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AI Exposure & Governance

Understand your risk. Build your framework. Adopt with confidence.

Your employees are already using AI. The question is whether you know which tools, what data they're sharing, and who's accountable when something goes wrong.

The AI exposure problem is already inside your walls

Employees are already using AI tools that IT never approved and pasting sensitive business data into them, and organizations without governance pay measurably more per breach.

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Your employees are already using AI tools that IT never approved. According to ISACA and UpGuard, 59% of workers now rely on shadow AI for everyday tasks, from summarizing meetings in ChatGPT to uploading financial reports into tools no one has reviewed.

The data leaving your walls is worse than you think. Kiteworks found that 77% of AI users have pasted sensitive business data into these platforms, including source code, client records, and personally identifiable information. Most organizations have zero visibility into any of it.

Inaction carries a measurable price tag. IBM's 2025 Cost of a Data Breach report shows that organizations without AI governance pay an average of $670,000 more per breach than those with established programs.

Published figures and their sources

FigureWhat it measuresSource
59%of employees use unapproved AI tools at workISACA / UpGuard
77%of AI users have pasted sensitive business data into AI toolsKiteworks
$670Kadditional breach cost for orgs without AI governanceIBM 2025

How we help

Five practice areas that cover the full lifecycle of AI governance, from initial discovery through ongoing incident response.

Our approach

  • Every engagement builds on the NIST AI RMF and its four core functions.
  • Recommendations have been tested in production across public agencies, healthcare, and financial services.
  • Recurring assessment cycles, policy reviews on regulatory change, and dated re-measurement.
  • The five service areas are modular, scoped to what matters right now.
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Every engagement builds on the NIST AI Risk Management Framework and its four core functions: Govern, Map, Measure, and Manage. That gives you a defensible, vendor-neutral foundation whether you're answering to a board, a regulator, or a customer audit.

Frameworks on paper don't protect anyone. Every recommendation we deliver has been tested in production across public agencies, healthcare systems, and financial services organizations. When we tell you a control works, we've seen it work under pressure.

We also build for evolution. A governance program designed for today will be obsolete within a year if it is not structured to adapt. Our programs include recurring assessment cycles, policy reviews when the regulations change, and re-measurement that sets each new score beside the dated one before it.

We meet organizations where they are. Some clients come to us suspecting shadow AI exists while others have mature security programs and need to extend them into AI. The service areas above are modular, and we scope engagements around what matters to your organization right now.

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Ready to secure your AI environment?

Start with a conversation about your organization's AI exposure, governance needs, and adoption goals. We meet you where you are.