Discover and govern AI usage
Find every agent, including the ones nobody approved.
Employees adopt agents, MCP servers and skills faster than any approval process. Dash discovers the full agentic layer across users, devices and environments, and shows how each piece is really used.
The challenge
The shadow AI problem
Shadow AI is no longer a chat tab. It is autonomous agents with access to code, data and credentials, connected to third-party MCP servers and skills that security has never reviewed.
Unapproved agents
Agents with access to code, data and credentials, adopted faster than any approval process.
Unreviewed supply chain
Third-party MCP servers, skills and plugins that security has never reviewed.
How Dash solves it
How Dash helps
01
INVENTORY
Profile everything
Every agent, platform, MCP server, skill, plugin and extension, across workstations, SaaS and cloud.
02
CONTEXT
Understand usage
Who uses what, on which device, with which models and tools, and how often.
03
RISK
Prioritize exposure
Flag risky MCP servers, over-privileged agents and unsanctioned tools, then turn findings into policy.
04
GOVERN
Policy by context
Rules based on identity, context, intent, tools, data and actions, wherever the session continues.
Security outcomes
What teams achieve with Dash
A complete inventory
Every agent, tool and connected system, sanctioned or shadow, in one place.
Usage you can see
Usage patterns, users and data exposure for every platform.
Live in minutes
Agentless deployment through existing MDM or EDR, so discovery starts in minutes, not after a fleet rollout.
Proof