Shadow AI
Unsanctioned AI tools are used before IT can review, approve, or govern them.
OwnerCISO, IT Ops
Netra AI Security
The AI Control Layer,
End to End
See every AI app, agent, and MCP server your enterprise actually runs — and govern how employees and autonomous tools use sensitive data.
Get a DemoThe Problem
Five Problems You Probably Already Have
AI adoption has moved faster than enterprise security controls. These risks often happen outside the tools your current stack can see.
Coding Agents
AI coding assistants can read repositories, local files, secrets, and context at machine speed.
OwnerAppSec, Head of Engineering
BYOAI
Personal and corporate AI accounts run side by side, creating audit gaps and data boundary risk.
OwnerCISO, Compliance
Internal Oversharing
The leak can happen in the generated response, not only in the original prompt.
OwnerData Governance
Privileged Agents
One risky tool call can touch production systems, sensitive data, or business-critical workflows.
OwnerSecOps, Infrastructure
All five risks hide in how AI is actually used, so coverage has to start where users and agents work.
How It Works
One Control Layer, Every AI Surface
Netra provides endpoint-native visibility and policy across users, agents, tools, applications, and sensitive data.
Capabilities
Every AI Asset, Every Action.
One policy model across discovery, enforcement, and investigation.
01
Shadow AI Discovery
Every AI service reached from the enterprise estate, approved or not, risk-rated on first sighting.
Most approved-AI lists only show part of what employees actually use.
02
AI Asset Inventory & AI BoM
Apps, packages, MCP servers, agent tools, and AI-connected components discovered across endpoints.
MCP servers and agent skills are becoming part of the enterprise AI supply chain.
03
AI Channel Coverage
Coverage across chatbots, coding assistants, embedded AI, AI APIs, and regional AI tools.
Policy only works when coverage matches real adoption.
04
Guardrails and Data Policy
Detect sensitive data at the input, output, and session level across AI workflows.
Session-level AI context is where many traditional tools lose visibility.
05
Activity and Forensics
Reconstruct AI activity into reviewable sessions with user activity, tool usage, policy findings, and investigation context.
Security teams need evidence that can support incident response, audit, and board-level reporting.
See Your Real AI Estate
Run a proof of value on your own AI usage data, not a demo environment.
Get a Demo