Month: February 2026

As organizations increasingly rely on powerful cloud-based AI services like GPT-4, Claude, and Gemini for sophisticated text analysis, summarization, and generation tasks, a critical security concern emerges: what happens to sensitive data when it’s sent to external AI providers? Personal Identifiable Information (PII) — including names, email addresses, phone numbers, social security numbers, and financial

GPUs are a core feature of modern cloud platforms, used to support a wide range of machine learning training, inference, analytics, and simulation workloads. To support this diverse demand, GPUs can no longer be dedicated to a single team or application. Dedicated GPU solutions have quickly become infeasible and very expensive. To meet this demand,

Organizations rely on different methods for data backup, depending on factors such as data criticality. There are several options, ranging from DIY scripts to third-party backup vendors. The effectiveness of these approaches depends on how well they protect data and support timely recovery after an incident. In DevSecOps, data resilience is key, which puts backup

For over two decades, Active Directory (AD) has been the “central nervous system” of enterprise IT. It manages who gets in, what they can access, and when. Because of this centrality, it is the single most valuable target for an attacker. If you control AD, you control the organization. The traditional security architecture for AD

In the current landscape of ransomware and sophisticated SQL injection attacks, standard database security is no longer sufficient. We rely heavily on cryptographic hashes (such as SHA-256) to verify data integrity. The logic is simple: if the hash changes, the data was altered. But there is a flaw in this logic. If an attacker gains

If you’ve ever deployed a large language model (LLM) in production, you might know the uncertainty that comes with it. Will the model refuse a legitimate request? Will it be too agreeable when it shouldn’t be? How does one even test for behaviors that emerge only in specific, hard-to-predict scenarios? Manual red-teaming and hand-crafted evaluation

Domain ownership verification is a fundamental security mechanism that proves you control a specific domain. Whether you’re setting up email authentication, SSL certificates, or integrating third-party services, understanding domain verification methods is essential for modern web development. In this article, we’ll explore the three most common verification methods, their trade-offs, and practical implementation patterns. I

For over 20 years, static application security testing (SAST) has been the foundation of secure coding. However, beneath the surface, many legacy SAST tools still operate using basic techniques such as regular expressions and lexical pattern matching; essentially, sophisticated versions of the Unix command grep. As a result, most SAST tools suffer from what I