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Kubernetes & Container Security

With AI EdgeLabs, you gain full-stack Kubernetes security – from image scanning to runtime syscall monitoring, all in one lightweight, AI-powered agent. Detect, stop, and prevent exploits before they spread across your clusters.

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The Ultimate Defense — Real-Time Protection, Full Visibility

Real-Time Runtime Visibility

Continuous monitoring of container activity, system calls (eBPF), and network traffic

Threat Detection & Rapid Response

Identifies lateral movement, privilege escalation, and runtime attacks within seconds

Image Scanning & Drift Prevention

Continuously scans images and configurations, blocks untrusted images, and prevents drift from secure baselines.

Infrastructure & Control Plane Protection

Secures critical Kubernetes components such as etcd through encryption and network isolation

Compliance & Audit Built In

Full Kubernetes API audit logging, aligned with NIS2, CRA, ISO/IEC 62443, PCI DSS, HIPAA, GDPR..

Cost-Efficient at Scale

One lightweight agent secures 50–500 workloads with <4% CPU overhead, eliminating per-workload licensing models.

Streamline Your Kubernetes Security Process

  • Detect live runtime threats including container breakout, fileless malware, and lateral movement
  • Identify suspicious API calls and privilege escalation attempts instantly
  • Execute AI-generated remediation playbooks autonomously
  • Isolate compromised containers and enforce network controls in seconds
  • Detect misconfigurations and policy violations continuously
  • Map risks back to Infrastructure-as-Code (IaC) manifests
  • Identify insecure RBAC settings, exposed services, and control-plane risks
  • Prevent configuration drift from secure baselines
  • Correlate vulnerabilities with runtime behavior and exploitability
  • Focus on in-use packages and actively exposed components
  • Reduce alert fatigue through contextual scoring
  • Understand blast radius and workload relationships instantly
  • Analyze container images before and during runtime
  • Detect outdated software, known CVEs, and insecure configurations
  • Maintain visibility across clusters, namespaces, and nodes
  • Support secure software lifecycle and SBOM-based tracking
  • LLM-powered analysis of incidents and grouped attack chains
  • Automated forensic summaries with impact assessment
  • Structured remediation guidance and response automation
  • Compliance-ready incident documentation
  • Log all Kubernetes API activity and access attempts
  • Maintain tamper-resistant audit trails
  • Support regulatory reporting and incident investigation
  • Provide continuous compliance evidence for regulated environments

Experience the Strength of AI-Powered Kubernetes Security

AI EdgeLabs delivers the missing runtime layer for Kubernetes and container workloads — autonomous, and compliance-ready.