4.9on G2

AI Risk Assessment

Know your AI risk before your clients or regulators find it for you. A structured, expert-led assessment with a clear path forward.

It never felt transactional, we knew they wanted us to succeed.Ohad Gablinger, VP Operations & IT, Deep Instinct
  • Wix
  • Imperva
  • Cato Networks

AI risk is real. Most companies are guessing at it.

It is not just the models you build. It is the data you feed them, the decisions they influence, the vendors you rely on, and the accountability gaps no one has mapped yet. Security questionnaires are getting more specific, and enterprise deals stall when buyers cannot get clear answers.

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.

Compliance, without the compromises.

  • Direct line to your auditorNo ticket queues. Message your audit team directly and get real answers, fast.
  • One team, every frameworkSOC 2, ISO 27001, PCI DSS, pen testing: one team, one timeline, no duplicate evidence.
  • We work with your stackWe plug into the compliance platforms you already use, adapt to your processes, or bring our own tooling at no extra cost.
  • Fixed scope, fixed priceOne clear quote upfront. No change orders, no surprise fees mid-audit.
  • Timelines you can plan aroundClear milestones from kickoff to report.
  • Always know where you standLive visibility into audit progress, no chasing status updates.
  • Built for fast-moving teamsWe understand cloud-native, SaaS and modern DevSecOps, so there is no explaining your stack from scratch.
  • Support that does not end at the reportWe stay in your corner after the report: ongoing guidance, not a one-time transaction.

How an AI Risk Assessment runs.

Three phases, from inventory to an executive-ready report.

Map

  1. AI use inventoryHow AI is used across your product, infrastructure and operations, including third-party tools and integrations.

Assess

  1. Risk identificationData privacy, bias and fairness, transparency, model security, third-party dependencies and regulatory exposure.
  2. Scoring and prioritizationEvery risk scored by likelihood and business impact: what needs attention now, what can wait, and why.

Act

  1. Remediation recommendationsPractical, prioritized steps, written for your team.
  2. Executive-ready reportA deliverable you can share with leadership, enterprise clients, auditors or your board.

A security risk assessment or an AI risk assessment?

Security risk assessment

Focuses on infrastructure, access and data.

The right tool for your overall security posture.

AI risk assessment

Focuses on the risks AI introduces: the decisions it makes, the data it consumes, the vendors behind it and the obligations it creates.

The right tool when AI is in your product or workflows.

Many companies need both. We can scope them together.

What an AI Risk Assessment does for your business.

  • Unstick enterprise dealsClear answers when security questionnaires ask how you use and govern AI.
  • Clarity for leadershipOne report your board and executives can act on without translation.
  • Ready for regulatorsKnow where you stand against GDPR, the EU AI Act and the NIST AI RMF.
  • Spend where it mattersPrioritized fixes, so effort goes to the risks with real impact.

Why teams choose GRSee for an AI Risk Assessment.

We truly enjoyed working with you and highly recommend your services to anyone looking for professionalism and excellence in cybersecurity.Kobi Lechner, Co-Founder and COO, Rescana
  • Cybersecurity and AI, togetherAssessed by people who understand both, not a generic risk template.
  • Built and bought, both in scopeThird-party AI tools often carry more risk than custom ones, so we include all of it.
  • Ready to act onFindings come scored, prioritized and written for your team.
We were impressed by how deep and thorough the GRSee team got familiar with our platform during the onboarding process. Omri Mendelevich, CTO & Co-Founder, Dynamic Yield
  • Claroty
  • HoneyBook
  • Taboola

AI Risk Assessment questions, answered.

Still not sure? Bring your questions to a scoping call.

What kinds of AI risk do you assess?

Data privacy and handling, model security, bias and fairness, third-party AI vendor risk, transparency and explainability gaps, and regulatory compliance, including GDPR, the EU AI Act and NIST AI RMF alignment.

We mostly use off-the-shelf AI tools. Does this still apply?

Absolutely. Third-party AI tools often carry more risk than custom ones, because most companies have not 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 risks AI systems introduce: the decisions they make, the data they consume, the vendors behind them and the obligations they create.

What do we get at the end?

A prioritized risk register, a scored findings report and a practical remediation roadmap, in a format you can share internally or with external stakeholders.

How long does it take?

Most assessments are completed in 3 to 5 weeks, depending on the scope of your AI environment.

Book your scoping call.

Not sure how exposed you are? That is exactly why you do this assessment. Senior consultant, not a sales rep. No commitment.

  • A direct line to your auditor
  • We work with your stack
  • Fixed scope and price

Local teams, your time zone

  • United States
  • Europe
  • Middle East

We work in your time zone and support you in multiple languages.

We felt there’s an owner to the project, who knows from start to finish what to do and how to do it in the most efficient way. Kobi Kochavi, Senior Information Security Manager, Forter
  • Claroty
  • Moovit
  • RingCentral

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