As enterprise AI adoption accelerates, how is your organization adapting its governance and risk oversight to keep pace?

Machine Learning (ML)Artificial Intelligence (AI)

Established AI governance framework with defined policies and oversight37%

Currently developing governance models and risk controls59%

Relying on existing security/compliance frameworks (no AI-specific policy)26%

No formal AI governance approach in place4%

97 PARTICIPANTS
867 viewscircle icon1 Upvotecircle icon1 Comment
Sort by:
Chief Technology Officer in Healthcare and Biotech2 months ago

It's a must and the earlier the better.

Content you might like

Are you using the SANS security awareness maturity model at your org?

Yes35%

We’re considering it43%

No19%

Don't know1%

View Results

Are context engineering skills a high priority for your organization right now? How does that skill set compare to prompt engineering?

My company is looking at deploying a Gen-AI model to increase the rate of touchless invoices (Invoice-to-Pay). The main area of Gen-AI adoption is to automate as much as possible the completeness of the invoice post-OCR & derive the taxation (VAT code, VAT rate etc.) Does anyone have any experiences with such approach? Lessons learned?

Read More Comments

Security awareness & training — what have you found more effective, short-term or long-term programs?

Short-term programs79%

Long-term programs20%

What "tells" have you noticed for AI-generated text (i.e., typical words/phrases, or other patterns indicative of GenAI)?

Read More Comments