AI, MCP & shadow AI
AI Attack Surface
Discover exposed LLM endpoints, MCP servers, vector stores, and unsanctioned AI tools before they become a data path out.
The problem
Teams stand up agents, MCP servers, and vector databases faster than security can inventory them. If it is reachable, it is in scope — whether or not it is in the CMDB.
What you leave with
You get ahead of a category most teams still treat as ad hoc. Early customers shape the signatures.
Consulting — available now
Paid work. Real findings. This is the offer we want in market while the software is still being built.
- ▸Discovery of public AI endpoints, MCP servers, and vector databases you consent to test
- ▸Shadow-AI survey: which SaaS models and keys are already in use
- ▸Exposure notes: keys, prompts, and data paths that should not be public
- ▸A 90-day control plan for AI assets, written for CISO and engineering
Product — in build
Design partners see this first when the customer portal ships. Public release follows the engagements, not the other way around.
- ▸Continuous discovery of exposed AI infrastructure
- ▸Shadow-AI signals next to cloud and external findings
- ▸Platform module when the rest of the graph is ready
Book a AI Attack Surface consult
Two weeks. One surface. A close plan you can run — and an invitation to stay as a design partner.