NetBIOS (Network Basic Input/Output System) was developed in the 1980s to enable applications on different computers to communicate over local area networks (LANs). A component of this suite, NetBIOS Name Service (NBNS), assists in the name resolution process when traditional DNS mechanisms are either misconfigured or unavailable.
In today’s threat-laden digital landscape, the saying, “You don’t know what you don’t know,” is especially true in cybersecurity. Penetration testing (pentesting) is the antidote to this uncertainty. After analysing tens of thousands of network assessments across industries and geographies, one conclusion becomes inescapable: most security gaps are not the result of sophisticated nation-state exploits, but simple, preventable oversights. For C-Suite executives tasked with safeguarding their organisations, understanding what pentesting truly reveals is not just a compliance necessity—it’s a strategic imperative.
The rapid advancement of deepfake technology has transformed the cybersecurity threat landscape, particularly for C-level executives. Deepfake-enabled cyberattacks exploit artificial intelligence (AI) to create highly convincing fake videos, audio recordings, and images. These attacks are not merely theoretical; they are being actively used to defraud organisations, manipulate financial transactions, and compromise sensitive information.
For C-suite executives, the implications of deepfake threats are severe. Attackers can impersonate senior leadership to authorise fraudulent wire transfers, extract confidential data, or even manipulate corporate decision-making. Given the high stakes, it is critical for organisations to implement effective countermeasures.
The emergence of Agentic Artificial Intelligence (AI) is set to redefine how modern infrastructure is deployed, managed, and scaled—especially within Kubernetes (K8s) environments. At its core, Agentic AI introduces autonomous, goal-driven agents capable of planning, executing, and adapting within dynamic cloud-native ecosystems. For Software Architects and C-Level Executives, this is not just another incremental leap in automation—it is a paradigm shift that profoundly impacts ROI, operational efficiency, and cybersecurity postures.
FortiAI, developed by Fortinet, is a next-generation Agentic AI-powered cybersecurity platform designed to autonomously detect, investigate, and respond to threats across enterprise environments. It introduces the concept of a Virtual Security Analyst (VSA)—an embedded machine-learning engine that mimics human threat analysis, but operates at machine speed and scale.
FortiAI dramatically enhances the value of Vulnerability Assessment and Penetration Testing by providing live, intelligent threat interpretation and automated response orchestration.