The Future of  Cloud Security

Why would you stay handicapped against hackers?

Protect Your Containers with Cutting-Edge Automated Moving Target Defense

In a world where cyber threats evolve every second, your defense strategy needs to stay ahead. Welcome to R6 Security, the pioneers in Automated Moving Target Defense (AMTD) technology, offering unparalleled protection for your container environments, including Kubernetes and fortifying your AI applications against prompt injection attacks. 

Cyberattacks continue as hackers continue to find vulnerabilities to get through an organization’s infrastructure including containers and Artificial Intelligence based applications.. When an infrastructure is under an asymmetric attack, there is no perfect security. Only effective solution is an asymmetric moving target defense. Prompt injection attacks can manipulate AI applications, leading to erroneous outputs and compromised data integrity. Traditional security measures often fall short in addressing these sophisticated attacks.

Why Choose R6 Security?

1.  Proactive Defense
   Our adaptive firewall, powered by AMTD technology, 
   continuously evolves to stay ahead of emerging threats.
   
2. Seamless Integration 
   Integrate effortlessly with your existing Kubernetes setup, 
   enhancing security without disruption.
3. Scalable Solutions
   From small workloads to large enterprises, our solutions grow with your business needs.
4. Innovative Technology
   Harness the power of Automated Moving Target Defense for 
   unparalleled cloud security.
   

Fortifying AI Applications Against Prompt Injection with AMTD Technology

In the rapidly advancing field of artificial intelligence, protecting your AI applications from prompt injection attacks is paramount. R6’’s Automated Moving Target Defense (AMTD) technology called Phoenix offers a revolutionary approach to securing your AI-driven solutions.

R6 is building Phoenix, a Kubernetes operator that can enable moving target defense on any Kubernetes deployment. Making them: