- Correlation & Root Cause Analysis: Cycode’s new code-to-cloud correlation automatically traces vulnerabilities found in container images back to their exact origin in your source code or Dockerfile.
- AI-Powered Remediation: Go beyond detection with AI Remediation, which provides developers with precise, step-by-step instructions to fix container vulnerabilities at the source.
- Slash Mean Time to Remediate (MTTR): Drastically cut your MTTR by eliminating guesswork and empowering developers with clear, actionable solutions.
- Boost Developer Efficiency: Free up developers to focus on innovation instead of tedious security investigations. Cycode delivers the “how” and “where” for the fix, not just another alert
A scanner flags a critical vulnerability in a running container, and the clock starts ticking. For security and development teams, this triggers a cascade of often frustrating questions that define the broken lifecycle of a typical container vulnerability.
First comes prioritization. With hundreds of alerts, how do you know which fire to fight first? Without a clear exposure path analysis showing if the vulnerability is even reachable, teams waste precious time chasing low-impact issues while critical threats hide in plain sight.
Next is the hunt for the root cause. The alert points to a container image, but the real work is tracing it back. Which code repository? Which Dockerfile? Which developer introduced the vulnerable package? This investigation is often a slow, manual process.
Finally, there’s remediation. Even if you find the source, the developer who gets the ticket is left asking, “Now what?” An alert without a clear, actionable fix frustrates developers, creates friction, and prolongs exposure.
This chaotic, disjointed process is no longer sustainable. Cycode is changing this narrative by unifying and automating these steps into a single, AI-native application security platform with AI remediation for containers to shorten the time to triage, assign, and fix container vulnerabilities from days to minutes.
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From Find to Fix: How AI Remediation for Containers Works
By leveraging our Risk Intelligence Graph and analyzing your development pipeline, Cycode creates automatic code-to-cloud correlation between your container images and their originating code repositories. This provides immediate visibility without any manual intervention, using two primary methods:
- Container Registries: For images integrated directly from registries like Docker Hub, Azure Container Registry, or Amazon ECR, Cycode analyzes the image’s contents and metadata, comparing them to known Dockerfiles and build artifacts in your connected code repositories to identify a match.
- Build Logs: By analyzing CI build logs, Cycode can identify docker build and docker push commands, directly linking the pushed container image with the specific code repository and commit that triggered its creation.
This powerful correlation provides a complete exposure path, allowing you to visualize the entire journey from code to cloud, understand the full blast radius of a vulnerability, assess risk, and identify owners.
It also enables Cycode’s AI-powered remediation to trace container vulnerabilities back to their source and provides a precise, actionable remediation plan. Whether the issue lies within a Dockerfile or the application code itself, Cycode tells your developers exactly how to fix it.
Now, when you open a container violation with code-to-cloud correlation within the Cycode platform, you will see a “Remediation” tab. With a single click, Cycode’s AI will generate a remediation strategy, vulnerability explanation, and step-by-step instructions to address the issue.
The Cycode Difference: Fix the Container Risks that Matter
The introduction of AI Remediation for Containers into the Cycode platform helps shorten the lifecycle of risky container violations and drive developer efficiency. Benefits include:
- Prioritize Risk, Not Noise: Cycode’s exposure path analysis gives you the context to differentiate between a vulnerability in an internal tool and one in a critical production service. In concert with root cause analysis and risk score calculations, this lets teams quickly hone in on the risks that matter most.
- Accelerate Remediation with AI: After prioritizing effectively, Cycode’s AI remediation agent analyzes repository content to determine whether a vulnerability originates from a base image, is explicitly installed in a Dockerfile, or stems from project dependencies. Using these insights, combined with enriched CVE data, the agent delivers step-by-step remediation guidance, slashing the time it takes to remediate the vulnerabilities that matter.
- Empower Developer Efficiency: We eliminate the guesswork for developers by pinpointing the source of high-priority vulnerabilities and providing clear, actionable guidance. This lets them spend less time hunting and more time building.
Container Security for the AI Era is Here
The addition of AI Remediation and enhanced code-to-cloud correlation represents a significant leap forward for container security. By connecting runtime vulnerabilities to their root causes in code—and connecting risks with owners and owners with fixes—we empower our customers to build more secure applications, faster than ever before.
Ready to see how Cycode can supercharge your container security workflows? Get in touch with us today!
