Cybersecurity has spent decades looking backward.

Every security system begins with evidence: an alert, a signature, a vulnerability, a log, an attack already underway.

We have become extraordinarily good at explaining how we were breached.

That is no longer enough.

The attacker is learning.

Artificial Intelligence can now probe, reason, adapt, and move through an organization at a speed no human team can match. A security industry built to recognize yesterday’s attack is being asked to stop an adversary capable of inventing tomorrow’s.

Harbinger Labs exists to reverse that advantage.

We are building models (“World Models”) that understand an organization well enough to predict how an attacker will move through it—before they move.

Our first model is Scry.

Instead of handing defenders another map of everything that could go wrong, Scry identifies the routes that matter most, predicts how an intrusion is likely to unfold, and shows which change can stop it.

Then it does it again tomorrow.

We begin with identity, because identity sits at the center of the modern enterprise.

But identity is only the beginning.

Companies are living systems of people, machines, software, data, permissions, and infrastructure. Our ambition is to model those systems well enough that an attack becomes visible not after it happens, but while it is still only a possibility.

From enterprise networks to cloud infrastructure, factories, power grids, and national defense, the principle is the same:

Know how the adversary will move before they do.

For decades, cybersecurity has asked: What happened?

Then it learned to ask: What is happening?

Harbinger is built to answer the question that matters next: What happens next?

The industry has spent decades building better alarms.

We are building foresight.