01 · Quantify — Measurable

Make AI risk measurable.

Janus, our measurement engine, tests the AI-specific risks traditional tools can’t reach — and turns what it finds into a number. Quantified risk is what makes AI insurable.

Request an exposure assessment →

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 — meet Janus

Research-grade testing — not a questionnaire.

Our engine is Janus — named for the god who looks both ways. Janus Outward probes your live endpoints black-box, the way an attacker would; Janus Inward analyses the build white-box, the way an auditor would — 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, behavioral integrity, the delegation chain, memory.

Application

How it ships, integrates and behaves in production.

3 layers operational · attack · regulatory 51 risk classes

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 — underwriting-grade evidence insurers can price on, not just a flag.

Exposure points

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

Request an exposure assessment

We’ll measure the real risk in your AI agent — and walk you through what it finds.

Request an exposure assessment →