Microsoft SharePoint has a mature, well-structured security model. It gives organizations control over who can access sites, libraries, and documents, and for most day-to-day needs, it works well. But there is a fundamental limitation built into how SharePoint security works: it controls access based on role, not on the sensitivity of the content itself.

Why do most Kubernetes security tools miss runtime threats? Most Kubernetes security tools were built to scan configurations and images, not to watch what’s actually happening in clusters. They tell you what might be wrong but can’t show what’s actually being attacked. Static scanning finds theoretical risks—a CVE exists somewhere in your container image.

Security vendors love the man-in-the-middle attack. It’s the boogeyman of every TLS marketing page. Some shadowy figure intercepting your traffic, reading your secrets, stealing your data. A man-in-the-middle attack is when an attacker positions themselves between two parties on a network to intercept the traffic flowing between them. In the context of TLS, that means an attacker who can present a valid certificate can read everything in plaintext and proxy it on to the real server.

When it comes to protecting business-sensitive data, understanding the difference and the scope of Network DLP, Endpoint DLP, and Cloud DLP is essential. Each of these Data Loss Prevention solutions (DLP) plays a unique role in securing data across various environments, whether it is on the Network, on individual devices, or in the Cloud. Knowing how each solution works can help you determine the best approach to safeguard your organization's sensitive information.

The biggest ransomware attacks of 2025 have shown that this threat remains critical for organizations across all sectors. Incidents such as the Change Healthcare attack, which compromised the data of nearly 190 million individuals, and the attack on Jaguar Land Rover, which forced production lines to halt and caused losses amounting to hundreds of millions of dollars, show that a single incident can impact both operational continuity and information confidentiality.

Data Loss Prevention (DLP), also called data leakage protection, is a cybersecurity approach designed to detect, prevent, and manage unauthorized access, sharing, or transfer of sensitive information. In simple terms, DLP helps organizations keep control of critical data such as personally identifiable information (PII), financial records, credentials, and intellectual property (IP).

U.S. state privacy compliance now operates in an environment that doesn’t stand still. The number of state laws keeps growing, and their requirements continue to evolve through new effective dates, amendments, and guidance. By January 2026 alone, Indiana, Kentucky, and Rhode Island added three more state privacy laws. This makes one thing clear. Compliance is no longer something you implement once and revisit periodically. It has to stay accurate as the requirements keep shifting.