Risks of using 3rd party systems for AI governance
Based on the EU AI Act, high-risk AI providers have numerous documentation requirements. When using a third-party SaaS document management system to store these documents, several privacy and security concerns arise.
As developers of open source AI governance platform VerifyWise, together with our expertise working with onprem platforms in the enterprise, we are aware of those risks.
In this post we’ll discuss about the control items of which this information to a third-party system could expose sensitive intellectual property and trade secrets.
Disclosing sensitive technical documentation
According to the EU AI Act, high-risk AI providers must create and maintain detailed technical documentation. This includes:
- System architecture and design specifications.
- Data requirements and governance procedures.
- Development methodologies and techniques.
- Performance metrics and testing results.
Most of the time, a high risk AI company with stringent privacy considerations do not disclose such information to the public. Especially financial institutions, insurance companies, healthcare providers and telcos use self hosted, on-premises platforms to store relevant data.
Disclosing risk registry
According to the EU AI Act, providers must establish a risk management system, documenting:
- Risk identification and analysis
- Risk estimation and evaluation
- Risk control measures
This documentation may also contain sensitive information about the company’s system vulnerabilities and mitigation strategies.
Documentation about training data
- Data sources and characteristics
- Preprocessing techniques
- Labeling procedures
Logging capabilities
- Types of data logged
- Storage and retention policies
- Access control measures
VerifyWise: democratizing AI governance
- Enhanced data control: You have full ownership and control over sensitive documentation and data. There is no need to upload critical information to third-party systems, which reduces risk of unauthorized access or data breaches.
- Customization and integration: Since you have the full source code, you have the ability to tailor the platform to specific organizational needs and security requirements, and integrate with existing on-premises security infrastructure
- Reduced exposure of trade secrets: Your sensitive AI system details and algorithms remain within the organization, lowering the risk of IP leakage.