Runtime Security

Runtime security monitors and protects your containers and applications while they’re running. Unlike preventive measures (like RBAC or network policies), runtime security detects and responds to threats in real-time as they occur. Think of it as a security guard watching your application 24/7, ready to alert you or take action when something suspicious happens.

What is Runtime Security?

Runtime security operates during the execution phase of your workloads:

flowchart TD A[Container Starts] --> B[Runtime Security Active] B --> C{Monitor Behavior} C --> D{Suspicious Activity?} D -->|Yes| E[Alert/Block] D -->|No| F[Continue Monitoring] F --> C E --> G[Security Team Notified] style A fill:#e1f5ff style B fill:#fff4e1 style E fill:#ffebee style G fill:#ffebee

Why Runtime Security Matters

Preventive security (RBAC, network policies, hardening) is essential, but it’s not enough:

  • Zero-day vulnerabilities - New attacks that bypass preventive controls
  • Insider threats - Authorized users doing malicious things
  • Configuration drift - Security settings that change over time
  • Application-level attacks - Attacks targeting application logic, not infrastructure

Runtime security provides visibility and protection when preventive measures fail.

Types of Runtime Security

1. Behavioral Detection

Monitors system calls, file access, and network activity to detect anomalies:

  • Unusual process execution
  • Suspicious file access patterns
  • Abnormal network connections
  • Privilege escalation attempts

2. Policy Enforcement

Enforces security policies at runtime:

  • Blocks prohibited system calls
  • Prevents unauthorized file access
  • Restricts network connections
  • Stops privilege escalation

3. Threat Intelligence

Correlates events with known attack patterns:

  • MITRE ATT&CK framework mapping
  • Known malware signatures
  • Attack pattern recognition
  • Threat actor behavior

Runtime Security Tools

Falco

Open-source runtime threat detection that monitors system calls and container behavior. Detects:

  • Shell execution in containers
  • Unauthorized file access
  • Network anomalies
  • Privilege escalations

KubeArmor

Policy-based runtime protection using eBPF. Enforces:

  • File system access controls
  • Network restrictions
  • Process execution limits
  • Capability restrictions

eBPF-based Solutions

Leverage eBPF for efficient, low-overhead security monitoring:

  • Real-time system call monitoring
  • Network packet inspection
  • Process and file tracking
  • Minimal performance impact

How Runtime Security Works

sequenceDiagram participant App as Application participant Kernel as Linux Kernel participant Runtime as Runtime Security participant Alert as Alerting System App->>Kernel: System Call Kernel->>Runtime: Event Captured Runtime->>Runtime: Analyze Behavior alt Suspicious Activity Runtime->>Alert: Send Alert Runtime->>Kernel: Block Action (optional) else Normal Activity Runtime->>Kernel: Allow end Kernel-->>App: Response

Integration with Kubernetes

Runtime security tools integrate with Kubernetes through:

  • DaemonSets - Deploy agents on every node
  • CRDs - Define security policies as Kubernetes resources
  • Webhooks - Integrate with admission control
  • Operators - Manage security policies automatically

Best Practices

  1. Deploy on all nodes - Use DaemonSets for complete coverage
  2. Start with detection - Begin with monitoring, then add enforcement
  3. Tune rules carefully - Avoid false positives that overwhelm teams
  4. Integrate with SIEM - Send alerts to security information systems
  5. Regular rule updates - Keep detection rules current
  6. Performance monitoring - Ensure runtime security doesn’t impact workloads

Common Use Cases

Detecting Cryptocurrency Miners

Monitor for:

  • High CPU usage patterns
  • Network connections to mining pools
  • Unusual process execution
  • Resource consumption anomalies

Preventing Data Exfiltration

Detect and block:

  • Large file transfers
  • Unauthorized network connections
  • Database access from unexpected sources
  • Suspicious data access patterns

Stopping Lateral Movement

Monitor for:

  • Unauthorized pod-to-pod communication
  • Service account token theft
  • Network scanning activities
  • Privilege escalation attempts

Topics

See Also