Adopted. Prompted. Now What?
Download the AI Security White Paper for Nonprofits
Built for nonprofit fundraisers and marketers who've adopted AI and are ready to understand what that actually means for their data and content.
92% of nonprofits have adopted AI. 76% have no AI policy. And most teams don't realize that the tools they use every day handle donor data in ways they've never been asked to consider.
This paper is the conversation nobody else in the nonprofit sector is having — until now.
Inside the white paper, you'll find:
The security threats the tech world is tracking that haven't yet reached the nonprofit conversation, including prompt injection, AI memory poisoning, and agentic AI vulnerabilities.
A clear breakdown of how major AI tools handle your data — what trains on your inputs, what retains your conversations, and what the difference actually means.
Practical defenses for each specific threat, written for teams without dedicated IT security staff.
A seven-day action plan your team can start using now with no budget and no technical expertise.
A ready-to-use AI usage policy template.
A vendor evaluation worksheet to assess every AI tool in your stack.
The AI Security Conversation the Nonprofit Sector Hasn't Had Yet.
Who it's for: Nonprofit fundraisers, marketers, and operations leaders using AI tools in their daily work, especially those handling donor data, managing small teams, and making decisions about technology without a dedicated security function.
Published by VeraData. Shaped by our PhD-level analytics and AI experts. Independently reviewed by cybersecurity and AI security professionals.
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This white paper gives you the awareness. VeraData gives you the infrastructure.
If you want to understand how your current AI and data practices measure up — or how a data partner that's been doing this for nearly 20 years handles it differently — we'll start with a conversation, not a pitch.
Reach out to learn about our Donor Science™ approach and how security and data governance are built into everything we do.
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