The dark web, often shrouded in mystery and intrigue, is a realm of the internet that exists beyond the reach of traditional search engines. While the Dark Web does harbor a certain notoriety for hosting illegal activities, it also contains valuable information and resources that can be beneficial for professionals involved in cybersecurity, threat intelligence, and investigations.

In recent developments, a sophisticated malware stealer strain crafted in the Go programming language has been discovered by AT&T Alien Labs, posing a severe threat to both Windows and macOS operating systems. As of the time of publishing of this article, traditional antivirus solutions have low or even non-existent detection rates, making it a stealthy and formidable adversary.

Referenced in popular films and television programs, “The Dark Web” has achieved what many cyber security concerns fail to do in that it has entered the public consciousness. It is generally understood that the dark web is a collection of on-line sites and marketplaces, notorious for facilitating illegal activities and harboring stolen information.

Data is the lifeblood of organizations. It drives decision-making, fosters innovation, and underpins business operations. However, this wealth of data is scattered across multiple cloud platforms, making it an attractive target for cybercriminals, and rendering traditional approaches to data protection obsolete. This is where data-centric security comes into play. This article will explore the concept of data-centric security, why businesses need it, and the benefits it offers.

Knowledge is power and collaboration is key for organizations to continuously adapt and improve their security measures in order to stay ahead of cybercriminals. An effective way to stay ahead is by enhancing an organization's security posture through cybersecurity threat intelligence sharing.

Artificial intelligence (AI) is poised to significantly influence various facets of society, spanning healthcare, transportation, finance, and national security. Industry practitioners and citizens overall are actively considering and discussing the myriad ways AI could be employed or should be applied.

Ever since the invention of internet browsers for personal computers came about in the 1990s, cybercrime has been on the rise. Almost 30 years after the invention of the Worldwide Web, cybercriminals have a variety of different methodologies and toolkits that they use on a daily basis to leverage vulnerabilities and commit crime. One of the most popular types of attacks that is used by threat actors is a ransomware attack.

In this digital era, as data is produced and gathered more than ever before, the importance of data security has surged. Given the widespread use of social media, e-commerce, and other online services, individuals are sharing their personal details with numerous entities.

Information security requirements and standards are in a constant state of evolution. Recent issues, such as COVID-19 and the growing global reliance on mobile devices and remote work solutions, have played important roles in this ongoing transformation. At the same time, the increasing sophistication of cyber attackers has added new layers of complexity to the cybersecurity landscape.

Hybrid operations are becoming an increasingly prevalent part of the business landscape. Certainly, this offers some fantastic opportunities for companies to reduce overhead costs and gain access to international talent. Yet, there are some distinct challenges hybrid workforces face, too.