Capeprivacy
Cape Privacy enhances productivity through agentic workflow automation, leveraging private LLMs for secure data interaction and automation across platforms with privacy-focused infrastructure.
Independent assessment across data handling, compliance, security and transparency.
Risk factors
3- Utilizes private LLMs for secure data interaction
- Focus on privacy, but still processes user data
- Enterprise controls in place for data access
Recommendations
4- Verify private LLM infrastructure claims with technical documentation
- Conduct security review of all platform integrations before deployment
- Request SOC 2 and DPA given enterprise data access scope
- Apply least-privilege principles to all platform integration permissions
Data handling
- Storage
- Privacy-focused infrastructure; private LLM claimed
- Retention
- Not publicly documented
- Training on inputs
- Claims not to train on user data via private LLM approach
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