Leave no container unturned
Analyze the contents of container images to identify security vulnerabilities ahead of deployment – and address potential risks.
Challenges
More abstraction. Less time.
Cloud-native development brings new potential risks—and at the same time, adds another level of abstraction between the security team and the code. But while application security complexity has increased, development schedules have shrunk.
Fast vs. Secure
Staying on top of vulnerabilities buried deep across multiple containers is a huge challenge. And with frequent updates and deployments, it’s nearly impossible to keep up, let alone get ahead, of security risks.
High volume overload
The sheer volume of images and dependencies takes far too long to scan. And when everything is shipped at speed, vulnerabilities can easily slip through.
Dependency neglect
Open source libraries and packages incorporated in containers rarely get checked for dependency updates, which means that external risks may be skipped over.
Opportunities
Cut through container complexity
Simplifying container security starts by giving time back to security teams, getting them actionable insights quickly, knowing which vulnerabilities to prioritize and which pose no threat, and building a clear view across the SDLC.
Gain a clear view across the SDLC
Leveraging container security and SCA in tandem cover everything from single images to entire registries.
Quickly know what matters
Container-level reachability and runtime monitoring quickly identify what risks are exploitable and what can be safely ignored.
Keep your secrets safe
Discover unprotected sensitive information before malicious actors do.
The solution
Mend AppSec
Development to deployment coverage for cloud-native applications
From scanning images and K8s to secrets handling and reachability analysis, the platform helps you identify and remediate vulnerabilities – before and after deployment.
Discover Mend AppSec
“One of our most indicative KPIs is the amount of time for us to remediate vulnerabilities and also the amount of time developers spend fixing vulnerabilities in our code base, which has reduced significantly. We’re talking about at least 80% reduction in time.”
“When the product you sell is an application you develop, your teams need to be fast, secure and compliant. These three factors often work in opposite directions. Mend provides the opportunity to align these often competing factors, providing Vonage with an advantage in a very competitive marketplace.”
“The biggest value we get out of Mend is the fast feedback loop, which enables our developers to respond rapidly to any vulnerability or license issues. When a vulnerability or a license is disregarded or blocked, and there is a policy violation, they get the feedback directly.”
FAQs
How does Mend.io secure containers across the SDLC?
Mend AppSec analyzes container images for vulnerabilities and compliance issues before deployment: from single images to entire registries, with container security and SCA working in tandem from development to deployment.
How does Mend.io apply reachability analysis to containers?
Container-level reachability analysis determines which vulnerabilities in an image are actually reachable and exploitable at runtime, so teams can prioritize reachable risk instead of treating every CVE in every image layer the same.
For program-level guidance, read building strong container security.
Does Mend.io detect secrets in container images?
Yes. Mend AppSec scans images for exposed secrets such as credentials, keys, and tokens, helping teams find sensitive data left behind in an image before it becomes a production risk.
Does Mend.io integrate with Kubernetes?
Yes. Mend AppSec integrates with Kubernetes environments to identify deployed images and add deployment context, showing teams not just what is vulnerable, but what is actually deployed and where. Integrations support Kubernetes environments including Amazon EKS, Microsoft AKS, Google GKE, and native Kubernetes.
Can Mend.io’s container scanning run on premises?
Yes. Container images can be scanned directly with the Mend CLI from your own build and CI/CD environments, including through a self-contained CLI option for SCA and container scanning. This gives teams more flexibility to scan images within controlled environments rather than relying only on registry-based scanning.
Does Mend.io account for what’s actually running in production, or just what’s sitting in a container image?
Both. Mend.io container scanning paired with runtime insights shows which packages in a scanned image are actually in use in production, so you prioritize remediation around real runtime exposure instead of everything the image happens to contain.
Which container registries does Mend.io integrate with directly?
Amazon ECR, Azure Container Registry, Docker Hub, and JFrog Artifactory Cloud for private registry integrations. Public images can also be scanned individually through the Mend CLI without setting up a full registry integration.
Should I scan containers in the registry or the pipeline with Mend.io?
Mend.io supports both, and they cover different ground. Pipeline scanning runs through the Mend CLI inside CI/CD, checking one image at a time as it’s built. Registry scanning continuously monitors an entire registry (ECR, ACR, Docker Hub, or Artifactory) on a schedule or on demand, covering images that already exist, not just new builds.
Does Mend.io work with hardened base images from vendors like Docker or Chainguard?
Yes. Mend.io container scanning automatically recognizes hardened images from Docker, Chainguard, and Echo with no extra setup. It pulls in each vendor’s VEX statement (Affected, Not Affected, Fixed, or Under Investigation) and combines it with Mend.io’s own reachability analysis.
Does container scanning tell me which layer introduced a vulnerability, or just flag the whole image?
It goes down to the layer. Mend.io identifies vulnerable packages down to the specific image layer they came from, so a team can see whether a flaw was inherited from the base image or added in a later build step, instead of getting a flat list for the entire image.
Can a container scan actually block a build, or does it only report findings after the fact?
It can block the build. Mend.io supports policy checks for build control in the pipeline, so a container scan can fail a build against defined thresholds rather than just logging results for someone to review later.
Does Mend.io generate a separate SBOM for container images, or only for application source code?
There’s a dedicated report for containers. Mend.io produces an SBOM report specifically for container images, listing the OS packages and language-level dependencies found inside, separate from, and in addition to, the SBOM it generates for application source dependencies.
Does a scan show what OS the container is built on, not just the packages inside it?
Yes. Mend.io results include the OS Distribution and OS Release alongside package-level findings, which matters because two images with identical application dependencies can carry different risk depending on the base operating system underneath them.
Stop managing alerts.
Start reducing risk.
Join the teams reducing remediation effort by 75%.
