AI Data Exposure
Sensitive data leaks through AI two ways - in the prompts and responses crossing the wire, and through the corpora a RAG pipeline can reach. Penaxtra covers both.
Last reviewed July 2026
The gap AI data exposure closes
Customer records, secrets, and PII end up in prompt bodies sent to third-party models, and in RAG corpora a retrieval can surface across tenants. Neither is visible to classic DLP, which never sees the LLM path.
How Penaxtra delivers AI data exposure
At runtime, the self-hosted gateway applies DLP rules and redaction to prompts and responses on the wire, so PII and secrets are scrubbed before a request leaves your network. At rest, Penaxtra inventories the data sources, RAG corpora, and vector stores in scope and tests retrieval boundaries for cross-tenant leakage. Judge rationales are PII-redacted before any record is persisted.
AI data exposure capabilities
Secrets and PII scrubbed before egress to model providers
Data-source, RAG corpus, and vector-store inventory
Retrieval-boundary and tenant-isolation tests
PII redaction before any finding is stored
Findings mapped to data-governance control IDs
AI data exposure compliance mapping
Maps to OWASP LLM06 (sensitive information disclosure), EU AI Act Article 10 (data governance), GDPR data-minimisation expectations, and ISO/IEC 42001 data controls.