Concentric AI Semantic Intelligence

Enforces document-level access at retrieval time so a user receives only context they are authorized to see, filtering before the vector search, after retrieval, or both.

Intercepts prompts and completions to prevent sensitive data (PII, credentials, internal IP), from being transmitted to external LLM services or returned in model responses.

Records prompts, completions, and metadata for all AI interactions with tamper-resistant storage, supporting compliance, forensics, and policy investigation.

Evaluates model outputs against content policy, data classification rules, and format expectations before delivery to end users, blocking responses containing sensitive data or policy violations.

Enforces IAM-style policies on LLM API access, controlling which users and applications can invoke which models and data sources, with audit logging.

Discovers and classifies sensitive data (PII, PHI, PCI data, IP) across cloud object storage, relational and NoSQL databases, data lakes, and SaaS platforms using content inspection and ML classification.

Maps effective permissions to sensitive data stores across cloud IAM, database roles, and SaaS permissions, identifies over-privileged access and dormant entitlements.

Assigns risk scores to discovered data based on sensitivity, access exposure, and configuration, then continuously monitors access patterns and policy compliance to surface the highest-risk data stores for action.

Automatically remediates discovered violations, revoking over-permissioned access, moving misplaced data to compliant storage, encrypting unprotected sensitive files.

Connects to cloud object storage, data warehouses, on-premises databases, and SaaS platforms for discovery and classification, with coverage depth varying by product.

Identifies data flowing into large language models and enforces data access governance and entitlement for generative AI use.

Continuously monitors data access patterns and flags anomalous or unauthorized access in real time.

Identifies sensitive data in locations outside authorized data stores, development databases containing production PII, unprotected S3 prefixes, forgotten data lake partitions.

Traces how sensitive data moves between storage locations, services, and users, surfaces unexpected cross-region transfers, shadow copies, and retention policy violations.

Detects how sensitive data moves and transforms through AI pipelines to prevent exposure.