Designed for organizations managing sensitive data across on-prem, private cloud, and hybrid sovereign infrastructures. Gain full query-level control, data-in-use protection, and compliance visibility from a single, centralized Zero Trust Engine.









A unified Zero Trust and privacy-preserving layer for database access
Designed for organizations managing sensitive data across on-prem, private cloud, and hybrid sovereign infrastructures.
Gain full query-level control, data-in-use protection, and compliance visibility from a single, centralized Zero Trust Engine.

Bring all database queries, policies, encrypted computations, and audit trails into one observable and controllable layer. Maintain true data-in-use privacy, regulatory compliance, and operational control as your data estate grows.
Maintain a complete inventory of database access policies with standardized Zero Trust rules.
Track identity, device posture, context, and FHE encryption status to support secure operations and audits.

Monitor all database interactions and query execution on encrypted data without ever exposing plaintext.
Detect policy violations and anomalies instantly while preserving full privacy.

Centralized reporting, audit trails, and compliance dashboards ensure database operations remain traceable, auditable, and fully controllable at scale.

Designed for organizations managing user access across internal systems, cloud services, and third-party applications.

Grant database access and query execution only when required, with explicit policy approval. Eliminate standing privileges by enforcing just-in-time query approval and automatic revocation after each session.

Provide controlled access for vendors, partners, and external teams without sharing credentials or exposing data. All queries are brokered through encrypted micro-tunnels and processed with Fully Homomorphic Encryption (FHE).

Execute full SQL queries, joins, aggregations, and analytics directly on encrypted data using FHE. Plaintext is never exposed — not in transit, not at the gateway, not in memory, and not inside the database.
Session recordings, detailed logs, and controlled access paths support forensic analysis, compliance reviews, and long-term auditability.

Protect data across its full lifecycle with encryption at rest, in transit, and in use (FHE), ensuring plaintext is never exposed.
Control exactly what data can be retrieved by applying fine-grained security policies directly at the query level.
Run queries and analytics on encrypted datasets without decrypting the underlying sensitive information.
Securely query specific data entries or match identifiers across datasets while keeping the original data confidential.
Run distributed analytics and computations across multiple encrypted data sources with securely aggregated results.
Supports SQL-like queries across mixed data types including plaintext, ciphertext, and external databases.
Supports BFV, BGV, CKKS, and TFHE schemes with arithmetic operations (Add, Multiply, Compare, Join) and hardware acceleration (GPU/FPGA).
Near real-time encrypted query processing (~500ms for 1M raw data/CPU) with batching, SIMD packing, and parallel computation for high-throughput workloads.
See how organizations reduce risk, unify access, and collaborate securely.

How the State Bank of Vietnam reduced false positives by 65% and integration time by 80% in national AML detection with AIDATACY’s encrypted collaboration engine
__Senior AML/KYC Manager__
You've seen what AIDATACY can deliver - unified visibility, Zero-Trust access, resilient multi-site security, and future-ready encrypted collaboration. Now it's your turn to run operations smoother - and spend smarter.