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AI (Artificial intelligence) is evolving rapidly in the security world, ranging from hardware embedded video analytics and IoT devices, to threat modeling and risk detection services—and this is just for event detection. Increasingly, organizations are looking for machine learning to more accurately predict areas of high risk so that operations teams can change their security posture and implement mitigation strategies before threats even become an event. 

For example, AI can predict areas where there is a high likelihood of physical security events such as property damage, stealing, and loitering. It can even anticipate the organization’s risk exposure to employees and customers impacted by a natural disaster, travel delays, pandemics, workplace violence, etc.

This new breed of AI offers the prospect of further simplifying security operations by vastly improving the detection of critical events thereby eliminating the overwhelming amount of noise that systems generate. Similarly, it has the power to quickly provide insights into this data so managers can identify trends and make decisions in real-time.

At SureView, we are now developing ways to use AI-generated data alongside that created directly from physical security systems. More accurate detection and fewer false positives result in accuracy and performance that continually improves. Aggregating all of this real-time, event and response information in one place also allows us to apply machine learning to identify areas of risk and weakness. AI is now playing an important role in improving operational resilience by using real-time and historic data to support actionable decision-making.

Download the full whitepaper, Next-Gen PSIM: Top 10 Things Leading Command Centers Expect Today, to learn more.

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