What are the core benefits and essential features of Kaspersky Container Security Advanced Base?
Lifecycle protection – Secures containers from build to runtime.
Image scanning – Detects vulnerabilities before deployment to clusters.
Policy enforcement – Blocks risky images using admission controls.
Runtime defense – Monitors containers for suspicious behavior continuously.
Compliance checks – Flags misconfigurations against security best practices.
Threat visibility – Visualizes risks across clusters and registries.
Image scanner – Scans images for vulnerabilities and misconfigurations.
CI/CD checks – Adds security gates to build pipelines.
Admission control – Enforces policies before workloads start running.
Runtime agent – Observes processes, files, and network activity.
Compliance auditing – Validates workloads against security best practices.
Central console – Manages policies, findings, and infrastructure visibility.
Kaspersky Container Security Advanced Base protects containerized applications across development and production. It helps teams prevent risky deployments and reduce runtime threats.
Shift-left security – Finds issues early, before production exposure.
Reduced risk – Stops vulnerable images from reaching runtime.
Faster reviews – Automates checks developers need for releases.
Runtime insight – Detects abnormal activity inside running containers.
Stronger governance – Supports audits with clear security evidence.
Scalable control – Works across multi-cluster container environments.
Yes, it secures containers during build and operation.
CI/CD image scanning to catch issues early.
Admission control to prevent unsafe deployments.
Runtime monitoring for suspicious container behavior.
Advanced adds deeper visibility and more automated security checks.
More detailed threat visualization across environments.
Broader policy controls for deployment enforcement.
Stronger monitoring signals for faster investigations.
Yes, policies can prevent deployments that fail checks.
Admission controls stop non-compliant images running.
Rules can require scans before deployment approval.
Controls can restrict risky permissions and capabilities.
Yes, it checks workloads against container security best practices.
Detects risky settings in images and configurations.
Highlights policy violations for quick remediation.
Provides evidence for audits and reporting needs.
It reduces manual reviews while keeping releases moving.
Automated checks reduce security team bottlenecks.
Clear findings help developers fix issues faster.
Central visibility simplifies policy management at scale.
"It gave us clear visibility into container risks fast."
"Image scanning in the pipeline helped prevent surprises later."
"Policy controls made deployment reviews much more consistent."
"Runtime monitoring added confidence without slowing teams down."
"Centralized reporting made audits less stressful for everyone."
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| Operating Systems | CentOS 8.2.2004 or later: Linux kernel 4.18.0-193 or later Ubuntu 18.04.2 or later: Linux kernel 4.18.0 or later Debian 10 or later: Linux kernel 4.19.0 or later Astra Linux SE 1.7.* or later: Linux kernel 6.1.50-1-generic / CONFIG_DEBUG_INFO_BTF=y RHEL 9.4 or later: Linux kernel 5.14 or later Red Hat Enterprise Linux CoreOS 416.94.202408200132-0: Linux kernel 5.14.0-427.33.1.el9_4.x86_64 RED OS 7.3 or later: Linux kernel 6.1 or later / CRI CRI-O / CNI Calico Sber Linux 8.9 / 9.3: Linux kernel 5.14 / CRI CRI-O / CNI Calico / Cilium |
| Orchestration Platforms | Kubernetes 1.21 or later / OpenShift 4.8 / 4.11 or later / DeckHouse 1.70.17 / 1.71.3 / Platform V DropApp 2.1 / Shturval 2.10 |
| CI System | CI system for image scanning in development process such as GitLab CI |
| Package Manager | Helm 3.10.0 or later |
| Linux Kernel | Linux kernel 4.18 or later for runtime monitoring with container runtime profiles / Some mechanisms for process privilege management require Linux kernel 5.8 or later |
| Container Runtime Interface | containerd / CRI-O |
| Container Network Interface | Flannel / Calico / Cilium |
| Architecture | x86 |
| Service Mesh | Istio service mesh supported |
| Secrets Storage | HashiCorp Vault 1.7 or later |
| Database Support | ClickHouse v25.* / PostgreSQL Postgres Pro Standard Enterprise 15 / 17 / Pangolin 6.2.0 |
| Image Registries | Amazon Elastic Container Registry / Azure Container Registry API 2023-01-01-preview / Docker Hub v2 API / Docker Registry v2 API / GitLab Registry 14.2 or later / Google Artifact Registry / Harbor 2.x / JFrog Artifactory 7.55 or later / Red Hat Quay 3.x / Sfera 2.0 / Sonatype Nexus Repository OSS 3.43 or later / Yandex Registry |
| Network Support | IPv4 / IPv6 |
| Cloud Platforms | Yandex Cloud / Amazon AWS EKS / Microsoft Azure AKS |
| Cluster Resources | Three worker nodes with three scanner pods and max image scan size 10 GB: at least 12 processor cores / at least 20 GB RAM / 40 GB free disk space / at least 1 Gbps bandwidth between cluster components |
| Agent Resources | Per worker node baseline: 0.2 processor cores / 200 MB RAM / 15 GB free disk space / Add for network and process monitoring: 2 processor cores / 2 GB added RAM / Add for anti-malware protection: 2 processor cores / 2 GB added RAM / All agent functionalities enabled: 2 processor cores / 4 GB RAM |
| Database Storage | ClickHouse persistent volume: 1 GB free disk space per monitored node |
| User Workstation | Permanent internet connection for public corporate network deployments / Access to Management Console page in corporate network / Communication channels at least 10 Mbit/s |
| Supported Browsers | Google Chrome 140 or later / Mozilla Firefox 143 or later |
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