You may be surprised to learn that a particular malware is responsible for data theft in over 20% of financial institutions and other verticals in 2019. Watering hole attacks involve a web server that hosts files or applications where the website or files on the site become weaponized with malware. While recent news cycles have shined a spotlight on ransomware and crimeware, malware is not a new concept.

The global cases of Novel Coronavirus are continually ticking upward in most parts of the world, and with every new case come further questions about the patients. Hospitals, governments and even general population is interested to know who the affected people are, what their health history is, which locations they visited, and who they interacted with prior to receiving positive test results.

Software-defined wide area networking (SD-WAN) is a distributed networking approach that provides organizations a sustainable alternative to high latency hub-and-spoke network topologies.

Waterfall. Agile. Scrum. Kanban. Lean. These words are often thrown around when talking about the software development life cycle (SDLC), but what do they mean and how do they relate to each other? In this blog, we’ll take a look at the evolution of the software development life cycle and consider several current trends.

Let’s begin with a short story. Imagine that we have two large organizations in the public sector. These entities are very similar. Both are on the receiving end of cyber threats. Both adhere to multiple compliance standards. And both need to ensure that their IT systems are functioning and working as planned. But they’re not entirely the same. Take Organization A, for example.

Cloud environments like AWS can be a challenge for security monitoring services to operate in since assets tend to dynamically appear and disappear. Making matters more challenging, some asset identifiers that are stable in traditional IT environments like IP addresses are less reliable due to their transient behavior in a cloud service like AWS. Amazon GuardDuty protects your AWS environment with intelligent threat detection and continuous monitoring.

Our digital surface is expanding rapidly and threats are becoming more sophisticated day by day. This is putting enormous strain on security teams, which have already been stretched to the limits. Nonetheless, organizations are skeptical of relieving this cybersecurity strain with AI and automation. Why does this situation persist when it’s simply against the logic?

Reliability is essential to the functionality of an electric power grid. This principle guarantees that a constant qualitative and quantitative supply of electric power is flowing from a provider to businesses, homes and more. It’s what enables electric power to drive life forward in modern society. As a result, there’s reason to be concerned about events that threaten the reliability of the power grid. Those events include misoperations.

Artificial Intelligence, a digital sharing economy, and various services are changing every aspect of our lives. Global powers are competing for a bigger presence in the new digital economy and trade. Information is the cornerstone of the digital economy. The freedom and openness of the internet, as well as the removal of trade barriers, has opened a new battleground. The recent Covid-19 pandemic has opened a Pandora’s Box with cyber-hackers having ready access.

The diverse and fast-changing nature of the Managed Detection and Response (MDR) market makes the process even more difficult. A new report, MDR Market Guide: reducing the costs and risks of cybersecurity investments, from independent technology research and analyst house, Bloor, outlines the key features to consider when selecting an MDR provider.