Shadow AI

What is Shadow AI

Shadow AI is AI your security team did not approve and cannot see.

Shadow AI refers to any AI model, agent, pipeline, or tool operating in your environment without the knowledge, approval, or oversight of your security team. It is the AI equivalent of shadow IT but faster moving, harder to detect, and significantly more dangerous.

Unlike a rogue SaaS tool, a shadow AI agent can actively query databases, call external APIs, access sensitive data, and take actions across your systems the moment it starts running. By the time it is discovered through traditional methods, the exposure may already be significant.

The only way to build a complete, always-current inventory of every AI workload in your environment is runtime. Guardrails can block a known agent. Asset scanners find what is registered. Neither can inventory what they never saw executing.

74%

of enterprise employees use AI tools their security team has not approved or inventoried

faster rate of AI agent adoption compared to traditional shadow IT deployment

of prompt-layer tools can detect a shadow AI agent that never interacts with an approved gateway

Why Traditional Tools Miss Shadow AI

If it was never registered, guardrails will never see it.

Guardrails and Gateways

Only monitor traffic that passes through them. A shadow AI agent that bypasses your approved gateway is completely invisible. You cannot filter what you never see.

Misses agents that bypass
the gateway

Asset Scanners and CSPM

Only find what is registered. An unauthorized agent running inside an approved container or using approved infrastructure looks like normal activity from the outside.

Misses agents inside approved infrastructure

Log Review

Finds shadow AI after the fact, if someone is looking for it. By the time a log review surfaces an unauthorized agent, it may have been running and accessing data for weeks.

Finds it after damage is already done

Runtime is the only approach that catches Shadow AI the moment it starts executing regardless of whether it was ever registered, approved, or passed through a gateway.

RoonCyber.AI intercepts AI workload execution at the kernel level. Every agent that spawns a process, makes a network connection, or accesses data is visible approved or not.

How RoonCyber.AI Finds Shadow AI

Runtime visibility that nothing can hide from.

AI Runtime Discovery

The only complete inventory of every AI workload in your environment

Surface every AI model, agent, and pipeline running in production including shadow AI. Trace every downstream vulnerability across the systems, APIs, and data each agent actually touches.

AI Visualization

Understand what shadow AI is doing and who owns it

Once discovered, RoonCyber.AI traces everything that shadow AI workload has touched every system, API, database, and data store and surfaces ownership information so you know exactly what you are dealing with.

AI Protection

Act immediately before shadow AI creates unmanaged risk

The moment an unauthorized AI workload is confirmed, RoonCyber.AI gives your team the evidence and controls to kill the process, quarantine the workload, and remove access before the exposure grows.

What we DeliveR

The unauthorized AI running in your environment right now.

Unapproved AI Models

Employees running personal or third-party AI models inside the corporate environment without security review or approval.

Rogue AI Agents

Autonomous agents deployed by business units without security involvement, running actions across production systems with no oversight.

Unauthorized MCP Servers

Unapproved Model Context Protocol servers connecting AI agents to internal tools, data, and APIs outside the sanctioned stack.

Shadow AI Pipelines

Automated AI workflows built and deployed without IT or security knowledge, processing sensitive data outside approved channels.

Third-Party AI Integrations

Vendor-supplied AI features embedded in approved SaaS tools that operate beyond what your security team reviewed or approved.

Cloud-Hosted AI Agents

AI workloads running in cloud environments or container clusters that were never surfaced in your security inventory or asset register.

AI Accessing Unsanctioned Data

Approved AI agents that have drifted beyond their original scope and are now accessing databases or data stores they were never meant to touch.

AI with Excessive Permissions

AI workloads that were approved for limited use but have accumulated permissions beyond their original authorization over time.

External AI Calling Internal APIs

AI services operating outside the corporate perimeter that are calling internal APIs or services, creating an external attack surface with no visibility.

Native Claude Integration

Ask what shadow AI is running right now.

RoonCyber.AI connects natively to Claude. Ask a plain question about unauthorized AI activity in your environment and get an instant, runtime-backed answer. No dashboard required.

Detect and Protect Against Shadow AI at Runtime.