- Application
- Application Security
- Bare Metal
- CI/CD
- Cloud
- Cloud Infrastructure
- Cloud Native
- Cloud Security
Show all 34 topics
- Cloud Workload
- Components
- Containers
- Cybersecurity
- DevSecOps
- Enterprise
- Indicators of Compromise
- Kubernetes
- Malware
- Market
- Microservices
- Monitoring
- Multicloud
- Orchestration
- Platform Engineering
- Protection
- Runtime Security
- Security Operations
- Server
- Software
- Threat Detection
- Threat Monitoring
- Visibility
- Vulnerabilities
- Vulnerability Assessment
- Vulnerability Management
No article in the knowledge graph for Deepfence yet.
Who is Deepfence?
Deepfence is a private cybersecurity software company focused on protecting cloud native infrastructure through vulnerability management, malware detection, and runtime threat monitoring for containers, Kubernetes, and server workloads.
- Cloud native security for containers, Kubernetes, virtual machines, and bare metal
- Vulnerability assessment and software package inspection across workloads and images
- Runtime threat detection, malware scanning, and behavioral monitoring
- Support for DevSecOps and cloud operations teams in hybrid and multicloud environments
- Deployment models aligned to enterprise security operations and self managed infrastructure
Show more
More About Deepfence
Deepfence operates as a company in cybersecurity software, with its work centered on securing modern application and infrastructure environments rather than traditional perimeter systems. Its offerings are typically used by enterprises running cloud native applications across containers, Kubernetes clusters, virtual machines, and physical servers. In these settings, security teams need visibility into workload risk before deployment and during runtime, especially when software components move across build pipelines, registries, and production clusters.
The company is associated with cloud native security functions that overlap with workload protection, vulnerability management, and runtime defense. Common enterprise use cases include scanning container images and hosts for known vulnerabilities, identifying malware or suspicious artifacts within workloads, and monitoring live environments for anomalous processes, network activity, or other indicators of compromise. These capabilities fit into platform engineering, DevSecOps, and security operations workflows, where teams want coverage across development and production without relying only on endpoint tools designed for employee devices.
Its technology domain is closely tied to Linux based infrastructure, containers, Kubernetes orchestration, and cloud deployment models. In enterprise environments, this type of platform is often deployed alongside CI/CD systems, container registries, SIEM platforms, and broader cloud security tooling. Compared with general endpoint security or basic image scanning tools, Deepfence is more closely aligned with cloud workload and runtime security categories, particularly where organizations need visibility inside ephemeral and highly distributed compute environments.
For enterprise buyers, the business value is in consolidating visibility across several layers of cloud infrastructure security, from software package exposure to runtime behavior. That matters in environments where containerized applications, microservices, and automated deployment pipelines increase asset churn and shorten response windows. As a private company, Deepfence is positioned in the market as a software provider serving enterprise cloud and application security requirements, with current focus in cloud workload protection, vulnerability management, and runtime threat detection for cloud native infrastructure.
Our description of Deepfence. Updated September 2026.