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AI systems can appear trustworthy without understanding trust

One thing becoming increasingly obvious while testing AI systems:

AI can simulate trust surprisingly well.

AI systems can fail convincingly

One thing becoming increasingly clear while testing AI systems:

AI systems can follow instructions perfectly… and still fail

O

ne thing becoming increasingly clear while testing AI systems:

The weirdest AI attacks aren’t technical. They’re conversational.

One pattern we keep seeing while testing AI systems:

Many failures don t happen through traditional exploits.

AI confidence is becoming a security problem

One thing we ve noticed while testing AI systems:

Confidence is often mistaken for correctness.

A system can:

sound certain

What happens when AI gets conflicting instructions?

Tested an AI system with conflicting instructions.

It didn t fail.

Are you actually testing your AI… or just hoping it works?

Serious question for builders here:

Are you actively testing your AI systems for adversarial inputs?

Or mostly:

build test deploy

Real result: 217 vulnerabilities in 62 seconds

We ran a security test on an AI system.

Existing AI security tools

AI security tools exist.

But most aren t built for developers.

Here s the problem

How current AI security tools compare (and what’s missing)

We spent some time looking at existing AI security tools while building in this space.

There s a lot of strong work already out there.

But when you look closely, most tools fall into a few patterns:

Research-focused tools