AI EdgeLabs Kubernetes & Container Security is an AI-powered security platform for Kubernetes clusters and containerized workloads. It operates via a single lightweight agent that covers the full security stack from image scanning to runtime monitoring. **Runtime Security:** Uses eBPF-based monitoring to detect zero-day exploits, container escapes, API misuse, and lateral movement in real time. System call monitoring reduces false positives and enables detection of fileless malware and in-memory attacks. **Image Scanning & Drift Prevention:** Scans container images for vulnerabilities and insecure configurations, and blocks untrusted images. Monitors for drift from secure configuration baselines. **Automated Response:** Responds to threats autonomously by killing malicious processes, isolating compromised containers, and applying firewall rules. AI-generated playbooks guide response actions. **Visibility & Context:** Maps pod-to-pod and container-to-host interactions, tracks the blast radius of incidents, and provides continuous visibility into runtime behavior, configurations, and compliance drift. **Compliance:** Built-in alignment with NIS2, CRA, ISO/IEC 62443, PCI DSS, HIPAA, and GDPR. Designed to be audit-ready from deployment. **Scalability:** A single agent can secure 50–500 workloads with under 2% CPU overhead, eliminating per-workload licensing costs.