Proactive Security for AI Infrastructure

Why would you stay handicapped against hackers?

Adversaries don’t need zero-days—they need routine

The modern AI stack runs on predictable, containerized infrastructure. That predictability gives attackers the foothold they need for credential harvesting, model theft, and runtime manipulation.

R6 Security’s Phoenix solution provides proactive defense with dynamic, self-mutating environments, versus the current solutions that have fragile, and reactive defenses.

Inspired by chaos engineering, Phoenix continuously rotates workloads and alters runtime behavior—turning infrastructure into a moving target that attackers can’t pin down.

We don’t just defend. We disrupt attacker assumptions—by design.

When Static Security Fails, Phoenix Adapts

Phoenix eliminates predictability in your AI infrastructure, stopping attacks before they start.

🔓 Model Theft or Tampering
Attackers hijack AI containers to extract or alter models.
Phoenix neutralizes this by constantly rotating and regenerating workloads, blocking persistence.

🎣 Credential Harvesting
Compromised credentials allow attackers to linger unnoticed.
Phoenix invalidates access by design through container mutation and short-lived runtime environments.

🧪 Training Data Poisoning
Corrupted inputs during model training distort results.
Phoenix disrupts poisoning attempts by rotating pipelines and keeping the attack surface dynamic.

🧠 Prompt Injection & LLM Hijacking
Malicious prompts compromise multi-agent systems.
Phoenix uses runtime variability to make memory state manipulation and prompt replay attacks ineffective.

💣 Ransomware on AI Infrastructure
Ransomware exploits static, high-value targets.
Phoenix removes these footholds entirely through automated self-healing infrastructure and zero trust.

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