Author: Deborah Jasmine Gabriel

Effective data protection hinges on data classification and risk assessment. This article explores how classifying data based on sensitivity enables targeted security measures and efficient resource allocation. A cornerstone of modern information management is the protection of data, which fundamentally relies on two processes: data classification and risk analysis. Data classification enables organizations to group data systematically in categories and select and rank it as per the mandatory measures of sensitivity and utility. Normally, data is labeled as public, internal, confidential, and highly confidential depending on the level of security involved. This is an effective way of identifying data that…

It is important to note that data protection is an iterative process, and organizations need to revisit their strategies and policies periodically. Over the last decade, work from home or remote working has been a growing trend in many organizations, and the recent global crisis has contributed to the expansion of this practice as well. Remote working implies teams being based in different locations and, as such, make it crucial for companies to protect their information. For any technical professional, it is critical to understand the risks that may be associated with such a working environment to effectively secure a…

No organization is immune to incidents and disasters. This article emphasizes the criticality of incident response and disaster recovery planning. Organizations rely heavily on their IT systems, operate smoothly and efficiently. However, no matter how robust and secure your systems are, incidents and disasters can still occur. That’s why having a well-defined incident response and disaster recovery plan is crucial for every organization. In this article, we will explore the importance of incident response and disaster recovery and discuss how businesses can effectively prepare for the worst-case scenario. Image Credit: Spiceworks Understanding Incident Response Incident response refers to the coordinated…

Data protection and compliance with regulations are paramount for organizations handling sensitive information. However, navigating the complex and diverse regulatory frameworks can be a daunting task. The protection of data is of utmost importance for any organization. With an increasing number of cyber threats and data breaches, organizations must navigate complex regulatory landscapes to ensure compliance and protect sensitive information. This blog post will delve into the importance of data protection and compliance, discussing the challenges organizations face and offering insights on how to navigate these intricate regulatory landscapes. Image Credit: Blogtrepreneur on Flickr Understanding Data Protection Data protection refers…

Data protection is crucial for businesses handling sensitive information, yet many organizations unknowingly make common mistakes that leave them vulnerable to cyber threats. Data protection is challenging since data, which nowadays is the most valuable asset, remains perennially exposed, which might result in information compromise. Data security becomes a top priority of companies that operate with sensitive information. These entities must stay one step ahead of data and information security and ensure that no information leak or data breach takes place. On the other hand, too many of them have complexities in terms of data protection that lead to their…

Traditional cybersecurity methods are falling short as cyber threats continue to evolve. Artificial intelligence (AI) and machine learning (ML) are revolutionizing threat detection through automated analysis of vast data sets, real-time identification of anomalies, and predictive capabilities to preempt attacks. The digital environment is changing at a fast pace, and cyber threats are becoming more complex and destructive. Conventional methods of cybersecurity are becoming less and less efficient against advanced techniques such as social engineering, zero-day exploits, and advanced persistent threats (APTs). Organizations need to incorporate more sophisticated threat detection capabilities in order to detect and thwart the threats before…

Edge computing is revolutionizing data processing by bringing computation closer to the source, enabling real-time decision-making across industries. Edge computing is a revolutionary technology that is reshaping how data is processed and used across various industries. By bringing data processing closer to where the information is being generated-whether it’s IoT devices, smartphones, or sensors-edge computing significantly reduces the latency, enhances performance, and supports real-time decision-making. Image Credit: Shridhar Gupta on Unsplash It is not just a case of faster transmission of data but it is about smarter and more autonomous systems that can react instantly. This article covers the basics…

Artificial Intelligence offers small businesses a competitive edge by automating processes, enhancing customer experiences, and driving data-driven insights. Artificial Intelligence (AI) is mandatory to survive in the marketplace. AI’s capability to learn and mimic human actions to achieve certain tasks creates new opportunities for small businesses. AI can level the playing field for small businesses as they can compete with large corporations without the latter’s resources. AI technology refers to systems that imitate human intelligence to perform tasks and improve itself based on data inputs. For small businesses, incorporating AI can improve efficiency, reduce costs, increase productivity, and deliver tailored…

Embark on your digital transformation journey with confidence by learning about the top cybersecurity pitfalls to avoid. The term digital transformation is often used to describe businesses that aim to introduce changes to their business models. Such change is important but has a negative impact on organizations in terms of multiple cybersecurity risks. When firms become digital, they gain many opportunities but these also provide additional avenues for cyber fraudsters to exploit. Image Credit: laboratorio linux on Flickr The following blog post presents an overview of the top cybersecurity pitfalls so that you are aware about how best to safeguard…

Stay ahead of emerging cyber threats in cloud environments. Ensure the integrity of your cloud data by adopting a multi-layered security approach. As organizations and people gradually transfer their data to the cloud, dealing with cloud security issues has become a thing of critical importance. Several companies struggle with security challenges that cloud computing always brings, especially protecting sensitive information from cyber threats. Image Credit: Freepik Understanding Cloud Security Threats A cloud security threat is one that risks the data, applications, and services that are in the cloud. These threats may damage the security, confidentiality, availability, or integrity of the…