Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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Welcome to the DevOps multiverse. Here, code is currency, while platforms like GitHub, Jira, and Confluence power critical infrastructure. Here, even the smallest misstep can trigger a chain reaction measured in gigabytes of leaked data, thousands of compromised credentials, and millions of dollars in financial losses, not to mention reputational damage. These risks aren’t theoretical.

Companies face increasingly complex challenges every day, including cybersecurity threats aimed at disrupting their digital operations. One of the most frequent and damaging is the DDoS attack, which can take websites, applications, and critical services offline. Understanding what is a ddos attack is essential to identify risks, prevent attacks, and protect your organization’s digital infrastructure. In recent years, there have been attacks that marked a turning point in cybersecurity.

If you’re building AI systems with agents, plugins, and orchestration layers and you’re only thinking about how to route traffic, you’re halfway to being pwned. Everyone’s rushing to build a Model Context Protocol (MCP) — and that’s great. But almost no one’s talking about MoCoP — the Model Control Plane, which is just as important and arguably where the riskiest stuff happens. (Also, side note, who the hell keeps making these damn acronyms so confusing?

Today, we’re excited to announce a preview of the Model Context Protocol (MCP) Server for Nucleus. This marks an important step towards AI-native workflows for vulnerability and exposure management. Model Context Protocol (MCP) is an emerging industry standard enabling seamless integration between enterprise applications and AI models. Backed by leading organizations like OpenAI, Microsoft, and Google, MCP servers are quickly becoming the foundation for AI-enablement across the enterprise.