Privacy-Aware AI Architecture
Design AI applications with appropriate controls around how personal data enters, moves through and is stored within AI systems.
Controlled Prompt Processing
Build application workflows that reduce unnecessary personal data entering prompts, model requests and AI processing pipelines.
Secure AI APIs
Connect applications with AI models and external AI services while controlling the information transmitted through APIs.
Protected Knowledge Bases
Design RAG and knowledge-based AI systems with appropriate access controls around documents, embeddings and retrieved information.
Responsible AI Agents
Build agentic workflows with controlled access to databases, APIs, files and business systems that may contain personal data.
AI Data Lifecycle Controls
Consider how prompts, conversations, uploaded documents, outputs and supporting data are retained, accessed and deleted.
