Stack Vault's Stack Insight scans every prompt, embedding, and training corpus — surfacing PII, secrets, and IP before they leave your VPC.
Prompts, vector stores, fine-tuning sets, agent memory, eval datasets. We scan all of it.
Inline scanning of user prompts and system messages before they hit the model — redact, block, or alert.
Continuous classification of embeddings in Pinecone, Weaviate, pgvector, and Chroma.
Full-corpus scans for fine-tuning datasets. PII, PHI, copyrighted material, and secret leak detection.
Long-term memory stores for agentic systems audited the same way you'd audit a database.
Block exfiltration to external model providers when sensitivity policy says no.
Detect your proprietary IP: source code, customer lists, board materials, M&A artifacts.
Straightforward answers about scope, integration, data handling, and rollout.
Traditional DLP doesn't understand embeddings or model APIs. We classify vector representations and audit RAG retrieval — not just file movement.
No. Classification runs on tenant-isolated infrastructure inside your VPC. No prompts or content leave your boundary.
We're HIPAA BAA-ready and aligned to GLBA Safeguards Rule. Healthcare and financial deployments use a hardened compute pool.
Yes. Bring your own regex, BYO model, or use our SDK to write custom Python classifiers for proprietary categories.