Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Understanding the ENS Framework: A Guide to Spain's National Security Framework

As governments continue to digitize services, the number of systems that support public administration continues to grow. With this expansion comes greater cybersecurity risk. To address these risks, Spain established the Esquema Nacional de Seguridad (ENS), a national framework designed to protect information systems used by public sector organizations. ENS defines the security requirements that ensure government systems remain secure, reliable, and resilient.

Logs & Lattes Episode 5: Top 10 Cybersecurity Threats Hybrid Teams Actually Face in 2026

Lean security teams operating in hybrid and regulated environments are not just fighting threats. They are fighting time. When evidence is scattered across email, identity, VPN endpoints, cloud, and network tools, even a solid detection means nothing if triage slows to a crawl. In this episode of Logs and Lattes, host Palmer Wallace and Graylog Solutions Architect Kyle Pearson break down the top ten security threats hybrid organizations are actually dealing with in 2026 and the single common failure behind most of them: fragmented telemetry that delays investigation when it matters most.

Detecting Notepad++ CVE-2025-49144 Using Sysmon Logs

Text editors rarely show up in threat models. Installers show up even less. CVE-2025-49144 changes that. The issue is a local privilege escalation in the Notepad++ Windows installer that can allow a low-privileged user to gain SYSTEM-level execution by abusing insecure executable search behavior during installation. Affected versions include Notepad++ 8.8.1 and earlier, per the NVD record.

The Human-AI Alliance in Security Operations

Picture a SOC analyst starting an investigation. A suspicious spike in authentication activity appears on their dashboard, and they need to understand what’s happening quickly. To do that, they move through a familiar sequence of tools. What begins as a single investigation quickly turns into a chain of context switches: That’s nine steps to investigate one event. This isn’t accidental. Security tools have evolved to solve isolated problems, but together they have created fragmentation.

Anomaly Detection with Machine Learning to Improve Security

Being a security analyst can feel like being trapped in a Where’s Waldo book. You can find yourself staring at a data stream looking for something that “isn’t like the others.” However, as your organization collects and correlates more data from the environment, finding the Waldo can feel overwhelming. In a modern IT environment, organizations have hundreds or thousands of devices, users, and data points that they need to correlate so they can identify normal network activity.

Compliance Readiness with Audit Logging

Whether pulling items together for a holiday dinner or prepping weekly meals, you need to have all the ingredients necessary to cook the meals you want to eat. Often, this means making a grocery list, checking off items as you take them from the shelves, and, possibly, grumbling when one of the items isn’t available. In the IT and business worlds, audit logging is the shopping list that helps organizations with compliance readiness.

How to Ignore Cybersecurity AI Bubble FOMO

Cybersecurity teams are no longer circling an AI bubble. Rather, they are staffing inside it, buying within it, and getting measured by it. This matters because bubbles create a predictable trap: expectations are set higher than teams truly can deliver. Cato Networks CEO Shlomo Kramer recently told Business Insider the market is experiencing an AI bubble driven by heavy investment and AI-driven profit improvements, which he expects to unwind. A correction will not pause attacker activity.

SIEM Automation to Improve Threat Detection and Incident Response

Security professionals often compare their jobs to a game of “Whack-a-Mole,” the arcade game where players try to hit little plastic moles on the head. The moles pop up in a randomly generated way, making it difficult to predict which one will show its little head next.

Using LLMs, CVSS, and SIEM Data for Runtime Risk Prioritization

A recent University of North Carolina Wilmington study tested whether general-purpose large language models could infer CVSS v3.1 base metrics using only CVE description text, across more than 31,000 vulnerabilities. The results show measurable progress, but they also expose a hard limit that matters far more than model selection: Model quality helps, but missing context sets a ceiling on reliability.

Why AI Transformations in Security Fail Like New Year's Gym Resolutions

Enterprise AI adoption moved fast. Speed mattered. Shipping mattered. Getting AI into production mattered. That phase is over. Security leaders are now asking a harder question: whether the AI already embedded in security operations is safe, explainable, and aligned with how modern SOC teams actually work. The focus has shifted from adoption to trust, specifically explainability, governance, and operational fit.