Enforce least privilege for agents
Give every agent only the access its task needs.
Restrict agent entitlements and permissions to only what is needed for the task. Dash turns your AI policy into enforcement that follows every agent session.
The challenge
Agents hold more access than the task needs
Coding agents read your code, run shell commands and hold real credentials. One injected instruction can turn a helpful agent into an insider threat.
Over-privileged agents
Broad tool, data and credential access granted once and never scoped down.
Policies on paper
Rules that live in documents, not in the agent session.
How Dash solves it
How Dash enforces least privilege
01
ASSESS
What each agent can reach
Continuous assessment of what each component can do and what it can reach.
02
POLICY
Rules by context
Rules based on identity, context, intent, tools, data and actions, wherever the session continues.
03
APPROVE
A human in the loop
Block, suspend the session, or require human or Dash Agent approval for sensitive steps.
04
AUDIT
A record for every decision
A record for every agent decision, with role-scoped policies for day-2 operations at scale.
Security outcomes
What teams achieve with Dash
Access under control
Platform usage, tool access and data permissions under control.
Approvals, automated
Automated approvals and just-in-time access.
Policy enforced
Organizational and regulatory policies enforced in every session.
Proof
Why teams trust Dash
“With Dash, we can govern over-privileged agents and identify risky MCP servers or skills.”
US technology company