The human mind is our lens

Understand your AI. Then tune it.

How a human mind works is our lens for reading a model. We catch where it drifts, caves, or misreads the person in front of it, and we add what it lacks, like reading sarcasm. First we understand it, then we tune it.

PSA behavioral dashboard

A model isn't a human mind. But it behaves like one: it drifts, caves under pressure, and reads the person in front of it well or badly. So the way to understand what it's doing is to know how a mind works, and that same understanding is how you tune it: correct what drifted, and add what it never had, like reading sarcasm. Everyone else stops at a score. We read the behavior, then we tune it.

And when that behavior goes wrong, it costs the most here

Healthcare
Finance
Legal
Public sector
Customer support
Autonomous agents
Healthcare
Finance
Legal
Public sector
Customer support
Autonomous agents

The problems we understand

Four ways an AI goes wrong without ever saying so

Hallucination

It invents things, and sounds certain.

A model rarely says "I don't know." It fills the gap with something that reads perfectly and is simply false, a figure that was never real, a case that never happened. In a support, legal or medical assistant, that confidence is the danger.

We read it as a symptom, on every reply, before it becomes a decision.

Sycophancy

It tells you what you want to hear.

Push a little and it folds: agrees with a wrong premise, softens a firm "no", backs down the moment you insist. Charming in a demo; a liability when a customer, patient or trader leans on that answer.

We measure how much it caves and flatters under pressure, turn by turn.

Regulation · EU AI Act

The law asks you to prove it behaved.

The EU AI Act, GDPR and the sector rules behind them don't accept "trust us". You have to show what your AI did, how it behaved, that risky moments were caught. A promise is not a record.

We keep a tamper-evident record, privacy-safe, no raw text stored, erasable on request.

Drift · silent updates

Today's model isn't the one you approved.

Vendors update models without telling you; behavior shifts a little every week. Nothing announces the day your assistant got more agreeable or started cutting corners. By the time it shows up in complaints, it has run for weeks.

We track behavior over time and flag the day it changes.

The platform

One platform, six instruments

One-to-one
Agent teams
Summaries
Search (RAG)
Leaks
Risk profile

Read a one-to-one conversation

See how your AI behaves reply by reply with a person: does it flatter, cave under pressure, invent facts, or hold its line, and is the person in front of it in trouble.

Posture on every replyPressure & capitulationHuman-AI risk

Watch a team of AI agents

When several agents work together, one agent's bad behavior spreads to the others. We map the team as a graph and show the contagion and the weakest link.

Contagion between agentsWeakest linkBlast radius

Check what a summary changed

Compare an original text with its summary and catch where the meaning shifted: a "maybe" turned into a fact, a key number dropped, a claim that was never there.

Meaning driftDropped factsInvented claims

Catch a biased search

For assistants that search documents to answer, we detect when a loaded question steers the search to the wrong sources, biasing the answer before a word is written.

Retrieval driftLoaded questionsSource bias

Spot a leak spread across agents

A secret can leak a harmless-looking piece at a time across many agents. The signal lives only in the sum, invisible to any single-message check. We watch the whole swarm.

Distributed exfiltrationData poisoningSwarm-level signal

A psychological risk profile

A 100-point behavioral risk profile across ten categories, for a person, an AI, or the two together, grounded in published research (Canale, 2025).

100 indicatorsHuman · AI · hybridPublished framework
PSA dyadic analysis dashboard
PSA agent-swarm dashboard
PSA analysis record
PSA retrieval-drift dashboard
PSA distributed-exfiltration dashboard
PSA CPF risk-profile dashboard

How it works

Three steps. About thirty seconds.

1

Send the text

Any reply from any model, paste it in, or send it through the API. No keys, no access to the model.

2

We read the behavior

Behavioral classifiers score posture, risk and drift in real time, the same way, every time.

3

You get a clear signal

Green, yellow or red, each with a named reason you can act on and show to an auditor.

Why trust it

Built on published science, not vibes.

Every measurement traces back to a specific indicator in the Cybersecurity Psychology Framework, a published taxonomy of 100 behavioral vulnerabilities (Canale, 2025). The method is open, the science is citable, and the scoring is the same for everyone.

Plan

Start free. Scale when you need to.

Free

Free forever, for trying PSA and light personal use.

  • 50 analyses / month
  • 5 sessions
  • All metrics
  • API access
Get started free
Enterprise

For organizations with compliance needs.

  • Unlimited analyses
  • Unlimited sessions
  • Full API access
  • Priority support
Contact us

The free tool needs no account. For Business or Enterprise, get in touch and we'll tailor a plan.

See what your AI is really doing.

Free to start. First reading in about thirty seconds. No signup, and no access to your model required.