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AI Risk Assessment

IT Audit

Artificial intelligence is no longer experimental. It is being used inside all corporate productivity tools, client platforms, analytics engines, and decision-support systems across nearly every industry. Companies are adopting generative AI and machine learning solutions at an accelerated pace to increase efficiency, reduce costs, and gain a competitive advantage.
However, AI introduces risk categories that traditional IT governance and cybersecurity programs were never designed to manage or address.

AI systems can generate inaccurate outputs, introduce bias, expose sensitive data, create intellectual property concerns, and increase regulatory scrutiny. When deployed without oversight, these risks can undermine client trust, damage reputation, and create legal exposure.

Tanner Security provides AI Risk Assessment and AI Governance services designed to help businesses implement AI responsibly, defensibly, and in alignment with emerging regulatory expectations.

Why AI Risk Assessment Is Now a Business Requirement

Companies often underestimate the extent of their AI exposure. AI capabilities are embedded in SaaS platforms, CRM systems, productivity tools, development environments, and analytics applications. In many cases, AI adoption occurs organically at the user level without centralized oversight.

This adoption creates governance blind spots.

Without a formal AI risk assessment, companies face:

  • Uncontrolled use of generative AI with sensitive data
  • Inconsistent human oversight of AI-generated outputs
  • Undocumented reliance on AI for client-facing deliverables
  • Increased regulatory and contractual exposure
  • Reputational risk if AI outputs are inaccurate or biased

AI governance is no longer optional. Clients, regulators, and business partners increasingly expect documented oversight, risk management, and transparency around AI use.

It is my pleasure to highly recommend Tanner Security Consultants.  As a company dealing with large-scale construction projects, ensuring the safety and integrity of our digital infrastructure is crucial to our operations. Tanner Security Consultants not only met but exceeded all of our expectations.

Jeff M. – Chief Information Officer

Our AI Risk Assessment Approach

Tanner’s AI Risk Assessment services provide a structured evaluation of your company’s AI ecosystem, governance maturity, and risk exposure.
We begin with an AI inventory and exposure review. Our assessment includes identifying where AI is currently in use, whether through internally developed systems, third-party platforms, embedded AI features, or generative AI tools used by staff.

We then assess risk across key domains, including data privacy and confidentiality, model reliability and accuracy, bias and fairness concerns, intellectual property implications, regulatory alignment, third-party vendor risk, and cybersecurity exposure.

Our assessment evaluates AI systems across their lifecycle, from design and acquisition through deployment, ongoing use, and monitoring. We examine whether appropriate controls exist for human oversight, output validation, documentation, escalation procedures, and continuous evaluation.
The result is a clear, defensible understanding of your AI risk posture, prioritized by impact and likelihood.

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AI Governance Framework Alignment

Our methodology aligns with the NIST AI Risk Management Framework (AI RMF) and emerging industry best practices. The NIST AI RMF provides a voluntary but increasingly influential structure for managing AI-related risks in a disciplined and defensible manner.

We help businesses operationalize AI governance across four core functions:

  • Govern – Establishing policies, accountability structures, oversight roles, and executive-level ownership of AI use.
  • Map – Identifying AI systems, use cases, data dependencies, and associated risk factors.
  • Measure – Evaluating risk through testing, validation, monitoring, and documentation.
  • Manage – Implementing safeguards, human oversight controls, incident response procedures, and continuous improvement processes.

For companies deploying generative AI tools, we incorporate considerations consistent with NIST’s Generative AI Profile, addressing risks such as hallucinations, content bias, output reliability, intellectual property concerns, and scale-related impact.

Our objective is not theoretical compliance. Practical governance withstands scrutiny from regulators, clients, and boards.

Who Benefits from AI Governance Services

AI risk assessment and governance services are particularly valuable for:

  • Professional services firms using AI in client deliverables
  • Healthcare organizations handling sensitive patient data
  • Financial institutions deploying AI analytics
  • Defense contractors subject to regulatory scrutiny
  • Organizations preparing for increased regulatory oversight
  • Companies seeking to demonstrate responsible AI practices to clients

Businesses that proactively implement AI governance strengthen credibility, reduce liability exposure, and differentiate themselves in the marketplace.

Why Tanner Security

Tanner approaches AI governance from a risk-based, operational perspective. We do not provide abstract policy templates disconnected from business reality. We evaluate how AI is actually used inside your business and align governance controls with real-world workflows.

Our background in cybersecurity risk assessment, regulatory alignment, and independent evaluation allows us to assess AI systems through both technical and governance lenses. We focus on practical implementation, defensibility, and long-term sustainability.

Our objective is straightforward: enable responsible AI adoption without sacrificing innovation or exposing the organization to unnecessary risk.

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