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.
Operational resilience refers to a business’s ability to prevent, respond to, recover and learn from operational disruptions. Without operational risk management, operational disruption to a business can impact financial stability, threaten the business’s overall viability, and/or harm consumers and other businesses. Yet challenges to ensuring resilience and continuity abound, and they grow more complex each year. But here is the good news: Solutions exist.
Virginia Gay Hospital based in Vinton of Iowa state has suffered a data security incident, which might have led to disclosure of personal information of 5,030 patients.
Dave Estlick, CISO of Starbucks, will keynote at the 2019 Retail Cyber Intelligence Summit, presented by the Retail and Hospitality Information Sharing and Analysis Center (RH-ISAC).
How do enterprises account for the safety of all traveling employees? How can they further mitigate cybersecurity issues that traveling employees face?
