Learn the key differences between Personally Identifiable Information (PII) and Sensitive Personal Information (SPI), as well as their definitions, examples, and regulatory requirements. Understanding these distinctions is crucial for effective data protection and compliance with evolving privacy regulations.

A data security policy is an organization's set of guidelines and rules for managing and protecting its data assets. Learn what goes into a data security policy, how to implement one, and best practices in this new blog.

Not every organization can afford to engage in a data arms race to remain competitive in the data-hungry era of generative AI and large language models. However, embracing data classification best practices is a cost-effective way to get the desired outcomes from your data, highlighting its important value, risk sensitivity, and compliance requirements. Data classification best practices involve a...

You don’t know you’ve experienced a ransomware attack until you’ve been delivered the note. Understanding more about the ransomware process can help you stop the attack in the act before it escalates that far.

Cybersecurity experts offer insights into safeguarding digital assets and protection strategies. Explore the emerging role of AI in enhancing cybersecurity efforts.

Data privacy best practices are guidelines or strategies organizations use to ensure the privacy and protection of user data. Learn some of the best data privacy best practices, along with their benefits, in this new blog.

Bottom-feeding cybercriminals are seizing new opportunities in the wake of a massive Crowdstrike outage. Meanwhile, more prominent hackers from China, North Korea, and Russia aren't showing signs of slowing down. Read up on all these stories in this week's Friday Five!

Recent years have seen confusion around how to define vulnerability management. In this blog, security expert Antonio Sanchez sets the record straight, exploring the technology’s process and use cases.

As ransomware and genAI continue to pose major risks for organizations globally, it was a mere software update that caused major global Microsoft outages this past week. Find guidance on how to respond to these threats and more in this week's Friday Five.

Organizations must collect and manage data effectively to remain competitive in today’s digital world. Data management is a vital area of enterprise management, with good practices necessary for regulatory compliance, business intelligence, and competitive advantage.What Is Data Management?Data management refers to the process of collecting, storing, organizing, and using data efficiently,...

A data retention policy guides businesses on storing, securing, and accessing data, including duration and access permissions. Learn more about how they work and why they're important in this blog.

A recent report released by the White House revealed the circumstances, tactics, and results of the 11 cybersecurity incidents determined by agencies to meet the threshold for “major incidents” in the 2023 fiscal year. See the pitfalls and spot the similarities.

Every year, AWS re:Inforce brings together cloud security specialists and AWS experts alike to see and advance what’s new on the cloud security horizon. Fortra’s Mike Reed, Director of Global Alliances, walks us through what he saw on the ground floor as he covers several of this year’s key highlights.

The first thing that everyone’s going to talk about this month is SQL Server. More than a quarter of the CVEs assigned by Microsoft this month describe SQL Server vulnerabilities. Thankfully, none of them are critical based on their CVSS scores and they’re all listed as “Exploitation Less Likely.”

Data privacy, or information privacy, concerns IT's aspect involving control over data sharing by individuals or organizations. Read this post to learn more about why data privacy is important, along with best practices to strengthen data privacy.

Data classification levels have various use cases in businesses and governmental institutions. They define how data should be handled based on sensitivity and importance, allowing for more effective and secure data management.What Are Data Classification Levels?Data classification levels are categories used to organize data based on its sensitivity, confidentiality, and potential impact should it...