Launch - AI Remediation for Containers

As Head of AI at Cycode, I led the development of our new AI Remediation for Containers—built to move teams beyond “finding” and into fast, reliable fixing.

When a scanner flags a vulnerability in a container image, developers are often left guessing what to change and where. Our new capability traces vulnerabilities discovered by Cycode and leading tools like CrowdStrike, Upwind, Wiz, and Palo Alto Networks back to their true source—whether in a Dockerfile or the application code—and provides step-by-step remediation actions.

From Find to Fix: How AI Remediation for Containers Works

Cycode automatically creates code-to-cloud correlation between container images and the originating source repositories to provide immediate visibility and ownership:

• Correlates via container registries (e.g., Docker Hub, ACR, ECR) by matching image contents and metadata to Dockerfiles and build artifacts
• Correlates via build logs by analyzing docker build and docker push commands to link images to specific repos and commits
• Pinpoints whether a vulnerability originates from a base image, explicit Dockerfile installation, or application dependencies
• Generates AI-powered remediation: clear, step-by-step instructions to fix issues at the source

The Cycode Difference: Fix the Container Risks that Matter

• Prioritize risk, not noise, with exposure path analysis and risk scoring
• Accelerate remediation with AI-guided, repository-aware fixes
• Empower developer efficiency by eliminating guesswork and surfacing owners

Container Security for the AI Era is Here

By connecting runtime vulnerabilities to their root causes in code—and connecting risks with owners and owners with fixes—we shorten the lifecycle of container violations from days to minutes.

Learn more

• Cycode blog: “Cycode Introduces AI Remediation for Containers”