Access Management for AI agents.

Delegate power to agents
without delegating full risk.

Runs on top of your existing IAM and SSO infrastructure

Join the pilot

The Bad Tradeoff:
Overpermissioned or Useless

If AI agents inherit broad employee access, they are highly
functional but become overpermissioned and expand blast radius
far beyond the task. If permissions are too restricted, they lose
the context and power needed to do useful work.

Kanuki gives agents workflow-
scoped risk-calibrated access:

Risk-calibrated delegation

Define how much blast radius is
acceptable for this task

Workflow-scoped access

Limit the systems, resources, and
actions available to the agent

Time-bounded permissions

Access expires automatically when the task
ends or the time window closes

Human-linked delegation

Every agent acts on behalf
of a specific employee

Decision traceability

Log who delegated access, what
was approved, and why

Example Workflows

A. Prototype work:

Full write access inside one prototype repo, with no
access outside it. Optimized for speed.

B. Production review:

Read-only access across multiple codebases for broad
context, while customer-data systems stay out of scope.
Optimized for analysis without unnecessary risk.

How It Works:

I

A human delegates a workflow
with a defined risk boundary

The employee approves the goal, the level of
autonomy, and the acceptable blast radius for the
workflow.

II

Kanuki turns that into
enforceable access

Kanuki sits on top of your existing identity and
SSO systems and issues permissions for the
specific systems, actions, and time window the
workflow requires.

III

Every decision
and action is recorded

The agent can operate only within the
approved scope. Authorization and access
events are logged.

Experimenting with AI agents?

We’re working with early teams to understand how agent
access should adapt to different risk profiles

Discuss your setup

Questions? Skeptical?
Talk to the founder:

Lisa Akselrod

Lisa Akselrod

CEO & Founder, Kanuki