AI & LLM

AI Risk Assessment

Structured review of AI system risk across data, model, and deployment — mapped to frameworks.

Overview

AI risk assessment is a structured review of an AI system’s risk across data, model, and deployment — mapped to frameworks like the NIST AI RMF — to give you a clear, prioritized picture of exposure.

What we test

Where attackers get in — and where we look.

Data governance & lineage

Model & supply-chain risk

Deployment & access controls

Framework mapping (NIST AI RMF)

Threat modeling

How we test

A proof-driven methodology.

Scope & recon

We agree objectives and rules of engagement, then map what you actually expose.

Map the attack surface

Enumerate entry points, roles, and trust boundaries a real attacker would target.

Manual exploitation

Certified testers exploit flaws by hand — chaining issues scanners never connect.

Prove impact

Every finding ships with a working, reproducible proof-of-exploit and business context.

Report & retest

Risk-ranked report with fixes, then a retest that confirms each issue is closed.

What you get

Proof you can act on.

Reproducible proof-of-exploit

Every finding ships with a working exploit and evidence.

Risk-ranked report

CVSS + business context, prioritized for your team.

Remediation guidance

Actionable fixes mapped to each finding.

Retest to verified fix

We confirm closure — proof it’s fixed, not assumed.

FAQ

AI Risk Assessment — questions buyers ask.

How is this different from AI penetration testing?

A risk assessment is a broad, framework-based review of governance and design; penetration testing is hands-on exploitation. Many teams start with the assessment, then test the highest risks.

Which frameworks do you map to?

Primarily the NIST AI Risk Management Framework, alongside OWASP LLM and relevant regulatory guidance.

What do we receive?

A prioritized risk register across data lineage, model and supply-chain risk, and deployment controls, with clear remediation guidance.

Prove what an attacker could actually do.

A short scoping call, no obligation.