Total Security Program for Code Data
Potpie AI provides different levels of security mechanisms:
- Deployment mode selection::
- Open source version: completely local operation, code data not out of the intranet
- Hosted version: provides end-to-end encrypted transmission with optional regional isolation deployment
- Enterprise Edition: support for private deployment + proprietary model fine-tuning
- access control::
- RBAC-based Privilege Management System
- Support for SSO/LDAP integration
- Operation log audit trail
- data processing::
- Option to enable differential privacy technology
- Automatic desensitization of sensitive code (e.g. API key detection)
- Memory Data Timing Cleaning Mechanism
with regards to金融/医疗For sensitive industries, it is recommended to adopt the hybrid architecture of "Knowledge Graph Pre-construction + Local Modeling", i.e., to construct the code knowledge graph in an isolated environment, and use only the structural metadata (without business logic) for remote model inference. The system is also supported byISO 27001certification, and provides source code white-box auditing capabilities.
This answer comes from the articlePotpie AI: An AI engineering assistant for quickly creating proprietary code basesThe
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