
decrease in active container vulnerabilities
reduction in vulnerability noise
engineering hires and months of development time saved
Automatically discover and classify data in the cloud to surface risks, elevate critical patching and misconfiguration fixes, and focus on the most pressing threats.
Sysdig filters out noise by prioritizing vulnerabilities tied to in-use packages, enriched with context like exploitability, exposure, and asset criticality, so teams can focus on real risk.
Sysdig provides a connected view of risk with our attack graph, while CVE360 offers a complete picture of each vulnerability, including its source, affected resources, and how to fix it.
Sysdig identifies simple, high-impact fixes and pairs them with AI-generated guidance to help teams act quickly and reduce risk with confidence.
Neo4j needed a cloud security platform that was easy to deploy, had low overhead, and provided unified coverage across their cloud environment. With Sysdig, security and development teams now collaborate through shared visibility, reducing friction and accelerating decisions.
Sysdig’s vulnerability management solution combines runtime insights, unified cloud context, and AI-powered guidance to help teams fix the vulnerabilities that matter most, faster and with confidence. Sysdig correlates vulnerability data with risk factors like exploitability, reachability, and runtime activity to identify the vulnerabilities that need to be addressed right now.
At the core is Sysdig Sage, Sysdig’s AI–powered security analyst. It translates complex vulnerability data into natural language remediation instructions with precise commands to execute. Whether you’re a security engineer or a developer, Sysdig Sage provides clear, actionable steps to address issues efficiently.
Sysdig also identifies high-impact fixes at the source, such as a patch to a base image that resolves dozens of downstream vulnerabilities. Tight integration with ticketing systems ensures remediation workflows are automated and targeted, cutting down on back-and-forth and accelerating time to remediation.