Use AI to ask security questions in natural language and accelerate workflows. Explore relationships, entities, and events seamlessly, without needing to write or understand query syntax.
Proactively search for risky patterns and active lateral movement with real-time detections. Correlate assets with activity and visualize risks and exploitable links across resources.
Uncover compromised resources by combining various findings to quickly check for exposure to high-severity misconfigurations, compliance violations, and vulnerabilities. Get a 360° real-time view of critical cloud resources.
Combine context from runtime insights with static assessments to prioritize risks that matter most. Define, write, and execute on custom risk patterns based on adaptive queries tailored to each environment.
The security and engineering teams at BigCommerce use Sysdig to identify and eliminate misconfigurations and streamline compliance.
Sysdig’s CSPM is powered by a graph-based data engine that connects signals across cloud services, configurations, identities, and runtime activity. The graph model continuously ingests and correlates data from cloud APIs, configurations, identity permissions, and runtime insights. This allows you to prioritize real risk by understanding what’s actually in use and exposed in production — not just what’s flagged in a static scan.
Sysdig’s AI cloud security analyst, Sysdig SageTM, provides a natural language interface for CSPM that lets practitioners explore cloud assets and risk with simple questions, like “What workloads are affected by this CVE?” or “Which assets are noncompliant and exposed?” Sysdig Sage delivers precise, contextual details, translating raw security data into actionable insights.
Sysdig maintains an always-fresh inventory of cloud resources, enriched with compliance violations, vulnerabilities, and IAM misconfigurations. Combined, this approach minimizes alert fatigue and lets teams focus on what matters most: securing high-impact risks with full cloud context.