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A New View for Physical Security - See the Whole vs. Sum of the Parts with AI

A New View for Physical Security - See the Whole vs. Sum of the Parts with AI

March 19, 2020, 11:00 AM - 12:00 PM

Sands 305

Today’s connected world is dynamic, complex and unpredictable. As we add more security systems, devices, applications and data, we increase risk due to missed connections and security blind spots. AI has been a trendy buzzword for many evoking skepticism and fear for some, while others see the great potential it holds for strengthening physical security efforts.

Artificial neural networks (ANNs) will play a pivotal role in modern security strategies by closing security gaps and making sense of the threats and risk landscape in any environment. Understanding how AI and ANNs work and how they can help you get ahead of threats, mitigate risk, and improve life safety is key to moving past fear and into success.

This session will explore key Gestalt theory concepts as they apply to AI making physical security more proactive and effective. These concepts include proximity, simplicity, similarity, continuity, and closure. Attendees will learn how ANNs can revolutionize security by bringing everything together to see the whole rather than the sum of the parts.

Learning Objectives:
1. Identify an organization’s potential security blind spots.
2. Recognize patterns and leverage fragmented information across the infrastructure to identify threats.
3. Apply key Gestalt principles to your security strategy to proactively mitigate risk.
4. Create a physical security plan that is more intelligent, integrated and proactive.


  • Clayton Brown


    EVP and Co-Founder


    As co-founder of ReconaSense, Clayton Brown is helping the next-generation of security practitioners solve issues regarding data interoperability,...


  1. Track
    Connected Security

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