\, elements of treatment planning as we
 ll.\n\nIn this context\, cybersecurity is no longer a supporting function\
 ; it is a foundational prerequisite for reliable cancer care. The encourag
 ing news is that robust protection is achievable by applying mature\, well
 ‑established security standards — adapted thoughtfully for AI‑driven
  clinical environments. Frameworks such as MITRE ATLAS offer structured ap
 proaches tailored to adversarial threats against machine learning systems.
 \n\nThis presentation explores the unique cybersecurity challenges introdu
 ced by AI‑enabled healthcare applications and demonstrates a practical s
 trategy for addressing them through a focused use case: an AI Agent design
 ed to support radiotherapy management.
DTSTAMP:20260901T064040Z
LOCATION:Tesla
SUMMARY:Digital Oncologists Require Cyber Care - Securing AI Agents in Radi
 otherapy - Jani Kovacs
URL:https://cfp.balccon.org/balccon2k26-2026/talk/UZQQAG/
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