Recent California wildfires have challenged enterprise security professionals who are responsible for protecting and managing emergency evacuations. How can enterprise security professionals leverage their existing security hardware and software investments to better prepare for emergencies?
The Internet of Things (IoT) is living up to the hype. There are more than 20 billion end devices already networked through the Internet, with this number increasing more than three times by the year. In the process, end devices are becoming increasingly more intelligent and efficient, fueled by progress being made in artificial intelligence (AI), machine learning and even 5G, the new mobile phone technology, which creates the required bandwidths for data transfer in the IoT.
The Security Industry Association (SIA) has identified and forecasted the 2020 Security Megatrends, the top forces at play in security, expected to have far-reaching impacts on businesses across the industry.
The data analysis best practices from years past are not irrelevant; in the Loss Prevention world, we’re simply able to build on them to keep getting better at reducing fraud and shrinkage within operations. How can Artificial Intelligence take the efforts of your best talent and your Business Intelligence plan and help make them better?
In today’s dynamic environments, risk must be proactively managed. However, lack of sufficient intelligence can make it impossible to get ahead of threats and breaches. Fortunately, artificial intelligence (AI) has emerged as a valuable tool in augmenting physical security with a more proactive approach.
Artificial intelligence (AI) and machine learning (ML) are being heralded as a way to solve a wide range of problems in different industries and applications, such as reducing street traffic, improving online shopping, making life easier with voice-activated digital assistants, and more.
The future of Artificial Intelligence (AI) depends on many factors. Advancements in computing power and the implementation of regulations are just two external influences that could significantly impact what AI will be able to do in the years to come. Before we get to the exciting future uses, however, it’s important to understand exactly where we are today. And that’s not as clear as it should be.
It’s helpful to reflect on where we are now versus where we are going. Today, there is still more discussion about what might be possible than actual physical products on the market. Much of the conversation centers on practical ways to utilize deep learning and neural networks and how these techniques can improve analytics and significantly reduce false-positives for important events.
It is hard to believe that Global Security Exchange (GSX) 2019 is almost here. This year, it is anticipated that conversations will take a deeper dive into more intelligent security strategies and what their role is in the development of smarter infrastructures. Advanced security applications and data-enabled insights are a few main topics that will be top of mind for participants and attendees at GSX 2019.
ON DEMAND: Security infrastructures are undergoing a digital transformation with growing adoption of intelligent access control, video surveillance and analytics as well as IoT devices and sensors – generating more data to than ever before. Harnessed properly with artificial intelligence and a risk-based model, this data can be exposed and leveraged to improve life safety, minimize risk and increase operational efficiency.
This month, Security magazine brings you the 2019 Guarding Report, featuring David Komendat, Boeing CSO, and many other public safety leaders to discuss threats and solutions for 2020 and security officer training. Also, we highlight Hector Rodriguez, Director of Public Safety and Security at Marymount California University, CCPA regulations, NIST standards, VMS and much more.