Sysdig, a leader in real-time cloud security, has unveiled its new Model Context Protocol (MCP) server alongside a partner integration hub, delivering AI-driven security insights across enterprise ecosystems. The new offerings enable organizations to consolidate data from diverse security tools—including application security, supply-chain risk, and API protection—and enrich it with runtime intelligence to identify vulnerabilities, exposures, and threats.

The MCP server integrates seamlessly with preferred AI platforms, allowing teams to access enriched security insights through flexible queries. By uniting third-party context with runtime data, Sysdig offers a comprehensive view of every cloud asset, including its location and ownership, helping security teams prioritize remediation, enhance accountability, and reduce overall cloud risk.

“Context has always been crucial for security, but with AI, it becomes indispensable,” said Shantanu Gattani, SVP of Product at Sysdig. “This launch allows customers to bring third-party findings into our platform while extending our runtime insights directly into the AI workflows they already rely on.”

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AI-Powered Runtime Security

The MCP server allows AI platforms like ChatGPT, Claude, and Gemini to interface directly with Sysdig’s services. Embedding runtime context into AI-driven workflows expands the reach of Sysdig’s cloud security intelligence beyond its cloud-native application protection platform (CNAPP), enabling faster decision-making, intelligent automation, and actionable insights.

Potential use cases include:

Accelerated incident response: When a critical runtime event occurs, the MCP server can notify on-call engineers via Slack or Teams, automatically opening enriched PagerDuty incidents complete with forensic context.

Code-to-runtime vulnerability remediation: Users can request the MCP server to create tickets in Jira for vulnerabilities detected in deployed applications, linking issues directly to the source code in GitHub.

Tailored cloud remediation: Combining runtime insights with cloud provider data allows security teams to identify and resolve environment-specific exposures, ensuring fixes are accurate and effective.

Chris Coburn, Senior Director of Tech Alliances at Sysdig partner Torq, noted, “The integration of AI-driven Torq HyperSOC with Sysdig runtime insights empowers organizations to cut through noise, respond faster to critical threats, and reduce risk at scale.”

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Streamlined Partner Integration

Sysdig’s partner integration hub simplifies connecting CNAPP data with platforms such as Checkmarx, Mend.io, Semgrep, and Snyk. By combining runtime insights with source code and dependency information, customers gain better visibility into risk, clearer ownership, and actionable remediation guidance.

Key benefits include:

  • Faster root-cause analysis: Linking runtime vulnerabilities to specific repositories and owners can reduce mean time to respond by up to 76%.
  • Improved remediation guidance: Customers receive precise patch or version upgrade recommendations, saving over 80 hours per week previously spent on manual triage.
  • Reduced noise: Consolidated, context-rich views filter out more than 98% of low-risk alerts, enabling teams to focus on critical threats.

Daghan Altas, VP of Product at Semgrep, added, “By connecting runtime security insights with development workflows, organizations can detect issues earlier, remediate faster, and strengthen security throughout the software development lifecycle.”

Sysdig’s MCP server and partner integration hub represent a significant step in delivering actionable, AI-powered security intelligence across cloud environments, helping organizations make informed decisions while reducing risk.

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