Discover and Secure Shadow AI Across Cloud Infrastructures
Track, inventory, and audit unmanaged artificial intelligence tools, inference endpoints, and vector databases deployed by developers without authorization.
The Challenge
Developers often spin up unauthorized machine learning environments (like Ollama, Jupyter, or Hugging Face) that handle corporate data. If left unsecured, these nodes can leak source code or proprietary IP to the public web.
The Solution
SurfaceScan continuously scans external ports and ASNs to discover unauthenticated AI infrastructure, preventing data exfiltration and prompt injection vulnerabilities.
Key Capabilities
Compliance & Architecture FAQ
What is Shadow AI and why is it a security risk?
Shadow AI refers to the unauthorized deployment of artificial intelligence tools and models by employees. It introduces risks such as data leaks (feeding sensitive data to public LLMs), model poisoning, and exposed GPU/inference endpoints that allow remote shell execution.
How does SurfaceScan discover unmanaged AI tools?
We monitor active listening ports for popular machine learning platforms, LLM orchestrators, and vector databases, confirming if they are publicly reachable without authentication.
Protect Your External Attack Surface Today
Book a custom demo to audit your infrastructure alignment and run a security discovery scan in under 15 minutes.