Features · Security & Backup · AI Compliance Hub
Enterprise · 4 phases shipped

Your AI footprint, written down
before legal asks for it.

Shadow-AI detection, outbound spend tracking, AI Bill of Materials, MCP fleet monitoring — the four artefacts the EU AI Act and SOC 2 reviewers will ask for, generated continuously and exportable.

PHASE 01

Shadow-AI

Discover every LLM runtime, model file, framework and CUDA stack on your fleet.

8+runtimes detected
PHASE 02

Spend Tracker

Watch outbound traffic to AI APIs. Estimate cost, attribute it, set budgets.

10+providers tracked
PHASE 03

AI-BOM

EU AI Act risk-classified inventory. PDF + CycloneDX 1.5 export.

4risk tiers
PHASE 04

MCP Fleet

Auto-discover MCP servers. Health, tools, tool-injection alerts.

4transports
— Phase 01 · Shadow-AI Detection

Find the LLMs your team forgot to tell you about.

The agent scans every host every five minutes for LLM runtimes, model files, AI Python packages, and CUDA stacks. New finds become events; whitelisted ones go quiet automatically.

AI Footprint · vps-eu-1 3 unwhitelisted
ollama-runner PID 18244 · :11434 PROCESS
llama-3.1-70b-instruct.q5_k_m.gguf 42.4 GB MODEL
huggingface_hub/models--meta-llama cache PROVENANCE
vllm 0.5.3 FRAMEWORK
CUDA 12.4 · driver 550.90 A100 80GB STACK
— Phase 02 · Outbound AI API Spend Tracker

Who called what AI with what data.

The agent watches connections to known AI hosts — OpenAI, Anthropic, Azure OpenAI, Bedrock, Gemini, Groq, Mistral, Cohere, Perplexity, Together, more. Cost estimated from a configurable pricing table; per-tenant overrides for Enterprise contracts.

April · €2,847.32 on budget
Anthropic 46 %
OpenAI 28 %
Azure 14 %
Other 12 %
Anthropic · €1,309 OpenAI · €797 Azure OAI · €398 Other · €343
api-prod claude-3.5-sonnet €612
batch-summarizer gpt-4o €441
embedding-pipeline text-embedding-3-large €186
— Phase 03 · AI Bill of Materials

The artefact your auditor actually wants.

Compliance-ready inventory aggregated from Shadow-AI detections. De-duped across hosts (the same framework on 10 servers is one BOM entry). Per-entry human metadata: risk class, purpose, data inputs, license, publisher.

Risk overview · 47 entries 2 unacceptable
automatic1111 (image gen) 3 hosts unacceptable
deepfacelab 1 host unacceptable
vllm 12 hosts high
claude-3.5-sonnet (API) api-prod limited
torch 28 hosts minimal
CUDA toolkit 12.4 14 hosts minimal
— Phase 04 · MCP Fleet Monitoring

Watch the AI-tool surface, not just the model.

MCP servers are the new attack surface — they own actions on your infrastructure. We auto-discover them via process signatures and localhost MCP initialize handshakes; manual registration covers external endpoints.

MCP Fleet · 6 servers 5 healthy
filesystem-mcp 12 tools 42 ms
github-mcp 28 tools 118 ms
postgres-mcp 9 tools 31 ms
jira-mcp 14 tools 5 800 ms
slack-mcp 7 tools +1 new 88 ms
notion-mcp — down timeout

Compliance evidence the framework actually accepts.

Continuous, auditable, exportable. Without an extra vendor.

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