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X-ORIGINAL-URL:https://openssf.org
X-WR-CALDESC:Events for Open Source Security Foundation
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BEGIN:VTIMEZONE
TZID:Asia/Kolkata
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TZOFFSETFROM:+0530
TZOFFSETTO:+0530
TZNAME:IST
DTSTART:20240101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20250603T140000
DTEND;TZID=Asia/Kolkata:20250603T150000
DTSTAMP:20260517T104005
CREATED:20250516T230809Z
LAST-MODIFIED:20250516T230809Z
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SUMMARY:Zero Trust Network Access
DESCRIPTION:Presented by Tushar Anand\, an experienced Security Engineer specializing in cloud security\, application security\, and compliance\, with extensive skills in pentesting and risk management. \nIn today’s evolving threat landscape\, traditional perimeter-based security is no longer sufficient. This talk\, “Zero Trust Network Access\,” will delve into the fundamental principles of Zero Trust and its critical role in modern network security. We will explore how assuming “never trust\, always verify” can drastically enhance your organization’s security posture. \nTushar will guide you through the core concepts of Zero Trust Network Access (ZTNA) and discuss its relationship with broader network security practices. A key highlight of this session will be a demonstration of Qryptic\, an open-source tool built by Tushar to practically illustrate ZTNA principles in action. This will provide valuable insights into how open source can empower security professionals to implement and understand complex security models. Join this session to deepen your understanding of ZTNA\, explore practical open-source solutions\, and learn how to commit to safeguarding your digital environments in an increasingly complex world.
URL:https://openssf.org/event/zero-trust-network-access/
CATEGORIES:India Initiative
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20250614T140000
DTEND;TZID=Asia/Kolkata:20250614T150000
DTSTAMP:20260517T104005
CREATED:20250516T235818Z
LAST-MODIFIED:20250516T235818Z
UID:10000071-1749909600-1749913200@openssf.org
SUMMARY:Open Source LLM Security
DESCRIPTION:As Large Language Models (LLMs) become increasingly prevalent\, the security of their open-source variants presents unique and critical challenges. While offering flexibility and accessibility\, the open nature of these models can expose them to specific vulnerabilities and attack vectors. This talk will explore the emerging security landscape surrounding open-source LLMs\, discussing risks such as data poisoning\, model inference attacks\, and supply chain compromises. Understanding these threats is vital for developers and users to leverage LLMs safely and effectively. We will delve into key security considerations and potential mitigation strategies for building and deploying secure open-source LLM applications.
URL:https://openssf.org/event/open-source-llm-security/
CATEGORIES:India Initiative
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