Hybrid Mesh Firewall for AI: Discover, Validate, and Defend in Real Time

AI is already in your environment. Copilots, internal chatbots, customer service agents, developer tools, and a long tail of shadow AI your team didn’t sign off on. 

Each one is a new attack surface — with no WAF signature, no CVE, and no playbook. Prompt injection. Data exfiltration. Agent misuse. Compromised models in the supply chain. Lateral movement through the AI stack itself. 

Policy decks and threat blogs won’t stop any of it. Runtime controls will. 

In this demo, we’ll walk through how security teams can operationalize AI security with Hybrid Mesh Firewall – discovering AI usage, validating it before production, and defending it in real time. 

You’ll learn how to: 

Discover what’s actually running  
Automatically surface AI models, agents, and shadow AI usage across your environment, sanctioned or not. 

Validate before production  
Run AI-driven vulnerability testing (algorithmic red teaming) to uncover hidden risks before they ship. 

Detect and block real attacks 
Stop prompt injection, indirect prompt injection, training data leakage, and agent tool misuse as they happen, not after the incident report. 

Enforce runtime guardrails  
Apply policy across prompts, responses, and full AI workflows. 
Secure the AI supply chain Monitor datasets and third-party components for tampering and risk. 

Protect the infrastructure 
AI runs on Prevent lateral movement, container escape, and exploitation of CVEs in the AI stack. 

This Demo is Built For: 

• Security engineers and architects defending AI workloads 
• SOC teams adding AI-aware detection to their stack 
• Platform and infrastructure teams running AI services 
• Practitioners building AI governance with technical teeth