Data Security at Terno
Terno is built with a security first philosophy, designed specifically for enterprises operating at global scale and handling mission critical data. Below is a detailed overview of how Terno ensures data privacy, isolation, and deterministic enforcement of security controls without compromise.
Why Enterprises Trust Terno
Deployed Inside Your Private Cloud
Terno runs entirely within an organizations’ private cloud or on premise infrastructure. All data remains within your network boundary, governed by your IAM, firewall, and compliance policies. There is no data movement to external SaaS systems or third party servers.
No Data Shared with LLMs
Terno follows a strict separation between enterprise data and AI models. Only controlled metadata such as table structure and relationships may be shared with the LLM. Actual data values, records, and sensitive fields are never exposed.
Support for Private LLMs
Terno can be configured to use private or self hosted LLMs. This provides full control over model selection, inference behavior, logging, and compliance requirements.
Fine Grained Access Control
Access can be restricted at the table, column, and row levels. This enables precise enforcement of role based access, regional isolation, and business unit specific visibility consistently across all analytics workflows.
One Way Encrypted Yet Analyzable Fields
Sensitive fields can be stored using irreversible one way encryption. While the raw values remain unreadable, the data can still be safely used for aggregations, grouping, and analytics ensuring privacy without sacrificing insight.
Object Renaming & Logical Abstraction
Database objects can be logically renamed or abstracted before exposure to users or AI models. This protects internal schema design, proprietary logic, and sensitive business semantics.
Deterministic, Non AI Security Layer
All queries pass through a hardened, deterministic query transpiler that enforces security policies before execution. Security enforcement is rule based and auditable, not dependent on AI behavior ensuring zero leakage and zero bypass.
Deployed Inside Your Private Cloud
Terno runs entirely within an organizations’ private cloud or on premise infrastructure. All data remains within your network boundary, governed by your IAM, firewall, and compliance policies. There is no data movement to external SaaS systems or third party servers.
No Data Shared with LLMs
Terno follows a strict separation between enterprise data and AI models. Only controlled metadata such as table structure and relationships may be shared with the LLM. Actual data values, records, and sensitive fields are never exposed.
Support for Private LLMs
Terno can be configured to use private or self hosted LLMs. This provides full control over model selection, inference behavior, logging, and compliance requirements.
Fine Grained Access Control
Access can be restricted at the table, column, and row levels. This enables precise enforcement of role based access, regional isolation, and business unit specific visibility consistently across all analytics workflows.
One Way Encrypted Yet Analyzable Fields
Sensitive fields can be stored using irreversible one way encryption. While the raw values remain unreadable, the data can still be safely used for aggregations, grouping, and analytics ensuring privacy without sacrificing insight.
Object Renaming & Logical Abstraction
Database objects can be logically renamed or abstracted before exposure to users or AI models. This protects internal schema design, proprietary logic, and sensitive business semantics.
Deterministic, Non AI Security Layer
All queries pass through a hardened, deterministic query transpiler that enforces security policies before execution. Security enforcement is rule based and auditable, not dependent on AI behavior ensuring zero leakage and zero bypass.
Architecture of Terno
"Terno’s architecture blends modular intelligence with secure, semantic access to enterprise data.
Designed for scalability, extensibility, and precision across diverse tools and databases."
Metastore:
SQLShield:
Semantic Layer on Databases:
Multi-Database Support:
Artifact Store:
Enterprise Tooling Augmentation:
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Frequently Asked Questions
Find quick answers to common questions
How is Terno AI different from ChatGPT or other AI tools?
Unlike generic AI models, Terno AI is built for analytics. It understands your database schema, enforces access controls, and generates highly accurate SQL queries tailored to your data. It also integrates directly with your database, allowing real-time insights.
Who can benefit from Terno AI?
Terno AI is designed for technical and non-technical business users, data teams, and decision-makers who need quick and accurate insights without relying on SQL experts or waiting for reports. It’s perfect for finance, operations, marketing, HR, ERP data analysis, etc.
Does Terno AI require coding knowledge?
No. Terno AI is designed to be fully no-code. Users can simply type their queries in plain English, and Terno will generate and execute the correct SQL automatically.
Can Terno AI handle large datasets and complex queries?
Absolutely. Terno AI is built to work with enterprise-scale databases, handling large datasets and complex joins efficiently without slowing down performance.
