CrowdStrike Falcon® Cloud Security
Secure Kubernetes and containers from build to runtime
Mitigate risk before deployment and detect threats at runtime with full lifecycle security for containers, Kubernetes, and AI workloads.
Complete container protection from pipeline to production
Combine agentless image assessment, AI-driven runtime defense, and adversary-informed risk prioritization to secure containers and Kubernetes at every stage.
Prevent risky images before deployment
Reduce production risk by stopping vulnerable and non-compliant images from advancing through development pipelines:
- Detect vulnerabilities and dependencies across registries
- Generate SBOMs for supply chain transparency
- Prioritize exploitable risks using adversary intelligence
- Enforce security policies in CI/CD workflows
- Block high-risk builds before production
×
![]()
×
![]()
Comprehensive container visibility
Close blind spots across containers, Kubernetes, and serverless environments with continuous discovery and unified visibility:
- Discover containers across managed and self-managed clusters
- Identify rogue or attacker-spawned containers
- Surface unprotected assets requiring security coverage
- View clusters and workloads in a single console
Runtime threat detection for containers
Detect and prioritize active threats across containers, Kubernetes, and serverless environments using adversary intelligence and control plane visibility:
- Gain runtime visibility with a sensor optimized for containers
- Combine agent-based runtime monitoring with agentless detections across the Kubernetes API Server
- Correlate user and service account activity to container behavior
- Identify workload drift and unauthorized containers
×
![]()
×
![]()
Policy enforcement across the container lifecycle
Apply consistent guardrails from build to runtime without slowing development.
- Block risky deployments with the Kubernetes Admission Controller
- Enforce policies across containers, nodes, and functions
- Codify custom security requirements into programmable policies
- Continuously assess workloads against compliance benchmarks
Securing AI development with Trusted Container Images
Accelerate AI innovation by ensuring only verified, compliant container images power production AI environments:
- Assess images used in NVIDIA NIM and AI pipelines
- Enforce trusted image policies before deployment
- Apply consistent security controls across AI workflows
×
![]()
