AI security, explained

The rapid adoption of Generative AI, which has evolved from experimentation to enterprise-wide use, has revealed a critical reality: most organizations have AI policies, but…

The rapid adoption of Model Context Protocols (MCPs) and AI integration technologies that standardize communication between models and external systems has led to new security…

Introduction Artificial intelligence (AI) systems are rapidly becoming foundational infrastructure across many modern enterprise environments. Unlike traditional applications, these systems introduce dynamic execution paths, probabilistic…

Modern software engineering teams increasingly rely on Visual Studio (VS) Code as the primary development environment for cloud-native engineering, DevSecOps workflows, infrastructure-as-code (IaC), and AI-assisted…

Introduction Software development is undergoing a significant transformation driven by large language models (LLMs), autonomous agents, and natural language interfaces. One notable paradigm in this…

AI-assisted coding is becoming more widespread, with developers increasingly relying on large language models (LLMs) to perform a variety of tasks. This trend is often…

From code-generation assistants to autonomous development agents, AI systems are increasingly being embedded across the entire software lifecycle. As organizations integrate AI capabilities into development…

AI coding assistants are collapsing the distance between intent and execution. Tools such as Cursor embed large language models (LLMs) directly into developer workflows. They…

Introduction AI coding assistants are now embedded directly into developer environments, with tools such as Claude Code capable of performing complex tasks. This has led…

Chrome browser extensions have increasingly become one of the most privileged, but often the least governed, execution layers in many enterprises. As AI-powered extensions proliferate…

Agentic AI is redefining how software operates, essentially shifting from passive systems to autonomous entities that can now plan, decide, and act. While this shift…

Enterprise Agent Governance: Monitoring AI Coding Agents Without Stifling Productivity The continued rise of AI coding agent tools such as Claude Code, Devin, and Cursor…

AI-Enabled Offensive Cyber Operations: Capabilities and Risks AI is continuing to transform offensive cyber capabilities through advances in large language models (LLMs), autonomous agents, and…

Supply Chain Risks of Agent Skills AI agents are rapidly evolving from simple automation tools into complex systems capable of performing a wide range of…

The software ecosystem has undergone a fundamental shift with the emergence of AI agents. Applications are no longer built from isolated codebases. They are now…

AI Code Security: Why Defenders Can’t Afford to Fall Behind As Artificial Intelligence (AI) rapidly transforms software development, tools capable of generating entire functions and…

In contemporary business settings, browser extensions have emerged as one of the most overlooked attack vectors. Under the glossy symbols and five-star ratings, there is…

Enterprise AI Security: Governing AI-Built Applications at Scale One of the key developments in Artificial Intelligence is that it is no longer confined to data…

AI Supply Chain Security: The Hidden Risk of Reused Models, Prompts, and Internal Apps While Artificial Intelligence is now embedded in enterprise workflows, customer-facing platforms,…

How a trusted browser extension can quietly become your organization’s biggest security blind spot, and what you can do to stop it.

Introduction The rapid adoption of artificial intelligence and related technologies is transforming software development faster than many traditional security frameworks can adapt. While this accelerates…

Introduction AI-assisted coding tools are rapidly transforming how software is written. Platforms such as Cursor embed Large Language Models (LLMs) directly into the Integrated Development…

Introduction Across industries worldwide, business teams no longer wait for IT backlogs to clear before starting to build new solutions. This has been made possible…

Introduction As Artificial Intelligence (AI) becomes increasingly embedded in organizational operations, the endpoint threat landscape continues to evolve. Endpoints are no longer limited to employee…

Introduction With the rapid rise in the use of Artificial Intelligence (AI)-powered automation tools, employees across organizations are now building applications on their own. While…

Introduction Artificial Intelligence (AI) has fundamentally changed how software is engineered and developed. Development tasks that previously required years of training can now be easily…

Workflow automation is now the foundation of contemporary productivity. Teams across many organizations use platforms like n8n to link programs, transfer data between systems, and…

Given current developments in the use of Artificial Intelligence (AI) in coding, it is clear that AI coding systems are no longer seen as mere…

If you’ve worked in cloud security (SOC) and cloud infrastructure long enough, you’ve undoubtedly encountered the agent sprawl issue, also known as agent fatigue, where…