R6 Security develops an Automated Moving Target Defense (AMTD) technology called Phoenix, which provides dynamic protection for containerized environments, including Kubernetes, against network and transport layer threats. This solution mitigates vulnerabilities to cyberattacks, such as prompt injection attacks on AI applications, by continuously adapting to emerging threats.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional security solutions are often reactive and struggle to defend against emerging threats targeting containerized environments and AI applications, including prompt injection attacks. Static infrastructure provides attackers with a stable target, increasing the likelihood of successful breaches and data compromise.
Solution
R6 Security's Phoenix is an Automated Moving Target Defense (AMTD) solution designed to proactively protect containerized environments, such as Kubernetes, and AI workloads from network and transport layer attacks. Phoenix continuously adapts the attack surface, creating a dynamic defense that stays ahead of evolving threats and mitigates vulnerabilities. By automating security protocols and integrating seamlessly with DevOps workflows, Phoenix reduces the window of vulnerability and disrupts attackers' return on investment. The platform employs a game theory approach to container runtime security, ensuring that attackers face dynamic challenges, making their reconnaissance and exploitation efforts unsustainable. Phoenix fortifies AI applications against prompt injection attacks by constantly rotating AI workloads, denying attackers a stable target.
Target Audience
R6 Security targets DevOps and security teams responsible for securing containerized environments, Kubernetes deployments, and AI-driven applications against advanced cyber threats.
Features
- Adaptive firewall powered by AMTD technology that continuously evolves to stay ahead of emerging threats
- Seamless integration with existing Kubernetes setups, enhancing security without disruption
- Scalable solutions suitable for small workloads to large enterprises
- Proactive defense against prompt injection attacks on AI applications
- Kubernetes operator enabling moving target defense on any Kubernetes deployment
- Real-time rotation of AI workloads to prevent attackers from establishing a foothold
- Prometheus-driven triggers for security policies based on real-time observations
- Integration with Trusted Execution Environments (TEEs) to minimize overhead while maximizing protection