In an era of increasingly sophisticated security threats, CIOs, CISOs, and COOs alike need to be more committed than ever to protect their data, facilities, and teams.
The lack of visibility into the expanded cloud attack surface is a fast-growing problem that is only getting worse. Although we have seen misconfigurations in the cloud before, the Capital One breach is a sobering reality check for the security industry. We need to vastly improve threat detection and response in cloud environments.
This summer, more than one million Capital One clients had their information breached, furthering the financial sector’s infamous reputation of being the most breached industry with 35 percent of all data breaches.
More than 10 years ago, I was deployed to Iraq as a U.S. Air Force intelligence analyst, assigned to the Joint Special Operations Command (JSOC) Task Force with one clear objective: disrupt terrorist activities by targeting and capturing al-Qaeda insurgents.
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.
When budgeting for video surveillance cameras, there are multiple factors to consider that affect cost beyond the camera itself. It’s important to also know the cost of installation, and the cost to service or upgrade a unit in the future. While configuring a small number of cameras will likely have little impact on cost, the labor involved in installing and servicing hundreds of cameras can be significant. A modular approach to camera design is necessary to reduce the installation costs and long-term maintenance of such cameras.
Travel is constantly evolving and there always seem to be new, easier and efficient ways to conduct business while on-the-go. However, as the industry evolves, it’s important for travelers and businesses to stay up-to-date on new services and best practices to efficiently communicate with employees and ensure overall safety.
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.
RSS
