If Your Cloud Could Talk: Introducing Security with MCP

Stream's Model Context Protocol (MCP) is a new offering that allows users to interact with their CloudTwin using natural language, integrating these interactions into workflows and AI tools to improve security operations. While Large Language Models (LLMs) have limitations when processing raw logs due to a lack of contextual understanding, the CloudTwin offers real-time, structured, and context-rich data that enhances LLMs' ability to provide accurate insights. MCP simplifies security processes by enabling analysts to ask direct questions and receive precise, actionable answers quickly, bypassing the need for complex queries or data aggregation from multiple sources. This system translates questions into operations on the live CloudTwin model, facilitating faster and more efficient security investigations. Examples include identifying network access across cloud platforms, detecting recent configuration changes leading to vulnerabilities, and tracking unusual activities of IAM roles. By providing a real-time, comprehensive view of cloud environments, MCP empowers security teams to make informed decisions based on reliable and up-to-date information.