01 · Quantify — Measurable

Make AI risk measurable.

We test the AI-specific risks traditional tools can’t reach, and turn what we find into a number. Quantified risk is what makes AI insurable.

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What we test

The AI risks your scanners can’t see.

Conventional security tooling stops at code and infrastructure. We probe the failure modes that are unique to models and autonomous agents.

Unauthorized agent actions

Prompt injection

Tool-chain poisoning

Hallucination liability

How we test

Research-grade testing — not a questionnaire.

Two modes — black-box probing live endpoints and white-box analysis of the build — driven by coverage-guided fuzzing, adversarial robustness and program analysis. Every finding lands on a three-layer risk map.

Model

The foundation layer — robustness, safety, leakage.

Agent

Autonomy, tool use, delegation, memory.

Application

How it ships, integrates and behaves in production.

3 layers operational · attack · regulatory 50 risk classesExplore the interactive risk map →

What you get

A measured profile, not a pass/fail flag.

Risk map

Every finding placed on the three-layer map — model, agent and application.

Risk score

A defensible number, built to price insurance, not just raise a flag.

Exposure points

The concrete components and behaviors that drive your risk — and feed underwriting.

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We’ll measure the risk in your AI — no commitment.

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