Bifrost provides Kubernetes-native workload protection by leveraging Linux kernel security features for cloud, hybrid, and on-prem deployments. The platform instantly analyzes every workload to deliver tailored security that proactively blocks exploits without impacting developer velocity. It integrates easily to monitor application behavior and alerts only on detected anomalies, streamlining enterprise security operations.
Funding
Funding not disclosed
Founders
Product
Problem
Commercial code often contains known vulnerabilities, and the number of malicious packages in open-source ecosystems is rapidly increasing, creating significant runtime security challenges for containerized services. Traditional security approaches struggle to adapt to the increasing velocity of software development, leading to exploitation of vulnerabilities.
Solution
Bifrost provides automated runtime security for containerized services deployed in Kubernetes environments. By integrating into CI/CD pipelines, Bifrost continuously analyzes each new build to tailor a security profile specific to each workload's behavior. This behavior-based approach minimizes the attack surface by allowing only intended software behavior and blocking everything else, effectively hardening containers and preventing the exploitation of vulnerabilities without adding dependencies to the codebase. The platform integrates with existing DevOps toolchains and SIEM tools, providing proactive security and reducing the complexity of managing runtime threats.
Target Audience
The primary target audience includes DevOps, DevSecOps, and development teams, as well as CTOs and CISOs, who are responsible for the security of containerized applications in Kubernetes environments.
Features
- Automated security profile generation based on observed software behavior
- Integration into CI/CD pipelines (e.g., GitHub Actions, Circle CI, Jenkins)
- Container hardening to minimize the attack surface
- Anomaly detection and alerting based on deviations from learned behavior
- Support for AWS, Azure, GCP, and on-premise Kubernetes deployments
- Integration with SIEM tools and messaging platforms
- Lightweight listener in the test environment; no codebase modifications required