Securing Tomorrow: Navigating the Future Landscape of Threats and Opportunities in Security

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Originally Aired - Tuesday, September 24 10:00 AM - 11:00 AM Eastern Time (US & Canada)

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Location: S330CD


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Title: Securing Tomorrow: Navigating the Future Landscape of Threats and Opportunities in Security

Description:

Prepare to step into the frontier of "Securing Tomorrow," where the boundaries between cyber and physical crumble, and threats morph with unimaginable speed. This panel will delve into the critical need for dynamic, holistic security practices in an increasingly machine-driven world.

We'll illuminate the evolving profile of the next-generation security professional: a visionary leader adept in both cyber and physical realms, fluent in the languages of intelligence and systems design. As we explore the transformative power of emergent technologies, we'll also acknowledge the irreplaceable human element, the essential counterpoint to automation's continuing march forward.

This journey toward a secure tomorrow won't be without its challenges. On this panel presentation of industry experts across risk management, advanced security tech, and personnel-based security, we’ll confront head-on the complexities inherent in this technological metamorphosis, emphasizing the urgent need to navigate these advancements responsibly, crafting a robust and dependable security ecosystem.

Learning Objective #1: Understand the Evolving Threat Landscape: Gain insight into the future security threat environment, focusing on the integration of cyber and physical realms, and learn the latest strategies for monitoring and anticipating potential threats.

Learning Objective #2: Master Dynamic Response Mechanisms: Learn how to implement dynamic and automated threat assessment and response systems, leveraging AI analytics and integrated security solutions to enhance real-time vigilance and operational efficiency.

Learning Objective #3: Navigate the Human-Technology Interface: Develop an understanding of the critical balance between human expertise and automated technology, recognizing the challenges and ethical considerations in deploying AI and machine learning within the security domain.

Type: All Access Education


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