How to Audit Your AI Security: What SMBs Need to Know
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AI Is Changing Business, But What About Security?
Why AI Security Matters
- Data leaks through third-party AI platforms
- Unauthorized access to AI systems
- Inaccurate or manipulated AI outputs leading to business errors
- Compliance issues if AI tools mishandle personal information
Common AI Security Risks for SMBs
- Feeding AI sensitive data without proper controls
- Using public AI platforms with unclear data policies
- No security reviews of AI software integrations
- Weak or missing access controls on AI tools
- Lack of monitoring for AI-generated content or decisions
How to Audit Your AI Security
1. Identify the AI Tools You’re Using
- Chatbots
- Automation tools
- AI writing or content generators
- Customer support AI
- AI-driven analytics platforms
2. Review Data Inputs and Outputs
- What data are we feeding into this AI tool?
- Where is that data stored or processed?
- Is the data encrypted and protected?
- Could the AI outputs expose sensitive information?
3. Check Vendor Security Practices
- Do they follow industry-standard security protocols?
- Are they compliant with regulations like GDPR or CCPA?
- How do they handle data retention and deletion?
4. Set Access Controls
5. Monitor and Update Regularly
- Monitor for AI-related incidents or anomalies
- Update permissions as roles change
- Ensure your AI tools are patched and secure
Use AI Safely, Stay Secure
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