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.
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
Runtime Threat Detection & Containment
Kubernetes Security Posture Management (KSPM)
Context-Aware Risk Prioritization
Vulnerability & Configuration Scanning
AI-Assisted Remediation & Forensics
Audit Logging & Regulatory Traceability
Runtime Threat Detection & Containment:
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
Kubernetes Security Posture Management (KSPM):
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
Context-Aware Risk Prioritization:
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
Continuous Vulnerability & Configuration Scanning:
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Detect outdated software, known CVEs, and insecure configurations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
AI-Assisted Remediation & Forensics:
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
Audit Logging & Regulatory Traceability:
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
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Experience the Strength of AI-Powered Kubernetes Security
AI EdgeLabs delivers the missing runtime layer for Kubernetes and container workloads — autonomous, and compliance-ready.