Google Agentspace
Enterprise AI agent platform by Google that connects AI assistants to internal business data and tools.
Independent assessment across data handling, compliance, security and transparency.
Risk factors
3- Connects AI assistants to internal business data.
- Data may be used for improving AI models.
- Requires strong enterprise controls for data access.
Recommendations
4- Establish an agent creation and approval policy before rolling out Google Agentspace broadly
- Audit which internal data sources each agent has access to and enforce least-privilege
- Enable logging and audit trails via Google Cloud Audit Logs for all agent interactions
- Use Aona AI to maintain visibility across all AI agent deployments including Agentspace
Data handling
- Storage
- Google Cloud infrastructure (customer-specified region)
- Retention
- Configurable — follows organisation data retention policies
- Training on inputs
- Customer data not used to train Google models by default
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