Ransomware is one of the most dangerous cyber attacks to businesses and consumers. This type of malware holds files and data hostage until a ransom is paid. Ransomware incidents can result in data loss, financial losses, and even ransomware payments. In order to protect your business from ransomware-based data breaches, it is important to understand ransomware statistics, ransomware trends, and the best practices for ransomware prevention.

The content of this post is solely the responsibility of the author. AT&T does not adopt or endorse any of the views, positions, or information provided by the author in this article. Data continues to be a valuable asset for an organization and plays a crucial role in making operational and strategic business decisions. With the growth of hybrid, private, and multi-cloud models, much of the data is stored on these platforms and becomes vulnerable to malicious activities and potential data leaks.

Over the last few years, we have seen more and more organizations moving into hybrid and remote working environments. With that change, IT teams have learned that they cannot trust the network like they have in the past. Using the internet, employees now have direct access to your organization's resources, circumventing traditional security tools like virtual private networks (VPNs) and firewalls.

Data. Clive Humby, the British Mathematician said it best in 2006, “Data is the new oil”. These zeros and ones stored in virtually every corner of the world now power industries and hold tremendous power in decisions companies make. Where do I invest, what are my customers doing, and critically, what does the future hold? Alternatively, data can also be used against companies.

You probably don’t need anyone to tell you that, today, infosec and cybersecurity are challenging and fast-paced endeavors. In the last five years alone, we’ve seen a myriad of industry altering developments — from an ever expanding universe of privacy compliance legislation and the permanent entrenchment of hybrid and remote work, to growth in the size and scope of data breaches — the world of security has proven ever complex and ever-shifting.

Today in a technology-driven business world, network security is an utmost priority for all businesses, especially for those dealing with sensitive data. More so, in an organization that works in a hybrid environment wherein information and critical data are accessed remotely, the need for securing such data and network is important. This has led to a paradigm shift in the approach of establishing a robust security program and security implementations within the organization.

2022 revealed that security challenges remain for organizations leveraging GitHub. Between supply chain attacks, API key leaks, and other security risks, there are plenty of lessons and takeaways from this year’s GitHub-related headlines. In this post, we’ve rounded up and categorized the year’s largest GitHub stories. Read on to learn more about the types of security risks occurring in GitHub and the lessons you’ll want to take with you into 2023 and beyond.

Last month, we announced the open beta of Snyk’s new and revamped reporting. Since then, we’ve been amazed at how creative our customers have been in leveraging these new capabilities to answer all sorts of different security questions. We’re not surprised. The new reporting was designed to provide easy access to data across the Snyk platform (including Snyk Code!), and to give customers flexible analysis tools to slice and dice data as they see fit.

In a market projected to grow to $288.30 billion by 2030, data centers will expand to facilitate more data-driven workloads, including AI and big data. Much of this expansion continues to occur in the cloud, as companies seek to reap the benefits of low-cost infrastructure that they can spin up as needed. In fact, research shows that cloud workloads represented 94% of all data center workloads worldwide in 2021.

We create 2.5 quintillion bytes every day. 90% of data in the world today was created in the last two years. This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few. This deluge of data is called Big Data.