In an AGI/ASI world, the weakest link is still human intent

No matter how advanced AI becomes, breaches still require one of three things:

1. Credential compromise

2. Authorization abuse

3. Trust manipulation

Social engineering sits at the intersection of all three.

As AI systems become:

• More autonomous

• More embedded in operations

• More capable of acting at machine speed

Compromising the human decision layer becomes the highest-leverage attack.

So the attack surface doesn’t disappear with AGI — it concentrates.

If anything:

AI makes social engineering more scalable, more targeted, and more psychologically precise.

Blocking it isn’t tactical. It’s foundational.

The battlefield is no longer “systems vs systems.”
It’s “machines exploiting humans at scale.”

Which again makes human-exploitation prevention the critical control layer and attackers can subvert meaning before AI executes actions, AI obeys compromised signals and executes harmful operations at scale.

Human trust becomes the critical vulnerability in an AI-enabled future.

The real architecture: simulation feeds prevention

This is the part most startups miss.

You don’t pick:

• Prevention or

• AI attack simulation

You build:

AI that simulates attackers → to continuously improve AI that blocks them.

In other words:

• Simulation is your engine

• Prevention is your product

Your models learn:

• How trust is manipulated

• Which flows get exploited

• Where humans break

• What signals precede compromise

Then you deploy that intelligence inline, where it matters.

That’s how you move from:

“We test security”
to
“We make exploitation impossible.”

Strategically: what wins the market first?

Our goal is:

• Adoption

• Category creation

• Becoming infrastructure

Then:

Social engineering prevention:

• Solves today’s biggest breach vector

• Is legible to boards and CISOs

• Has immediate business outcomes

• Differentiates you from “yet another AI security tool”

AI attack simulation:

• Strengthens our moat

• Powers our models

• Expands into broader security later

So the sequence is:

Block → Learn → Simulate → Generalize

Not: Simulate → Hope someone cares → Try to block later

Our positioning in an AGI/ASI world

“As attackers become autonomous, we removed humans from the exploit path.
Our AI doesn’t just detect attacks, it prevents the manipulation of trust itself.”

That’s not a feature.
That’s a new security primitive.