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Choosing a Trusted AI Partner: 5 Data Security Questions to Ask Your Potential Vendor
- Lily Johnson
- Apr 8
- 3 min read
When selecting an AI partner for your organization, data security should be at the forefront of your evaluation process. Here are five essential questions to ask potential AI partners to ensure your data, your donor’s data, and everyone’s reputation remains protected.
1. Does the vendor follow a defined set of ethical guidelines for AI development and deployment?
What to look for:
A comprehensive framework that addresses ethics, fairness, transparency, accountability, and user rights. The vendor should be able to provide documented guidelines upon request.
Why it matters:
Ethical guidelines ensure the AI is developed and used responsibly, reducing risks of bias, discrimination, or misuse of your data.
How Version2.ai delivers:
Version2.ai adheres to a robust ethical framework that prioritizes data privacy, fairness in AI applications, and transparency in all operations.
2. Where and how is collected data stored?
Best practices include:
Role-based access controls and multi-factor authentication
Separation of sensitive and non-sensitive data
Regular security audits
Data anonymization techniques
Robust backup and recovery procedures
Compliance with relevant regulations
Clear data retention policies
Why it matters:
Proper data storage practices significantly reduce the risk of data breaches and unauthorized access to sensitive information.
How Version2.ai delivers:
Version2.ai implements encryption protocols for all data and maintains strict access controls. We comply with relevant data protection regulations and maintain clear data retention policies that clients can review.
3. What access control mechanisms are in place to ensure only authorized personnel can access sensitive data?
What to look for:
Detailed explanations of authentication systems, authorization protocols, and monitoring tools that prevent unauthorized access.
Why it matters:
Strong access controls create multiple layers of protection around your data, ensuring only those who need access can obtain it.
How Version2.ai delivers:
Version2.ai implements multi-layered access controls including multi-factor authentication, role-based access, and principle of least privilege (a user should only have access to the specific data, resources and applications needed to complete a required task). Regular access reviews ensure permissions remain appropriate as roles change.
4. Has the AI product undergone third-party security audits or assessments?
What to ask:
Do you have a SOC 2?
Which independent security firms conducted the audits?
What standards were used to evaluate the system?
Can you share the results or a summary?
How were identified issues addressed?
Why it matters:
Third-party validation provides objective assurance that security measures meet industry standards.
How Version2.ai delivers:
Version2.ai regularly undergoes comprehensive security audits by independent firms. Our systems are evaluated against industry standards including SOC 2. We transparently share audit summaries with clients.
5. How frequently are AI models updated or retrained to address new threats, improve accuracy, or reduce biases?
What to look for:
A regular schedule of updates with clear processes for emergency patches when new vulnerabilities are discovered.
Why it matters:
AI security is not a one-time implementation but requires ongoing maintenance to protect against evolving threats.
How Version2.ai delivers:
Version2.ai maintains its AI models with scheduled cycles to improve performance, and reduce biases. All updates undergo thorough testing before roll-out.
Why Choose Givzey | Version2.ai
At Givzey | Version2.ai, we're dedicated to security and compliance not only to mitigate concerns but to foster donor trust. Our commitment to security excellence means that when you choose Givzey | Version2, you're not just adopting powerful autonomous AI—you're partnering with a company that prioritizes the protection of your data and the maintenance of trust at every step.
