garnet.ai
garnet

Kubernetes Runtime Security

Protect your cloud Kubernetes environments with eBPF-powered behavioral monitoring that detects and prevents container escapes, privilege escalation, and zero-day exploits in real-time.

Kubernetes Security Monitoring with Garnet

The Cloud Kubernetes Threat Landscape

Modern cloud Kubernetes environments face sophisticated runtime threats that static scanning and admission controls can't detect.

Container Escape Attacks

Attackers exploit vulnerabilities to break out of container isolation, access the host, and potentially compromise the entire cluster.

Zero-Day Exploits

Unknown vulnerabilities that bypass scanning tools and manifest only at runtime, leading to code execution and data breaches.

Cryptojacking Attacks

Unauthorized cryptocurrency mining that hijacks cluster resources, causing performance degradation and increased cloud costs.

Lateral Movement

After compromising one pod, attackers move laterally through the cluster to access sensitive services, stealing data or escalating privileges.

Malicious Process Execution

Unexpected processes running inside containers, like shells, scanners, or network tools that indicate a compromise is underway.

Persistence Techniques

Attackers establish persistence by planting backdoors in volumes, creating cron jobs, or modifying startup files to maintain access.

Kernel-First Runtime Security with Jibril

Jibril leverages eBPF technology to monitor Kubernetes workloads at the kernel level, catching behavioral indicators of compromise that static scanning and admission controllers miss.

  • Comprehensive Behavioral Analysis

    Tracks file access, process execution, and network activity across containers to detect suspicious behaviors in real-time

  • Minimal Performance Impact

    Efficiently captures over 50,000 events per second with negligible CPU overhead through query-driven model

  • Unmatched Kernel-Level Visibility

    Detects signals invisible to traditional tools — like container escapes, lateral movement, and fileless attacks

  • Instant Threat Response

    Identifies and alerts on suspicious activities the moment they occur, before damage spreads across your cluster

Jibril monitoring Kubernetes clusters

Deploying Runtime Security in Kubernetes

Simple Deployment Options

DaemonSet Deployment

Deploy Jibril as a DaemonSet to monitor every node in your cluster. Our Kubernetes script handles all necessary configurations with minimal setup.

$ ./setup-k8s.sh --namespace=security --image=garnetlabs/jibril:latest

Kubernetes-Native Configuration

Customize detection policies via ConfigMap and control resource allocation to fit your cluster's needs and security requirements.

Cloud Provider Integration

Works seamlessly with all major Kubernetes offerings including EKS, GKE, AKS, OpenShift, and self-hosted distributions.

Real-World Security Scenarios

Container Escape Attacks

When a pod attempts to escape its container isolation, Jibril detects the abnormal syscalls and process behavior in real-time.

Detection signals:

  • Unusual namespace manipulation syscalls (setns, unshare)
  • Access to host filesystem paths outside container boundaries
  • Process appearing in wrong namespace context

Cryptojacking Detection

Just like in the Tesla breach, Jibril would immediately detect cryptominers running in your Kubernetes cluster before they drain your resources.

Detection signals:

  • Execution of known miner binaries or suspicious high-CPU processes
  • Network connections to mining pools or suspicious domains
  • Unexpected binaries downloaded and executed from temporary directories

Zero-Day Exploit Detection

Even with unknown vulnerabilities, the post-exploitation behavior leaves telltale signals that Jibril's behavioral monitoring catches.

Detection signals:

  • Unexpected process spawns (like a web server suddenly executing a shell)
  • Abnormal system call patterns from compromised processes
  • Outbound connections to command & control servers

Lateral Movement Prevention

Detect when attackers try to move from a compromised pod to other workloads through reconnaissance and exploitation.

Detection signals:

  • Internal port scanning and unusual connection patterns to other pods
  • Execution of network tools like nmap, netcat, or ssh clients
  • Access attempts to Kubernetes API or credential theft from other services

Why Choose Jibril for Kubernetes Security

Minimal Performance Impact

eBPF-powered monitoring with query-driven architecture provides comprehensive security with negligible system overhead.

  • Efficiently handles 50,000+ events per second
  • In-kernel filtering minimizes performance impact
  • No compromise between security and performance

Beyond Static Scanning

Detect sophisticated threats that bypass image scanning and admission controls through behavioral monitoring.

  • Catches zero-day exploits with no known signatures
  • Identifies malicious runtime behavior, not just vulnerable code
  • Detects fileless attacks that leave no traces on disk

Complete Cloud Coverage

Seamless protection across all cloud environments and Kubernetes distributions.

  • Works with EKS, GKE, AKS, and self-hosted Kubernetes
  • Protects all container runtimes (Docker, containerd, CRI-O)
  • Consistent security across hybrid and multi-cloud environments

Secure Your Cloud Kubernetes Environments Today

Don't wait for a breach to improve your security posture. Deploy Jibril's kernel-level protection and get real-time visibility into threats that other solutions miss.