AI echolocation of cloud risks using Sysdig & Snyk MCP servers

This piece outlines a workflow for using AI and the Model Context Protocol to integrate Snyk (SAST/IaC) with Sysdig (runtime context, SysQL, events) so security teams can correlate code-level vulnerabilities with real cloud exposure and behavior. It describes prompts and steps to identify vulnerabilities, match them to live Kubernetes workloads, retrieve risk factors and runtime events, and then generate prioritized, actionable reports and Jira tickets—shifting from static vulnerability lists to context-driven threat modeling and remediation.