At Connecty AI, we understand that trust is earned through transparency, control, and security. That’s why we’ve built our AI platform around strict data governance principles, designed to meet the highest enterprise standards without ever compromising your privacy or compliance posture.
Your sensitive data never leaves your environment or gets exposed to any Large Language Model (LLM). We rely on metadata, schema structure, and authorized query patterns—not raw data—to drive insights. Every AI interaction is handled with strict anonymization and no data leakage.
Your sensitive data never leaves your environment or gets exposed to any Large Language Model (LLM). We rely on metadata, schema structure, and authorized query patterns—not raw data—to drive insights. Every AI interaction is handled with strict anonymization and no data leakage.
Your sensitive data never leaves your environment or gets exposed to any Large Language Model (LLM). We rely on metadata, schema structure, and authorized query patterns—not raw data—to drive insights. Every AI interaction is handled with strict anonymization and no data leakage.
Your sensitive data never leaves your environment or gets exposed to any Large Language Model (LLM). We rely on metadata, schema structure, and authorized query patterns—not raw data—to drive insights. Every AI interaction is handled with strict anonymization and no data leakage.
Your sensitive data never leaves your environment or gets exposed to any Large Language Model (LLM). We rely on metadata, schema structure, and authorized query patterns—not raw data—to drive insights. Every AI interaction is handled with strict anonymization and no data leakage.
Your sensitive data never leaves your environment or gets exposed to any Large Language Model (LLM). We rely on metadata, schema structure, and authorized query patterns—not raw data—to drive insights. Every AI interaction is handled with strict anonymization and no data leakage.
Your sensitive data never leaves your environment or gets exposed to any Large Language Model (LLM). We rely on metadata, schema structure, and authorized query patterns—not raw data—to drive insights. Every AI interaction is handled with strict anonymization and no data leakage.
As GDPR veterans with financial industry expertise, we take data security more seriously than anyone else. From the moment your data is connected, we automatically extract all PII-related metadata and infer additional context—with users able to override these inferences at any time. This approach guarantees that no sensitive data is ever exposed to the large language models (LLMs).
Our data-in-place architecture ensures that all processing occurs exclusively within your data warehouse (e.g., Snowflake, Databricks, BigQuery).
You maintain full control over every interaction with your data—from sampling used to improve our Context engine’s understanding, to executing queries and analyzing results. Every action can be disabled or set to require explicit user confirmation.
Connecty AI operates solely via service account access, so you retain full control over permissions and policies, managed entirely within your infrastructure.
Connecty introduces a layered, innovative access management model:
1) Data Environments: Define how your physical data is accessed and manipulated.
2) Data Workspaces: Isolate the intelligence Connecty gathers about your data, enabling moderators to control the quality of metrics and definitions.
3) Data Scopes: Dynamically focus users on a specific subset of data during each session, with Connecty tailoring context for every request.
Every interaction with your physical data is fully verified by Connecty AI before execution. All queries are parsed and validated outside the LLM, strictly enforcing access rules. This eliminates the risk of prompt injection attacks, ensuring no one can manipulate the LLM to perform unauthorized actions beyond their permitted data scope.
Access controls can be configured with any level of granularity—from entire databases down to individual columns—empowering your administrators to create an impenetrable data governance experience for all users.
Define precisely what can be synced, materialized, and executed—with complete control over scope and location.
Enforce strict multi-environment separation (e.g., production, staging) to align with your deployment workflows.
Create unlimited data workspaces that mirror team boundaries and access policies.
OAuth2 authentication ensures seamless and secure login.
Credentials are protected with AES-256 encryption.
All communications are encrypted using TLS.
Integrated with SAML SSO (Okta) for centralized identity and policy enforcement.
Supports user-, group-, and role-based permissions aligned with your governance strategy.
Attribute-Based Access Control (ABAC) enables dynamic policy enforcement as users change roles or teams.
Every user action—including queries and modifications—is logged and fully traceable, supporting internal audits and regulatory compliance.
Your sensitive data never leaves your environment or gets exposed to any Large Language Model (LLM). We rely on metadata, schema structure, and authorized query patterns—not raw data—to drive insights. Every AI interaction is handled with strict anonymization and no data leakage.
Your sensitive data never leaves your environment or gets exposed to any Large Language Model (LLM). We rely on metadata, schema structure, and authorized query patterns—not raw data—to drive insights. Every AI interaction is handled with strict anonymization and no data leakage.
Your sensitive data never leaves your environment or gets exposed to any Large Language Model (LLM). We rely on metadata, schema structure, and authorized query patterns—not raw data—to drive insights. Every AI interaction is handled with strict anonymization and no data leakage.
Your sensitive data never leaves your environment or gets exposed to any Large Language Model (LLM). We rely on metadata, schema structure, and authorized query patterns—not raw data—to drive insights. Every AI interaction is handled with strict anonymization and no data leakage.
Your sensitive data never leaves your environment or gets exposed to any Large Language Model (LLM). We rely on metadata, schema structure, and authorized query patterns—not raw data—to drive insights. Every AI interaction is handled with strict anonymization and no data leakage.
Your sensitive data never leaves your environment or gets exposed to any Large Language Model (LLM). We rely on metadata, schema structure, and authorized query patterns—not raw data—to drive insights. Every AI interaction is handled with strict anonymization and no data leakage.
Your sensitive data never leaves your environment or gets exposed to any Large Language Model (LLM). We rely on metadata, schema structure, and authorized query patterns—not raw data—to drive insights. Every AI interaction is handled with strict anonymization and no data leakage.
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Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.
