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- AI Risk Assessment
Know your AI risk
before someone else finds it for you.
Every company using AI whether you’ve built it or bought it carries risk. Most don’t have a clear view of what that risk actually is. We give you one.
── The Problem
AI risk is real. Most companies are guessing at it.
It’s not just about the models you build. It’s about the data you feed them, the decisions they influence, the vendors you rely on, and the accountability gaps that no one has mapped yet.
Customer security questionnaires are getting more specific. Regulators are paying closer attention. And enterprise deals are starting to stall when buyers can’t get clear answers about how AI is used and governed.
Without a structured assessment, you’re flying blind, and hoping no one asks the hard questions.
── What We Do
A structured, expert-led assessment of your AI risk with a clear path forward.
We map how AI is used across your product and operations, assess it against real risk criteria, and give you a prioritized picture of where your exposure is and what to do about it.
No theoretical scoring models. No generic output. A real assessment, delivered by people who understand both cybersecurity and AI.
── What's Included
Everything you need to go from invisible to in control.
AI Use Inventory
We document how AI is used across your product, infrastructure, and business operations including third-party tools and integrations.
Risk Identification
We assess your AI use across key risk dimensions: data privacy, bias and fairness, transparency, model security, third-party dependencies, and regulatory exposure.
Risk Scoring & Prioritization
Every risk is scored by likelihood and business impact. You get a clear picture of what needs attention now, what can wait, and why.
Remediation Recommendations
Practical, prioritized steps to address identified risks, written for your team, not a compliance officer in a different industry.
Executive-Ready Report
A clear deliverable you can share with leadership, enterprise clients, auditors, or board member, without needing to translate it first.
── Who This Is For
What teams typically ask about AI Compliance.
- Companies building AI features into their product
- Organizations using AI tools in operations or customer-facing workflows
- Teams preparing for enterprise security reviews or SOC 2 and ISO audits with AI scope
- Leadership teams that want a clear picture of AI risk before it becomes a problem
── Common Questions
What organizations ask before starting.
What kinds of AI risk do you assess?
We cover data privacy and handling risks, model security, bias and fairness exposure, third-party AI vendor risk, transparency and explainability gaps, and regulatory compliance risks — including GDPR, EU AI Act, and NIST AI RMF alignment.
We use mostly off-the-shelf AI tools, not custom models. Does this still apply?
Absolutely. Third-party AI tools often carry more risk than custom ones, because most companies haven’t evaluated them properly. We include all AI in scope — built and bought.
How is this different from a standard security risk assessment?
A security risk assessment focuses on infrastructure, access, and data. An AI risk assessment focuses on the specific risks introduced by AI systems: the decisions they make, the data they consume, the vendors behind them, and the regulatory obligations they create.
What do we get at the end?
A prioritized risk register, a scored findings report, and a practical remediation roadmap — all in a format you can share internally or with external stakeholders.
How long does it take?
Most assessments are completed in 3–5 weeks, depending on the scope of your AI environment.
Not sure how exposed you are? That’s exactly why you do this assessment. Let’s talk
Senior consultant — not a sales rep. No commitment.