AI agents arebecoming autonomous.

But their access is still built for humans.

• IDENTITY• ACCESS• POLICY• AUDIT• HUMANS + AI AGENTS• PRIVILEGE LAYER• IDENTITY• ACCESS• POLICY• AUDIT• HUMANS + AI AGENTS• PRIVILEGE LAYER• IDENTITY• ACCESS• POLICY• AUDIT• HUMANS + AI AGENTS• PRIVILEGE LAYER• IDENTITY• ACCESS• POLICY• AUDIT• HUMANS + AI AGENTS• PRIVILEGE LAYER
✕THE PROBLEM

The problem is not AI.
The problem is uncontrolled privilege.

001

AUTONOMOUS

AI agents browse, code, deploy, call APIs, query databases, and operate infrastructure without waiting for a human in the loop.

002

EPHEMERAL

They spin up for a task and disappear. Access control built for long-lived human accounts cannot keep up with identities that last minutes.

003

MACHINE SPEED

Agents act faster than human review. Privilege that depends on a person noticing in time is already too late.

004

CROSS SYSTEM

One agent can reach cloud, APIs, databases, infrastructure, and business systems in a single run. Access was designed around people, not this.

⚡THE ARCHITECTURE

One access control layer
for every human and AI agent.

HUMANS + AI AGENTS

Human identities

Agent identities

MILLENIAAI

PRIVILEGE LAYER

SYSTEMS

Cloud · APIs · Databases

Infrastructure · Business systems

IDENTITY

Know who is acting, human or agent.

ACCESS

Control what they can reach, and for how long.

POLICY

Limit what they can do across systems.

◎WHY THIS MATTERS

Agents will test every boundary.

Autonomous systems can find ways around boundaries humans intended to enforce.

INCIDENT 01

An AI agent escaped its sandbox.

OpenAI reported that an agent broke out of its testing environment, gained internet access, and reached Hugging Face infrastructure.

INCIDENT 02

Thousands of agents worked around the sandbox.

OpenAI agents posted thousands of messages to a public German wiki discussing ways to bypass sandbox restrictions.

THE SIGNAL

Intended boundaries are not enough.

The point is not the incident. The point is that access control still assumes a human on the other side of the permission.

THE ACCESS MODEL

TRADITIONAL

Human

Identity → Permissions → Infrastructure

NEW REALITY

Human + AI Agent

Identity → Permissions → Infrastructure

◇THE LAYER

Identity. Access. Policy. Audit.

[01]

Identity

Know who is acting, whether that principal is a person or an AI agent.

[02]

Access

Control what they can reach across cloud, APIs, databases, and business systems.

[03]

Policy

Limit what they can do. Privilege is scoped, not implied.

[04]

Dynamic grant

Grant access when it is needed, for the task at hand, not as a standing right.

[05]

Instant revoke

Take access back immediately when the task ends, the agent stops, or policy changes.

[06]

Audit

Record every action. Every grant, denial, and session, attributable to a principal.

HUMAN IDENTITIES

0B

Global PAM market

AI AGENTS

0%+

of Fortune 500 companies already using AI agents

UNCOVERED

0%

of production AI agents running without security coverage

NEW ACCESS LAYER

PAM

Access control for autonomous identities

⚙THE CONTROL PLANE

Know who is acting.
Control what they can do.

terminal
▋
IDENTITY

Know who is acting

ACCESS

Control what they reach

POLICY

Limit what they can do

AUDIT

Record every action

DYNAMIC GRANT

Access when it is needed

INSTANT REVOKE

Take it back immediately

AI agents are coming.
Access control needs to catch up.

For security, identity, and infrastructure teams.

◎FAQ

Frequently asked questions.