BUILDING IN STEALTH / AI AGENT SECURITY

Your AI agent has access.
Does it have authority?

Fuzz is building authorization and tenant-isolation assurance for customer-facing AI agents. Know where access ends. And where risk begins.

Join our waitlist Investor contact

For security and technology leaders building with agents.

SECURITY IN MOTION30 SEC / CONCEPT SIMULATION

An illustrative enterprise workflow begins with a Slack request to summarize an Acme renewal. LangGraph coordinates a Claude research agent and an OpenAI action agent. Tool requests pass through a simulated Fuzz policy boundary to Notion, Salesforce, and Slack using MCP. A malicious instruction in a retrieved document is quarantined, an external data export is blocked and sensitive fields are redacted, and a CRM write outside the user's read-only scope is denied before execution. An authorized summary reaches the Slack account channel, with the policy decisions attached to the execution trace. One American narrator explains the complete flow; English captions are available. Technologies are illustrative examples, not verified Fuzz integrations. Actions and timing are simulated.

THE BOUNDARIES THAT MATTERUser authorityCustomer isolationPermitted actions

01 / The problem

One agent.
Many permissions.

Agents connect identity, data and tools in a single workflow. A useful answer is only one part of the equation. The reads and actions behind it need to stay inside the right boundaries.

OUR FOCUS

Keep customers apart.

tenant_a !== tenant_b

Evaluate whether an agent can cross the customer-data boundaries your application relies on.

  • Customer-facing agents
  • Cross-tenant access scenarios
  • Intended isolation model
OUR FOCUS

Keep authority in scope.

agent.scope ⊆ user.scope

Look at what an agent can read and do in the context of the person who initiated the request.

  • User and role context
  • Read and write permissions
  • Tool-level actions
OUR FOCUS

Make findings actionable.

reproduce → remediate → retest

Connect a boundary failure to evidence an engineering team can investigate and verify after a fix.

  • Reproducible scenarios
  • Expected vs. observed behavior
  • Remediation verification

02 / Our approach

Follow the action.
Inspect the boundary.

Start with the intended permission model. Explore how an agent interacts with data and tools. Connect observed behavior to evidence your team can act on.

Explore our approach
fuzz / evaluation workflowOur direction
01

Define the boundary

Identity · tenant · permitted actions

02

Evaluate agent behavior

Reads · tool calls · data access

03

Investigate the evidence

Expected scope ↔ observed result

04

Verify the fix

Reproduce · remediate · retest

03 / From our research

A clearer view
of agent security.

All research
Executive brief

Securing the agent economy

The security questions that emerge when agents gain access to enterprise data and actions.

3 October 2026 · 3 min readRead the brief
Practical checklist

Before your agent ships

Questions to ask about identity, tenant boundaries, tools and release decisions.

3 October 2026 · 2 min readRead the article
Technical perspective

What useful evidence looks like

Connect the intended permission model to an agent’s actual reads and actions.

3 October 2026 · 2 min readRead the article

04 / A few answers

Before we connect.

What is Fuzz.ai building?

We’re building authorization and tenant-isolation assurance for customer-facing AI agents. Our initial focus is the gap between the permissions an agent should have and the data or actions it can actually access.

Who is it for?

Security and technology leaders evaluating agents that interact with enterprise data, customer records or business actions. Our initial focus is customer-facing, multi-tenant applications.

Can we use Fuzz today?

Fuzz is in stealth. Join our waitlist to register your interest and tell us about your use case. Availability, evaluation scope and requirements will be discussed directly; joining does not guarantee access or a launch date.

What information should I share?

Your name, email, company and, if you choose, a short description of your inquiry. Please keep customer data, credentials, proprietary code and sensitive security findings out of the waitlist form.

Is joining the newsletter required?

No. The newsletter checkbox is optional and starts unchecked. Waitlist and investor inquiries work without a newsletter subscription.

Let’s connect

Building an agent that can take action?

Tell us what you’re working on. Help shape what comes next.

Join our waitlistInvestor contact