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DTSTART:20261101T010000
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DTSTAMP:20260410T030604Z
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DTSTART;TZID=America/Los_Angeles:20260409T183000
DTEND;TZID=America/Los_Angeles:20260409T200000
DESCRIPTION:The technology industry is rapidly crossing a critical threshol
 d. We are moving beyond AI as a passive Copilot (a tool that simply advise
 s engineers) and entering the era of AI as an active Agent. These new agen
 ts are capable of autonomously diagnosing issues and executing changes dir
 ectly within global production environments.\nHowever\, granting AI write-
 access to mission-critical infrastructure introduces a new class of system
 ic business risk. Without the right safeguards\, autonomous systems can ma
 ke unpredictable decisions or be manipulated\, leading to cascading operat
 ional failures. The transition to autonomy requires technology leaders to 
 fundamentally rethink their Site Reliability Engineering (SRE) and securit
 y strategies.\nIn this session\, the speakers bridge the gap between strat
 egic leadership and architectural rigor. Attendees will receive a comprehe
 nsive blueprint for safely managing the transition to AI-operated infrastr
 ucture\, ensuring their systems remain highly intelligent and fundamentall
 y incorruptible.\nThe Dual-Track Roadmap\nThis session provides a comprehe
 nsive framework to navigate the era of Agentic SRE\, divided into two dist
 inct tracks:\nTrack 1: The Management Imperative (Strategy)\nQuantifying t
 he ROI of Autonomy: Learn how to balance the efficiency gains of autonomou
 s systems against operational costs and underlying model risks.\nDefining 
 Agentic Oversight: Establish the critical cultural and operational boundar
 ies between decisions that require human approval and tasks that can be sa
 fely fully automated.\nTrack 2: The Security Blueprint (Architecture)\nPio
 neering the IARA Framework: A high-level overview of the Incorruptible Aut
 onomy Reference Architecture\, a 7-pillar security model for safely deploy
 ing AI agents.\nArchitecting Trust: Discover how to grant AI systems tempo
 rary\, just-in-time permissions to prevent unauthorized access and severel
 y limit the blast radius of any potential errors.\n\nSpeaker(s): Ankush Sh
 arma\, Kunal Kannav\n\nRoom: 108\, Bldg: Alameda Hall\, Santa Clara Univer
 sity\, Santa Clara\, California\, United States\, Virtual: https://events.
 vtools.ieee.org/m/547313
LOCATION:Room: 108\, Bldg: Alameda Hall\, Santa Clara University\, Santa Cl
 ara\, California\, United States\, Virtual: https://events.vtools.ieee.org
 /m/547313
ORGANIZER:edcheng@ieee.org
SEQUENCE:81
SUMMARY:AI &amp; The Future of Platform Engineering
URL;VALUE=URI:https://events.vtools.ieee.org/m/547313
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;The technology industry is rapidly crossin
 g a critical threshold. We are moving beyond AI as a passive Copilot (a to
 ol that simply advises engineers) and entering the era of AI as an active 
 Agent. These new agents are capable of autonomously diagnosing issues and 
 executing changes directly within global production environments.&lt;br&gt;Howev
 er\, granting AI write-access to mission-critical infrastructure introduce
 s a new class of systemic business risk. Without the right safeguards\, au
 tonomous systems can make unpredictable decisions or be manipulated\, lead
 ing to cascading operational failures. The transition to autonomy requires
  technology leaders to fundamentally rethink their Site Reliability Engine
 ering (SRE) and security strategies.&lt;br&gt;In this session\, the speakers bri
 dge the gap between strategic leadership and architectural rigor. Attendee
 s will receive a comprehensive blueprint for safely managing the transitio
 n to AI-operated infrastructure\, ensuring their systems remain highly int
 elligent and fundamentally incorruptible.&lt;br&gt;The Dual-Track Roadmap&lt;br&gt;Thi
 s session provides a comprehensive framework to navigate the era of Agenti
 c SRE\, divided into two distinct tracks:&lt;br&gt;Track 1: The Management Imper
 ative (Strategy)&lt;br&gt;Quantifying the ROI of Autonomy: Learn how to balance 
 the efficiency gains of autonomous systems against operational costs and u
 nderlying model risks.&lt;br&gt;Defining Agentic Oversight: Establish the critic
 al cultural and operational boundaries between decisions that require huma
 n approval and tasks that can be safely fully automated.&lt;br&gt;Track 2: The S
 ecurity Blueprint (Architecture)&lt;br&gt;Pioneering the IARA Framework: A high-
 level overview of the Incorruptible Autonomy Reference Architecture\, a 7-
 pillar security model for safely deploying AI agents.&lt;br&gt;Architecting Trus
 t: Discover how to grant AI systems temporary\, just-in-time permissions t
 o prevent unauthorized access and severely limit the blast radius of any p
 otential errors.&lt;/p&gt;
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