Last month, we shared our blog post, Evaluating AI Tools: A Security Checklist Before You Implement, where we discussed the key security and governance considerations organizations should review before adopting a new AI solution.
As AI continues to become a standard part of business operations, many organizations are finding themselves evaluating multiple tools at once. While the evaluation process doesn’t need to be overly complicated, having a consistent approach can help ensure important questions aren’t overlooked.
To make that process easier, we’ve created a free AI Evaluation Checklist Template that you can use during vendor reviews, proof-of-concept testing, or procurement discussions.
What’s Included?
The checklist is designed to help organizations quickly assess:
- Business fit and intended use cases
- AI governance and policy requirements
- Data access and model training practices
- Data storage, retention, and recovery controls
- Vendor security posture and testing practices
Whether you’re reviewing your first AI tool or comparing several vendors, this checklist can help guide conversations and document your findings.
For a deeper dive into the evaluation process and the reasoning behind each checklist category, be sure to read our previous post:
Evaluating AI Tools: A Security Checklist Before You Implement
Need Help Evaluating an AI Solution?
AI tools can introduce unique security, compliance, and governance considerations. If you’re evaluating a new AI platform and would like guidance on assessing vendor controls, data handling practices, or security risks, we’re here to help. Contact Us or schedule a call with our team to discuss your AI evaluation process.