The Model Context Protocol (MCP) has quickly become one of the easiest ways to connect AI assistants to real systems. With MCP, an agent can talk to Jira, GitHub, databases like Postgres, or internal tooling without every team having to invent a custom integration from scratch. That speed, however, comes
The Model Context Protocol (MCP) was built to solve a practical problem: large language models do not know your internal context, so they need a standardized way to request it. In enterprise settings, that context is usually “safe-ish” and remote, such as Jira tickets, internal documentation, or a knowledge base.
Continuous Integration and Continuous Deployment (CI/CD) pipelines have become the backbone of modern software delivery. The same automation that helps teams ship quickly also concentrates power: a single workflow can build artifacts, deploy to production, rotate secrets, and manage infrastructure. For years, the most common way to connect GitHub
Kubernetes has become the default platform for running modern applications, especially microservices. That convenience, however, comes with a security reality that many teams underestimate: a Kubernetes “container boundary” is not the same as a virtual machine boundary. In many real incidents, attackers do not need a single catastrophic zero-day to
Modern web applications ship more logic to the browser than ever before. Single Page Applications (SPAs) rely heavily on JavaScript to handle routing, feature flags, and data access, which means the client often contains a surprisingly complete “map” of the backend it talks to. For security testers, that is an
In enterprise environments, the most dangerous targets are not always the endpoints users carry around. They are the systems that control those endpoints. Fortinet FortiClient Endpoint Management Server (EMS) sits at the center of many organizations’ remote-access and endpoint security posture. It pushes VPN configurations, enforces endpoint control policies, and
For a long time, prompt injection was treated as a party trick. Someone would slip a clever instruction into a chatbot prompt, the model would “break character,” and the result would be mildly embarrassing. That era is over. In 2026, the security impact of prompt injection has changed because AI
Cloud infrastructure moves fast. DNS does not. That gap between a resource that no longer exists and a DNS record that still points to it, is where subdomain takeover lives. Since this blog was first published, readers correctly pointed out that one of the three techniques described is no longer
The Model Context Protocol (MCP) is quickly becoming the connective tissue between modern AI assistants and enterprise systems. Instead of being limited to a static knowledge base, an AI agent can use an MCP server to fetch Jira issues, read Confluence pages, summarize internal documentation, and even take actions across
Workflow automation platforms sit at the heart of modern operations. They move data between SaaS tools, internal services, cloud infrastructure, and databases. In practice, that makes them more than just “automation software.” They become high-trust integration hubs that store secrets, hold privileged tokens, and often run with broad network access.
For a long time, finding race conditions in web applications felt like gambling with timing. Security testers would throw bursts of concurrent requests at an endpoint, hope the server “tripped,” and then try to reproduce a bug that only appeared when network latency happened to line up just right. That
Modern security conversations still revolve around the familiar greatest hits: SQL injection, cross-site scripting, exposed admin panels, and the steady stream of web flaws that dominate headlines and bug bounty write-ups. Those issues matter. But they are no longer the whole story. Advanced threat actors are increasingly aiming lower in