Clair has been the go-to open-source static analyzer for years, especially if you’re already deep in the Quay or CoreOS ecosystem. It works, it’s free, and plenty of teams still run it in production. But let’s be honest-updating vulnerability feeds can feel sluggish, the API sometimes lags behind the pace of modern pipelines, and setting up a highly available instance takes more love than most teams want to give.
In 2026, the container scanning space has moved fast. Newer platforms bring real-time feeds, better SBOM support, richer policy engines, and integrations that don’t make you write custom tooling just to get results into your PRs. Below are the alternatives that teams actually switch to when they outgrow Clair-ranked by how often they show up in real-world migrations right now.
1. AppFirst
AppFirst takes a completely different angle from traditional container scanners. Instead of just checking images after they’re built, the platform removes most of the infrastructure work that usually comes before an image even lands in a registry. Developers describe what the app needs – CPU, database connections, networking rules, Docker image – and AppFirst spins up the VPC, security groups, IAM roles, logging, monitoring, and everything else across AWS, Azure, or GCP without anyone touching Terraform or YAML.
The idea is that less custom infra code means fewer misconfigurations and drift issues to scan for in the first place. Everything gets provisioned with built-in best practices, audit logs, and cost breakdowns per app and environment. The service runs either as SaaS or self-hosted, and the company is still in early access with a waitlist.
נקודות עיקריות:
- Provisions full application environments from a simple spec
- No Terraform, CDK, or cloud console work required
- Multi-cloud support on AWS, Azure, and GCP
- Built-in observability, alerting, and cost tracking
- אפשרויות SaaS או אירוח עצמי
יתרונות:
- Removes whole classes of infrastructure-related findings
- Developers deploy without waiting on separate ops work
- Consistent security and tagging rules across every app
- Clear cost visibility tied to individual services
חסרונות:
- Early-stage product still on waitlist
- פחות שליטה על משאבי ענן ברמה נמוכה
- Requires trusting a new abstraction layer
פרטי קשר:
- אֲתַר אִינטֶרנֶט: www.appfirst.dev
2. Trivy
Engineers who run container scans in CI pipelines often reach for Trivy first these days. Aqua Security built it as an open-source tool that checks images, file systems, git repos, and even IaC files for vulnerabilities, misconfigs, and secrets. The scanner pulls data from multiple feeds, supports offline operation, and spits out results in tables, JSON, or SARIF so it slides into most workflows without much fuss. Because everything stays lightweight and dependency-free, people drop it into GitHub Actions, GitLab CI, or local pre-commit hooks and get fast feedback.
The project keeps adding new scanners regularly – Kubernetes configs, cloud templates, SBOM validation – which makes it feel like a Swiss-army knife for basic security checks. Users who need something simple and scriptable tend to stick with it long-term.
נקודות עיקריות:
- Open-source with active maintenance
- Scans containers, filesystems, git repositories, and IaC
- Offline/air-gapped mode available
- Multiple output formats including SARIF
- No external database required
יתרונות:
- Very quick startup time
- Works without internet when databases are cached
- Easy to automate in any CI system
- Covers secrets and misconfiguration scanning too
חסרונות:
- Vulnerability database updates need manual refresh in air-gapped setups
- Fewer policy-as-code features compared to commercial tools
- Limited built-in remediation guidance
פרטי קשר:
- Website: trivy.dev
- Twitter: x.com/AquaTrivy
3. Grype
Anchore created Grype as another open-source alternative that focuses purely on vulnerability scanning for containers and SBOMs. It leans on the Syft SBOM generator under the hood, so users often run both tools together in the same pipeline. The scanner matches package manifests against vulnerability databases and produces clean reports that highlight what actually runs in the image, not just what got copied into layers.
People pick Grype when they already generate SBOMs or want results that line up closely with runtime behavior. The tool stays fast even on large images and plays nicely with CI environments that already use Anchore products or just need a standalone binary.
נקודות עיקריות:
- Built-in SBOM generation via Syft integration
- Focuses on runtime-relevant matches
- Standalone binary distribution
- Supports multiple vulnerability sources
- Good at ignoring dev dependencies when possible
יתרונות:
- Accurate matches because it understands layer contents
- Works offline after database download
- Simple CLI with predictable flags
- Integrates smoothly with existing Anchore users
חסרונות:
- Smaller ecosystem of plugins compared to Trivy
- Database updates require separate step
- Less coverage for non-package vulnerabilities
פרטי קשר:
- אתר אינטרנט: anchore.com
- כתובת: 800 Presidio Avenue, Suite B, Santa Barbara, California, 93101
- LinkedIn: www.linkedin.com/company/anchore
- טוויטר: x.com/anchore
4. Snyk Container
Snyk offers container scanning both in its free developer tier and paid plans. The tool checks base images and application layers for known vulnerabilities and suggests fixes or upgraded base images when possible. It hooks directly into registry workflows, CI pipelines, and even local IDEs so developers see issues early.
Organizations that already use Snyk for code or open-source dependency checks usually add the container module without extra setup. The platform keeps its own vulnerability database and ties findings to reachable vulnerabilities when source code is available.
נקודות עיקריות:
- Free tier for public projects and limited private scans
- Deep integration with major registries and CI tools
- Suggests base image upgrades
- Reachability analysis when source is linked
- Paid plans include priority support and policy controls
יתרונות:
- Nice dashboard and PR comments
- Fix suggestions often include working Dockerfile changes
- Works across the whole development lifecycle
- Good at catching issues in custom application layers
חסרונות:
- Free tier has scan limits on private repos
- Some advanced features stay behind paid plans
- Occasionally slower on very large images
פרטי קשר:
- אתר אינטרנט: snyk.io
- כתובת: 100 Summer St, קומה 7, בוסטון, MA 02110, ארה"ב
- לינקדאין: www.linkedin.com/company/snyk
- טוויטר: x.com/snyksec
- Instagram: www.instagram.com/lifeatsnyk
5. Sysdig Secure
Sysdig Secure includes inline image scanning that happens at build or registry admit time. The scanner uses a combination of vulnerability databases and runtime context from the Falco engine to prioritize findings that actually matter in production. Teams running Sysdig for runtime security often turn on the scanning piece because everything shares the same agent and backend.
The platform works as SaaS or on-prem and ties scans to admission policies so bad images never reach clusters. Users who want a single pane for both build-time and runtime security checks end up here.
נקודות עיקריות:
- Inline scanning with admission control
- Runtime context improves prioritization
- Unified policy engine across build and run
- אפשרויות פריסה של SaaS ו-on-prem
- Ties into existing Sysdig monitoring data
יתרונות:
- Blocks vulnerable images before deployment
- Prioritization feels more realistic
- Single agent for scanning and runtime
- Good Kubernetes integration
חסרונות:
- Requires agent deployment for full value
- Higher complexity than standalone scanners
- Pricing tied to hosts rather than images
פרטי קשר:
- Website: sysdig.com
- טלפון: 1-415-872-9473
- דוא"ל: sales@sysdig.com
- כתובת: 135 Main Street, קומה 21, סן פרנסיסקו, CA 94105
- LinkedIn: www.linkedin.com/company/sysdig
- Twitter: x.com/sysdig
6. Prisma Cloud
Palo Alto Networks runs Prisma Cloud as a full cloud-native security platform with image scanning built in. The scanner checks containers, serverless functions, and hosts across multiple clouds from one console. It pulls vulnerability data from multiple sources and adds policy enforcement that can block deployments automatically.
Large enterprises that already manage cloud workloads through Palo Alto tools tend to enable the container scanning module. The service stays fully managed and updates feeds continuously without user intervention.
נקודות עיקריות:
- Part of broader cloud security suite
- Continuous feed updates
- Policy enforcement across registries and clusters
- תומך בסביבות מרובות עננים
- Detailed compliance reporting
יתרונות:
- No maintenance of vulnerability databases
- Tight integration with admission controllers
- Covers hosts and functions too
- Strong auditing and reporting features
חסרונות:
- Cost scales with compute usage
- Overkill for teams that only need scanning
- Steeper learning curve for the full platform
פרטי קשר:
- אתר אינטרנט: www.paloaltonetworks.com
- טלפון: 1 866 486 4842
- דוא"ל: learn@paloaltonetworks.com
- כתובת: פאלו אלטו נטוורקס, 3000 טאנריי וואי, סנטה קלרה, קליפורניה 95054
- לינקדאין: www.linkedin.com/company/palo-alto-networks
- פייסבוק: www.facebook.com/PaloAltoNetworks
- טוויטר: x.com/PaloAltoNtwks
7. Red Hat Quay
Red Hat Quay serves as a private container registry with Clair built in from the start. Organizations that run OpenShift or just need an enterprise-grade registry get vulnerability scanning on every push without extra tools. The setup supports geo-replication, robot accounts, and rollback of images when something turns out bad.
Two main ways exist to use it: self-managed on-premises or the hosted Quay.io service run by Red Hat. The self-managed version comes standalone or bundled in OpenShift Platform Plus, while Quay.io charges by private repository count.
נקודות עיקריות:
- Built-in Clair scanning on every image push
- Geographic replication and high-availability options
- Robot accounts for CI/CD access
- Rollback to previous image tags
- Self-managed and hosted versions available
יתרונות:
- Scanning happens automatically in the registry
- Tight integration with OpenShift builds
- Full audit trail of all registry actions
- Works offline in air-gapped environments
חסרונות:
- Requires managing the registry infrastructure when self-hosted
- Clair updates can lag behind the standalone project
- Hosted pricing depends on private repo count
פרטי קשר:
- אתר אינטרנט: www.redhat.com
- טלפון: +1 919 754 3700
- דוא"ל: apac@redhat.com
- כתובת: 100 E. Davie Street, Raleigh, NC 27601, ארה"ב
- לינקדאין: www.linkedin.com/company/red-hat
- פייסבוק: www.facebook.com/RedHat
- טוויטר: x.com/RedHat
8. Qualys Container Security
Qualys built its container security piece on top of the same scanning engine used for VMs and cloud assets. Images get checked in CI/CD pipelines, registries, or running in Kubernetes clusters, pulling in vulnerability data, malware signatures, secrets detection, and SBOM generation. The tool tries to show which issues actually matter by looking at runtime state and possible attack paths when the agent is present.
Most users run it as part of the broader Qualys cloud platform. A no-cost thirty-day trial is available, after which everything sits behind regular Qualys licensing that scales with assets.
נקודות עיקריות:
- Scans images in builds, registries, and running workloads
- Includes malware and secrets detection alongside vulnerabilities
- Attack-path analysis when runtime data is collected
- SBOM export capabilities
- Thirty-day no-cost trial available
יתרונות:
- Same console as VM and cloud scanning
- Works across on-prem and multi-cloud setups
- Admission controller integration for Kubernetes
- Detailed exception handling for findings
חסרונות:
- Needs the Qualys cloud agent for full runtime context
- Pricing ties into overall asset count
- Interface can feel heavy if only container scanning is needed
פרטי קשר:
- אתר אינטרנט: www.qualys.com
- טלפון: +1 650 801 6100
- Email: info@qualys.com
- כתובת: 919 E Hillsdale Blvd, קומה 4, פוסטר סיטי, CA 94404 ארה"ב
- LinkedIn: www.linkedin.com/company/qualys
- פייסבוק: www.facebook.com/qualys
- טוויטר: x.com/qualys
9. Anchore Enterprise
Anchore started with the open-source Syft and Grype tools and wrapped a commercial layer around them. The enterprise version adds policy enforcement, SBOM storage, centralized reporting, and pre-built compliance packs for common frameworks. Scans happen in pipelines or at the registry, and everything feeds into a single dashboard that tracks changes over time.
Organizations that already use the open-source pieces often move up when they need audit trails and role-based access. A demo is the usual way to see the paid features before committing.
נקודות עיקריות:
- Built on Syft SBOM generator and Grype scanner
- Central SBOM repository with change tracking
- Ready-made policy bundles for regulatory frameworks
- Supports on-prem or SaaS deployment
- Demo available on request
יתרונות:
- Smooth upgrade path from the open-source tools
- Strong SBOM management and export options
- Good at enforcing custom policies across pipelines
- Clear reporting for compliance work
חסרונות:
- Requires running additional services for the full platform
- Some features overlap with what open-source already does
- Learning curve on the policy language
פרטי קשר:
- אתר אינטרנט: anchore.com
- כתובת: 800 Presidio Avenue, Suite B, Santa Barbara, California, 93101
- LinkedIn: www.linkedin.com/company/anchore
- טוויטר: x.com/anchore
10. Docker Scout
Docker added Scout as a native scanning option inside Docker Desktop and Docker Hub. It checks local images and repository tags for vulnerabilities and suggests updated base images when possible. The dashboard lives right next in the Docker ecosystem, so developers who already pull and push from Hub see results without extra setup.
Free Hub accounts get basic scanning, while paid subscriptions unlock more frequent updates and policy controls. The tool stays tightly coupled to Docker workflows.
נקודות עיקריות:
- Integrated into Docker Desktop and Hub
- Local analysis before pushing images
- Automatic base-image upgrade suggestions
- Policy evaluation tied to repository settings
- Included in Docker subscription plans
יתרונות:
- No extra tools needed if Docker is already in use
- Works offline on the desktop
- Simple interface for everyday developers
- Quick remediation hints for Dockerfiles
חסרונות:
- Limited to images stored in Docker Hub for cloud features
- Fewer advanced policy options than standalone platforms
- Database updates depend on subscription tier
פרטי קשר:
- אתר אינטרנט: www.docker.com
- טלפון: (415) 941-0376
- כתובת: 3790 El Camino Real # 1052, פאלו אלטו, CA 94306
- LinkedIn: www.linkedin.com/company/docker
- פייסבוק: www.facebook.com/docker.run
- טוויטר: x.com/docker
- אינסטגרם: www.instagram.com/dockerinc
11. OpenSCAP
OpenSCAP stays firmly in the host and configuration world rather than pure container image scanning. Administrators use its oscap tool to evaluate systems against SCAP content – basically XML checklists that encode hardening guides like DISA STIGs, CIS benchmarks, or custom policies. The same tooling can check running containers for compliance drift and patch status, though it works better on the underlying host or VM than on image layers directly.
Many environments pair it with vulnerability data from the OVAL feeds to get a broader picture of missing patches. Everything remains fully open-source and scriptable, which makes it popular in air-gapped or government setups where commercial scanners aren’t an option.
נקודות עיקריות:
- Evaluates systems against SCAP/XCCDF checklists
- Includes OVAL vulnerability definitions
- Generates HTML and ARF reports
- Works on running containers and hosts
- Completely open-source with no paid tier
יתרונות:
- No licensing cost or vendor lock-in
- Huge library of community and government profiles
- Easy to run from cron or Ansible
- Detailed remediation instructions in many guides
- Functions offline once content is downloaded
חסרונות:
- Steeper learning curve around SCAP content
- Slower than dedicated image-layer scanners
- Limited secret scanning or SBOM support
- Output needs extra parsing for CI/CD gates
פרטי קשר:
- Website: www.open-scap.org
- Twitter: x.com/OpenSCAP
12. JFrog Xray
JFrog Xray works as the security layer that sits on top of Artifactory repositories, watching every package, build artifact, and container image that flows through. Scans run continuously as new versions land, checking for vulnerable dependencies, license problems, malicious packages, and even operational risks like unmaintained code. Results show up in the same interface developers already use for package management, often with direct links back to the exact build or release.
Most shops that already rely on JFrog for binary management add Xray when they need deeper visibility without adding another standalone tool. The basic version comes bundled with some Artifactory editions, while the advanced security features (applicability scanning, IDE integration, custom operational policies) require the paid add-on.
נקודות עיקריות:
- Deep integration with Artifactory and the JFrog Pipelines
- Continuous scanning of builds, releases, and container images
- Automatic SBOM generation and license compliance checks
- Malicious package detection using extended database
- IDE and CLI remediation suggestions in paid tier
יתרונות:
- One place for artifacts and security findings
- Watches every build without extra pipeline steps
- Strong license compliance and reporting tools
- Applicability scanning cuts noise in larger codebases
חסרונות:
- Makes most sense if Artifactory is already in use
- Advanced features sit behind separate licensing
- Can feel heavy for teams that only need occasional scans
פרטי קשר:
- אתר אינטרנט: jfrog.com
- טלפון: +1-408-329-1540
- כתובת: 270 E Caribbean Dr., Sunnyvale, CA 94089, ארצות הברית
- LinkedIn: www.linkedin.com/company/jfrog-ltd
- פייסבוק: www.facebook.com/artifrog
- טוויטר: x.com/jfrog
13. Amazon ECR Image Scanning
Amazon ECR builds scanning directly into its private registry service. Two main modes exist: basic scanning on every push (now using AWS-native tech instead of the old Clair backend) and enhanced continuous scanning powered by Amazon Inspector that also watches for new CVEs after the initial push. Results show up in the console or through EventBridge notifications.
Anyone with an AWS account gets the basic version automatically, while enhanced scanning turns on per repository or account-wide with Inspector.
נקודות עיקריות:
- Basic scan on push included with ECR
- Enhanced mode uses Inspector for continuous re-scans
- Findings available via API and console
- Supports private repositories only
- Integrates with ECS and EKS deployment gates
יתרונות:
- Zero extra setup for basic checks
- No additional cost for basic scanning
- EventBridge events for automation
- Works offline once images are in ECR
חסרונות:
- Only scans images stored in ECR
- Enhanced scanning requires Inspector billing
- Limited language-package coverage compared to third-party tools
- No local or pre-registry scanning option
פרטי קשר:
- אתר אינטרנט: aws.amazon.com
- לינקדאין: www.linkedin.com/company/amazon-web-services
- פייסבוק: www.facebook.com/amazonwebservices
- טוויטר: x.com/awscloud
- אינסטגרם: www.instagram.com/amazonwebservices
14. Google Artifact Analysis
Google Artifact Registry includes built-in vulnerability scanning that kicks off automatically whenever a new image lands. On-push checks happen once per digest, then the system keeps watching public vulnerability feeds and updates findings as new CVEs appear. On-demand scans are also possible from the gcloud CLI for local images or CI pipelines.
The service covers a wide range of OS packages and several language ecosystems, with results visible in the console or via API. Active images stay fresh for thirty days after last pull.
נקודות עיקריות:
- Automatic on-push and continuous background scanning
- Covers many language packages beyond OS level
- Integrates with Binary Authorization for deploy blocks
- On-demand CLI scanning available
- Metadata eventually expires on inactive images
יתרונות:
- Works out of the box with Artifact Registry
- Continuous updates without re-scanning
- Good language package support
- Easy policy integration via Binary Authorization
חסרונות:
- Only works with images in Artifact Registry
- Metadata goes stale on unused images
- No agentless runtime context
- Limited to supported distros and languages
פרטי קשר:
- Website: docs.cloud.google.com/artifact-registry/docs/analysis
- טוויטר: x.com/googlecloud
15. Aqua Security
Aqua Security positions its platform as a full cloud-native protection suite that treats image scanning as just one early step. Images get checked in registries and CI pipelines with the same engine that later watches running containers for drift, hidden malware, or behavioral anomalies. The scanner pulls in vulnerability data, checks for secrets, and builds SBOMs, then hands findings off to the runtime policy engine so the same rules apply from build to production.
Many organizations that already run Kubernetes at scale end up here because the platform ties posture management, admission control, and threat detection together in one place. Deployment happens as SaaS or with on-prem components, and most new users start with a live demo.
נקודות עיקריות:
- Static scanning plus runtime drift detection
- Built-in SBOM generation and malware checks
- Unified policy across build, deploy, and runtime
- Supports multi-cloud and hybrid setups
- Live demo required to see pricing and full features
יתרונות:
- Consistent enforcement from pipeline to cluster
- Catches issues static scans usually miss
- Strong Kubernetes admission integration
- Good context when workloads are already instrumented
חסרונות:
- Needs agents or sidecars for deepest visibility
- Overkill for teams that only want basic image scanning
- Demo gate means no quick self-serve trial
פרטי קשר:
- אתר אינטרנט: www.aquasec.com
- טלפון: +972-3-7207404
- Address: Philippine Airlines Building, 135 Cecil Street #10-01, Singapore
- לינקדאין: www.linkedin.com/company/aquasectteam
- פייסבוק: www.facebook.com/AquaSecTeam
- טוויטר: x.com/AquaSecTeam
- אינסטגרם: www.instagram.com/aquaseclife
מַסְקָנָה
At the end of the day, sticking with Clair only makes sense if you’re already locked into that registry ecosystem and happy managing your own updater and database. Most folks who move on do it because they want faster feedback, less manual work, or just something that fits better into the way modern pipelines actually run.
Some reach for the lightweight open-source scanners when they need speed and zero cost. Others grab a commercial dashboard when compliance reports and policy enforcement start eating too many afternoons. A few even sidestep the whole scanning game by baking the security rules into the provisioning layer from the start. None of these paths are perfect, but each one solves a real pain that Clair used to leave on the table.
Pick whatever actually unblocks your team and stops the “hey, did we scan this?” conversations at 2 a.m. That’s the only metric that matters.
